Agency News  ·  Performance Marketing  ·  Published March 2026  ·  5 min read

Quick Summary

• SL named a 2026 Google Premier Partner — top 3% of Google Partners globally
• Google Premier Partner status held continuously since 2010
• Full-stack agency operating across 7+ countries
• Deep expertise in banking, education, government, healthcare, semiconductor & technology, tourism, e-commerce, manufacturing, and industrials
• Specialists in paid search, SEO, content, influencer, e-commerce, and web development

What Is the Google Premier Partner Designation?

The Google Partners program recognizes digital marketing agencies that manage Google Ads on behalf of brands and businesses. Premier Partner is its highest tier — awarded to agencies that meet Google's most stringent benchmarks across certified expertise, client account performance, and new business growth.

In 2026, Beyond Media Global (SL) was named a Google Premier Partner, placing the agency among the top 3% of Google Partners globally. Premier Partners receive exclusive access to Google tools, beta products, and direct strategic support — all of which SL applies directly to client campaigns.

People, Process, and Standards

SL's Premier Partner recognition is the result of consistent execution by experienced specialists — not a single campaign win. The agency's teams are embedded in the markets they serve across 7+ countries, each bringing deep local fluency within a global performance framework that holds every engagement to the same standard.

Every client engagement at SL begins with foundational work: tracking infrastructure, account structure, audience logic, content alignment, and landing page readiness. Execution spans the full funnel — from demand capture through to conversion and retention — with continuous refinement against real business outcomes: qualified leads, completed applications, revenue, and customer lifetime value.

Industries SL Serves

Regulated Markets. High-Value Audiences. Measurable Outcomes.

Financial services is one of the most demanding categories in digital marketing — and one where SL has built a deep, proven track record. We support retail banks, wealth management firms, insurance providers, fintech brands, and financial institutions across Asia, the United States, and Australia, operating within strict regulatory and compliance frameworks while delivering acquisition programs that move the metrics that matter.

SL has rebuilt paid media structures, overhauled measurement and attribution logic, and redesigned landing page architectures for multi-product, multi-market acquisition programs across regulated banking environments. Our teams understand the difference between a click and a qualified application — and build campaigns around the latter. We work with compliance teams, legal reviewers, and marketing stakeholders simultaneously, ensuring that performance is never achieved at the cost of regulatory integrity.

For financial brands expanding across borders — from Hong Kong into Southeast Asia, from the US into international markets, or from Australia into Asia Pacific — SL provides the regional intelligence and operational infrastructure to execute without compromise.

Student Acquisition, Institutional Reach, and Global Enrollment Growth.

Education marketing is among the most multi-layered in digital — combining the emotional weight of a life-defining decision with the practical complexity of reaching multiple audiences simultaneously: prospective students, parents, school counselors, and institutional partners, each requiring different messaging, different channels, and different timing across a decision cycle that can span months or years.

SL works with universities, international schools, language institutions, professional training providers, and edtech platforms across Asia Pacific and North America — building digital programs that drive awareness, generate inquiries, and convert prospective students through to enrollment. Our multilingual capabilities allow us to run campaigns in English, Mandarin, Cantonese, and other regional languages from a single integrated team, making SL a particularly strong partner for institutions targeting international student markets across Greater China, Southeast Asia, and the broader Asia Pacific region.

From Google and Meta performance campaigns to content strategies that build institutional authority, influencer programs that reach student communities on TikTok and Xiaohongshu, and web development that converts prospective student traffic — SL builds enrollment growth systems, not one-off campaigns.

Precision, Accountability, and Public-Standard Execution.

Government and public sector clients hold digital marketing agencies to a standard that the private sector rarely matches. Messaging must be precise, legally reviewed, and culturally appropriate. Delivery must be transparent and fully accountable. Outcomes must be measurable and defensible to oversight bodies and the public alike. SL has operated at this standard across multiple government engagements spanning economic development, public health awareness, tourism promotion, citizen services, and investment attraction campaigns.

Our government work spans national agencies, statutory bodies, economic development authorities, and government-linked organizations across Asia Pacific and North America. We understand the procurement process, the stakeholder complexity, and the reporting requirements that government clients navigate — and we build our engagement model around them. Many of our public sector engagements are confidential by nature, which is itself a reflection of the trust governments place in SL to handle sensitive programs with discretion.

For government clients, SL offers the rare combination of global agency capability and local market credibility — with teams embedded in the markets where campaigns actually run, and a culture of operational transparency that public sector partners can rely on.

Compliant, Patient-Centered Digital Marketing at Scale.

Healthcare marketing demands a rare combination of regulatory discipline and audience empathy. SL supports healthcare providers, hospitals, health systems, pharmaceutical brands, and medical device companies across Asia Pacific, the United States, and Australia — building digital programs that communicate clearly to patients, caregivers, and healthcare professionals within strict compliance frameworks. From search and content strategies that drive appointment bookings and patient acquisition, to awareness campaigns for new treatments and services, SL brings the precision and accountability that healthcare brands require.

B2B Demand Generation for High-Complexity Technology Brands.

Semiconductor and advanced technology companies face a marketing challenge that few agencies are equipped to handle: highly technical products, deeply specialized buyer audiences, long and relationship-driven sales cycles, and global supply chain dynamics that require simultaneous brand presence across multiple markets and geographies. Generic digital marketing approaches do not work here. SL's experience at the intersection of technology, B2B, and Asia Pacific market dynamics makes us a credible and capable partner for this sector.

SL supports semiconductor manufacturers, fabless chip designers, component suppliers, and technology platform companies across Taiwan, the United States, Hong Kong, and broader Asia Pacific — developing programs that build brand authority, generate qualified B2B demand, and support market development in new regions. Our presence in Taiwan, one of the world's foremost semiconductor hubs, gives SL direct insight into the ecosystem, the stakeholders, and the market dynamics that shape how technology brands grow globally.

From search and content strategies that establish technical credibility, to programmatic and paid media that reaches procurement decision-makers, to government and institutional relationship programs that support market entry — SL brings a full-stack approach to one of the world's most strategically important industries.

Full-Funnel Travel Campaigns Across Markets and Languages.

Travel and tourism is a category defined by complexity of intent. Travelers move through long, non-linear decision journeys — researching destinations months in advance, comparing options across multiple platforms, and making final decisions based on a combination of inspiration, social proof, and price. SL is built to be present and persuasive at every stage of that journey.

We partner with national tourism boards, destination marketing organizations, hotel groups, airlines, hospitality brands, and travel platforms across Asia Pacific and beyond. Our work spans brand awareness campaigns that build destination desirability, performance media that captures high-intent travelers at the point of search, and influencer and content programs that generate the authentic social proof modern travelers rely on. All of it executed across multiple languages, time zones, and cultural contexts simultaneously.

SL's multilingual capabilities — spanning English, Mandarin, Cantonese, and other regional languages — make us a uniquely capable partner for destinations and travel brands targeting diverse international source markets from a single agency relationship.

Scalable International Growth, Market by Market.

E-commerce growth becomes exponentially more complex the moment a brand crosses a border. Customer behavior shifts. Platform economics change. Creative that converts in one market falls flat in another. Payment preferences, logistics expectations, and trust signals all vary by region — and the brands that scale successfully are those that treat each market as its own growth problem, not a copy-paste of their home market strategy.

SL supports e-commerce brands at every stage of international expansion — from market entry strategy and localized search and content, to paid media across Google, Meta, TikTok, and regional platforms, to Shopify development, shopping feed optimization, and Amazon Ads management. We have built over 50 Shopify sites and are an official Shopify Partner and Amazon Ad Partner, giving our e-commerce clients access to platform expertise that goes beyond media buying.

For brands scaling across Asia Pacific, North America, or both simultaneously, SL provides the integrated infrastructure — creative, media, technology, and content — to build a repeatable growth model that holds across markets without losing local relevance.

B2B Digital Growth for Complex, Relationship-Driven Industries.

Manufacturing and industrial brands face distinct digital marketing challenges: long procurement cycles, highly technical buyer personas, and the need to build credibility with procurement teams, engineers, and C-suite decision-makers simultaneously. SL develops B2B demand generation programs for manufacturers, industrial suppliers, and capital equipment brands — combining search visibility, content authority, and paid media to build pipeline at every stage of the buying cycle. With regional expertise across Asia Pacific and North America, SL supports both export-focused manufacturers and brands establishing or growing their presence in new markets.

SL's Full-Stack Model: Integration as Competitive Advantage

Beyond Media Global operates as a full-stack digital marketing agency. What makes this model effective is not service breadth — it is integration. SEO intelligence informs paid search. Media insights shape content. Developers optimize what strategists design. E-commerce connects acquisition to revenue. The result is a connected growth system, not isolated tactics.

15+ Years of Google Recognition

• 🏆 Google Premier Partner — continuously since 2010
• 🌟 Google Ads All Star Agency — globally
• 🔍 Search Ads Finalist — Greater China
• 🌈 Premier Partner Finalist, Diversity, Equity & Inclusion — Australia & New Zealand

Frequently Asked Questions

A Google Premier Partner is an agency that has achieved the highest tier of the Google Partners program, placing it among the top 3% of participating agencies in its country. Premier Partners meet Google's highest benchmarks for performance, certified expertise, and client growth.

SL has held Google Premier Partner status continuously since 2010 — over 15 years of sustained recognition across multiple markets and client environments.

SL has deep expertise in banking and financial services, education, government and public sector, healthcare, semiconductor and advanced technology, tourism and destination marketing, global e-commerce, manufacturing, and industrials — in addition to serving Fortune 500 multinationals and high-growth startups across a broad range of categories.

SL operates across 7+ countries with offices in Hong Kong, Taipei, New York, New Jersey, Guangzhou, and Melbourne.

SL offers paid search and Google Ads management, Meta advertising, TikTok marketing, programmatic and display, SEO, China social media, influencer marketing, content strategy and creation, e-commerce and Amazon, web development, digital wayfinding and local, and data and analytics.

SL has been recognized as a Google Ads All Star Agency globally, a Search Ads Finalist in Greater China, and a Premier Partner Finalist for Diversity, Equity and Inclusion in Australia and New Zealand.

About Beyond Media Global

Beyond Media Global (SL) is a multinational full-stack digital marketing agency with offices across Hong Kong, Taipei, New York, New Jersey, Guangzhou, and Melbourne. SL serves Fortune 500 companies, government institutions, and high-growth brands across banking and financial services, tourism, e-commerce, and beyond. The agency has held Google Premier Partner status since 2010 and is also recognized as a Meta Business Partner, TikTok Marketing Partner, IAB member, Amazon Ad Partner, Shopify Partner, and affiliate of the Association of Accredited Advertising Agencies of Hong Kong (4As).

Beyond Media Global · bmgww.com/insights · © 2026 Beyond Media Global. All rights reserved.

Travellers are no longer typing two-word queries into a search bar. They're having full conversations with AI — asking things like "What's the best family-friendly thing to do in Hong Kong on a rainy afternoon?" or "Which airline out of Asia has the best business class to Europe?" Those questions go to ChatGPT. To Perplexity. To Google's AI Overviews. And the answer that comes back is either your brand — or it isn't.

For most travel and hospitality brands in Asia right now, it isn't.

The Search Landscape Has Already Changed

AI-referred sessions grew 527% year-over-year in the first half of 2025. ChatGPT now serves over 800 million weekly users. Gartner predicts traditional search volume will fall 25% by 2026. And 65% of Google searches already end without a click — because the AI answers the question directly on the results page.

The brands that get cited in those answers have content structured for extraction: direct answers in the first sentence, FAQ schema markup, fact-dense destination guides, and consistent mentions across authoritative third-party sources. The brands that don't get cited are still optimizing for blue-link rankings — a playbook becoming as relevant as the Yellow Pages.

Generative Engine Optimization (GEO) is the discipline of making your brand visible not in search results, but inside the AI-generated answers themselves. It is the single most important shift in travel search marketing since Google replaced directory listings — and almost no travel brand in Asia-Pacific is doing it yet.

Key Insight

The "zero-click" reality isn't a future threat — it's the present. With 65% of searches ending without a page visit, the goal of search marketing is no longer to rank #1 and get a click. It's to own the answer itself. Being cited in an AI response is the new first-page ranking. GEO is the discipline that gets you there.

What We Find When We Scan Travel Sites

We audit travel and hospitality websites regularly as part of our research process. Without naming anyone specifically, here are the patterns we find repeatedly across the industry — and why AI isn't recommending these brands.

Transactional homepages with no answer content. The most visited pages are built entirely around conversion: buy tickets, get directions, check availability. There's nothing there for an AI to extract when someone asks a discovery-stage question. The brand is invisible at the moment that matters most.

Zero structured data. When we crawl for schema markup — FAQ, Event, LocalBusiness, HowTo — we regularly find little to nothing. Schema is how AI platforms understand and cite your content with confidence. Without it, your pages exist for humans but not for machines.

Narrative copy that AI can't extract. Long, beautifully written destination guides with no direct answer in the first 40–60 words. No self-contained fact blocks. No Q&A sections. Enjoyable to read. Essentially invisible to generative AI, which needs a clean, citable answer in under a second.

Third parties owning the AI narrative. When we run category queries through ChatGPT and Perplexity, responses are built almost entirely from aggregator content, review platforms, and travel blog roundups. The brand's own site contributes almost nothing to the AI's answer.

Organic search as an afterthought. For some of the largest travel brands in the region, organic search is only the second or third largest traffic channel — behind direct visits. New-intent travellers at the discovery stage are not being captured at all.

The 5 Things Your Search Agency Is Getting Wrong

Optimizing for keyword rankings instead of AI citations

Traditional agencies track rank positions on Google. GEO tracks brand citations in AI-generated answers on ChatGPT, Perplexity, Gemini, and Google AI Mode. These are fundamentally different metrics — and most travel agencies aren't measuring the one growing 527% year over year.

Building content for humans, not for machine extraction

AI platforms favor content with direct answers in the first 40–60 words, fact density throughout, FAQ schema markup, and self-contained information blocks. Travel content is typically long, narrative, and unstructured — beautiful to read, invisible to AI.

Ignoring the authority signals AI actually uses

AI systems prioritize brands mentioned consistently across independent, authoritative sources: travel journalism, verified review platforms, structured third-party data. Agencies focused only on on-site optimization miss the earned media strategies that build AI authority.

Treating search and Martech as separate disciplines

In the AI era, search visibility is powered by how well your first-party data connects to your content strategy. Brands with integrated Martech — where CRM data, customer journey signals, and content systems talk to each other — publish at a speed siloed SEO teams simply can't match.

Working with a sales-driven agency instead of an engineering-led one

Most digital agencies are built around account management and pitch decks. SL is built around engineers who actually write code, deploy schema, build agentic workflows, and debug what's breaking in your AI citation pipeline. When your brand isn't showing up in ChatGPT, the fix isn't a new content calendar. It's someone who can open a crawler, read a structured data report, and ship a solution. Ask your current agency when an engineer last touched your account. That question alone tells you everything.

What a Real Fix Looks Like

At Beyond Media Global, we treat this as a full-stack visibility problem — not an SEO retainer. Data engineering, content architecture, Martech integration, and agentic AI working together.

Adeqo.com

Martech infrastructure that enables AI search visibility

Most brands' AI search invisibility is a data problem masquerading as a content problem. Adeqo's Martech platform unifies first-party customer data, enabling content personalization, audience segmentation, and real-time signal activation. When your data is connected and structured, your content gets built to the standard AI platforms actually cite.

pable.ai

Agentic AI systems that scale what humans can't

Running GEO at scale — updating destination content, maintaining FAQ schema, monitoring citation share across five AI platforms — is not a human-speed problem. Pable.ai's agentic systems handle the execution layer continuously, without requiring a human to trigger every action.

SL AI-Powered SEO

An engineering-led team, not a sales-driven agency

SL is run by engineers who understand AI — not account managers who sell it. Our team writes the code, deploys the schema, builds the agentic workflows, and reads the crawl data. We show up to strategy calls with your brand's current AI citation share already measured. We leave having shipped something — not promised it.

The Window Is Open — But It Won't Stay That Way

GEO is still early enough that first-movers capture significant citation share while competition remains low. Research consistently shows GEO-optimized content achieves 30–40% higher visibility in AI-generated answers — and that advantage compounds as AI platforms incorporate your brand into their training data over time.

The Asia-Pacific travel market is projected to grow at 8.3% CAGR through 2035. The brands that own AI search in this window will own traveller consideration for a decade. The ones that don't will pay OTAs and aggregators to exist in the discovery layer they could have owned directly.

The products are extraordinary. The experiences are real. The problem is that the digital infrastructure designed to communicate them to travellers was built for a world that no longer exists — and the agencies responsible for it either don't know it yet, or they do know it and haven't said so.

We'll tell you straight.

Let's Measure Your AI Search Visibility

We'll show you exactly where your brand stands across ChatGPT, Perplexity, Gemini, and Google AI Mode — before we talk about anything else. Engineers on the call. Data on the table.

For businesses targeting the mainland Chinese demographic in Hong Kong—particularly in banking and media—this creative agility is essential. Computational art enables the rapid generation and iteration of visuals tailored to different audience segments, cultural contexts, and language preferences. For example, banks can deploy machine-generated storytelling to communicate financial concepts to students, or promote premium offerings to high-talent individuals.

Creative testing through computational tools empowers brands to fine-tune campaigns across key touchpoints—from simplified Chinese ad sets on WeChat to high-impact OOH installations at West Kowloon Station.

Understanding the behavioral and aesthetic preferences of newcomers, students, tourists, and long-term residents allows computational art to function as both a content engine and a feedback loop.

With SL’s strength in performance media, SEO, and social ecosystems, brands can launch culturally relevant, algorithmically enhanced campaigns—driven by AI insights—that convert engagement into ongoing conversations and sharper strategies.

Beyond Media Global (SL) brings this vision to life through our performance-driven, tech-integrated approach. As a digital performance agency, SL excels in crafting multi-platform activations, dynamic content, and hyper-local campaigns that resonate with diverse audiences. By blending computational art with agentic AI and precision targeting, we help brands rapidly prototype and test creative concepts—from Shopify-integrated user journeys to immersive Connected TV experiences.

Understanding these differences is crucial for businesses, especially banks, aiming to effectively serve this demographic. From our experience, the mainland Chinese population in Hong Kong can be broadly categorized into several groups: newcomers, students, high-talent individuals, mainland tourists, and long-term residents. 

Newcomers are individuals who have recently moved to Hong Kong to reunite with their families. These individuals typically do not possess significant buying or decision-making power, as their family members in Hong Kong usually handle financial matters for them. Therefore, banks may not find this group to be a primary target for their services.

Students, on the other hand, represent a valuable target group. For instance, at PolyU, there is a Hang Seng branch on campus, and many students sign up for accounts due to promotional offers like coupons. The consistent lines at bank promotions on campus highlight the potential of targeting students with tailored financial products and incentives.

High-Talent and Exceptional Talent (高才，優才) individuals are another crucial segment. These individuals are likely to have substantial financial resources and should be a primary focus for banks. Offering premium banking services and personalized financial advice can attract and retain this affluent group.

Mainland tourists visiting Hong Kong to open bank accounts form another important category. These tourists often seek to open accounts to purchase American financial products. Banks can cater to this group by simplifying the account opening process and offering products that meet their specific needs.

Long-term residents (ones with HKID) who have been in Hong Kong for several years are likely to have established relationships with their preferred banks. While they can be treated as locals, banks should still consider offering competitive products and services to retain their loyalty.

A common perception among mainlanders is that Hong Kong is an expensive city. Therefore, from a banking perspective, the best strategy to attract mainland customers is to offer competitive pricing and incentives that help them save money. Additionally, the convenience of cross-border money transfers is a significant factor for this demographic.

From a media perspective, mainlanders prefer content in simplified Chinese. To effectively reach and grow this audience, banks should leverage mainland social media platforms. Partnering with local subscription accounts on WeChat, such as 港漂圈, can be highly effective. Additionally, out-of-home (OOH) advertising units at key locations like West Kowloon Station, Austin Station, and Kowloon Station should be considered. Collaborating with mainland student associations and focusing on ad spots at locations frequently visited by mainlanders can further enhance visibility. Utilizing platforms like XHS to target searches for 香港銀行開戶 or 恆生銀行開戶 can also drive engagement. 

From our perspective, it is important to understand the diverse segments of the mainland Chinese population in Hong Kong and tailor media and product strategies to meet their specific needs. This will help banks significantly enhance customer acquisition and retention. By offering competitive pricing, convenient services, and targeted media strategies, banks can effectively serve this important demographic.

Contact us to learn more about our insights.

While there’s plenty of debate about the best way to scale results on Google, we’ve discovered that sustainable, high Google Ads growth comes from combining coding with a sound, tiered cross-channel structure. Yes, it’s a throwback to the days when being a tech-savvy marketer was key to driving success in growth marketing. And yes, that’s exactly what we do. 

What Are Google Ads Scripts?

Google Ads Scripts provide a way to programmatically control your Google Ads campaigns using simple JavaScript. These scripts allow you to automate routine tasks and interact with external data and systems.

Read more here: Google Ads Scripts Documentation

Through automated yet controllable optimizations, scripts can automate tasks like bid adjustments, advanced exclusions management, and performance monitoring, yielding better control over campaigns and moving away from a set and see approach (or if you hate being a robot) 

What’s Needed:

• Basic JavaScript: An entry-level understanding of JavaScript.

• Logic, Creativity, and AI: Combine brains, creativity, and the latest AI tools.

• Tech-Savvy Support: Consider a tech-based service provider with proven expertise. (Research their team on LinkedIn and Github to confirm their creds.)

Practical Applications for PMAX

One of the challenges with PMAX is that its automation can lead to irrelevant ad placements or audience overlaps (and weird ad text) . For example, in some of our campaigns, ads repeatedly appeared on unrelated blogs, political sites, or even the Daily Mail—right in the middle of Black Friday, which also happened to be an election year.

By using Google Ads Scripts, you can refine exclusions dynamically, ensuring your ads align better with your broader growth plan. This level of control can prevent wasted spend and improve the overall effectiveness of your PMAX campaigns. 

We’ve decided to give some scripts away. Here are some actionable scripts: Dynamically manage exclusions, optimize audience layering, and rebalance budgets—all without endless manual adjustments. We then take this endless flow of data and re-add placements using Pytorch to actually build intelligence.

Exclude Low-Performing Placements:

(After you get this, you need to add it here : Tools > Content Suitability > Advanced Settings under your Google Ads Account)

function main() {

  var placementThreshold = 100; // Minimum impressions for evaluation

  var performanceCutoff = 0.05; // CTR threshold for exclusion

  var report = AdsApp.report(

    "SELECT CampaignName, Placement, Impressions, Clicks " +

    "FROM PLACEMENT_PERFORMANCE_REPORT " +

    "WHERE CampaignName CONTAINS 'PMAX' AND Impressions > " + placementThreshold

  );

  var rows = report.rows();

  while (rows.hasNext()) {

    var row = rows.next();

    var ctr = row['Clicks'] / row['Impressions'];

    if (ctr < performanceCutoff) {

      AdsApp.placements()

        .withCondition("Placement = '" + row['Placement'] + "'")

        .exclude();

      Logger.log('Excluded low-performing placement: ' + row['Placement']);

    }

  }

}

Audience Layering Adjustments

This will tell you what audiences overlap and which audiences perform. Probably a good idea to bid higher and or restructure accordingly. 

function main() {

  var audienceThreshold = 50; // Minimum conversions for evaluation

  var performanceCutoff = 1.5; // Cost-per-conversion threshold for exclusion

  var roasThreshold = 3.0; // ROAS threshold for high-performing audiences

  var audienceData = {}; // Object to store audience data for overlap detection

  var overlapThreshold = 1; // Number of campaigns an audience should appear in to be considered an overlap

  // Report to gather audience performance data across campaigns

  var report = AdsApp.report(

    "SELECT AudienceName, Conversions, CostPerConversion, ConversionValue, CampaignName " +

    "FROM AUDIENCE_PERFORMANCE_REPORT " +

    "WHERE Conversions > " + audienceThreshold

  );

  var rows = report.rows();

  while (rows.hasNext()) {

    var row = rows.next();

    var audienceName = row['AudienceName'];

    var campaignName = row['CampaignName'];

    var costPerConversion = parseFloat(row['CostPerConversion']);

    var conversionValue = parseFloat(row['ConversionValue']);

    var roas = conversionValue / costPerConversion;  // Calculate ROAS (Return on Ad Spend)

    // Initialize audience data structure if not already initialized

    if (!audienceData[audienceName]) {

      audienceData[audienceName] = {

        appearances: 0,

        campaigns: [],

        costPerConversion: costPerConversion,

        roas: roas

      };

    }

    // Increment the number of appearances of this audience in campaigns

    audienceData[audienceName].appearances++;

    audienceData[audienceName].campaigns.push(campaignName);

    // Log audience performance

    Logger.log('Audience: ' + audienceName + ' | Campaign: ' + campaignName + ' | ROAS: ' + roas + ' | Cost/Conversion: ' + costPerConversion);

    // Exclude high-cost audiences

    if (costPerConversion > performanceCutoff) {

      AdsApp.targeting().audiences()

        .withCondition("AudienceName = '" + audienceName + "'")

        .exclude();

      Logger.log('Excluded high-cost audience: ' + audienceName);

    }

    // Identify high-performing audiences with a high ROAS

    if (roas >= roasThreshold) {

      Logger.log('High-Value Audience (ROAS > ' + roasThreshold + '): ' + audienceName);

  

    }

  }

  // Check for audience overlaps

  for (var audience in audienceData) {

    if (audienceData[audience].appearances > overlapThreshold) {

      Logger.log('Audience ' + audience + ' overlaps in ' + audienceData[audience].appearances + ' campaigns: ' + audienceData[audience].campaigns.join(", "));

         }

  }

}

Budget Rebalancing for Asset Groups

Budgets should not be linear.

function main() {

  var report = AdsApp.report(

    "SELECT AssetGroupName, Cost, Conversions, ConversionValue " +

    "FROM ASSET_GROUP_PERFORMANCE_REPORT " +

    "WHERE CampaignName CONTAINS 'PMAX'"

  );

  var rows = report.rows();

  var totalBudget = SLBUDGET; 

  var assetGroupData = [];

  while (rows.hasNext()) {

    var row = rows.next();

    var roas = parseFloat(row['ConversionValue']) / parseFloat(row['Cost']);

    assetGroupData.push({

      name: row['AssetGroupName'],

      roas: roas,

      cost: parseFloat(row['Cost'])

    });

  }

  var totalROAS = assetGroupData.reduce((sum, ag) => sum + ag.roas, 0);

  assetGroupData.forEach(function (ag) {

    var adjustedBudget = (ag.roas / totalROAS) * totalBudget;

    AdsApp.campaigns()

      .withCondition("AssetGroupName = '" + ag.name + "'")

      .get()

      .next()

      .setBudget(adjustedBudget);

    Logger.log('Updated budget for asset group: ' + ag.name + ' to ' + adjustedBudget.toFixed(2));

  });

}

Cool, huh? Then what?

You can parse the script outputs into a CSV or directly connect the Google Ads API to fetch campaign performance data. Using Python, this data can be analyzed and modeled for intelligent optimizations. 

Below is an example workflow: Assuming we’ve exported CSV files from Google Ads scripts.

import pandas as bmgpd  

import requests  

# Load CSV files

placements_df = bmgpd.read_csv("placements_performance.csv")

audiences_df = bmgpd.read_csv("audiences_performance.csv")

asset_groups_df = bmgpd.read_csv("asset_groups_performance.csv")

# Merge datasets for holistic analysis

merged_df = bmgpd.merge(placements_df, audiences_df, on="CampaignName", how="inner")

merged_df = bmgpd.merge(merged_df, asset_groups_df, on="CampaignName", how="inner")

# Example: Filter low-performing placements based on CTR threshold

performance_threshold = 0.05  # Define the CTR threshold

filtered_df = merged_df[merged_df['CTR'] >= performance_threshold]  # Filter placements based on CTR

# Identify high-cost audiences

high_cost_audiences = audiences_df[audiences_df['CostPerConversion'] > 1.5]

api_url = "https://pable.ai/"  

# Convert high-cost audiences to JSON (or any required format by your application)

data_to_push = high_cost_audiences.to_json(orient='records')

# Push the data to the application via a POST request

response = requests.post(api_url, json=data_to_push)

# Check if the request was successful

if response.status_code == 200:

    print("Data successfully pushed to the application!")

else:

    print(f"Failed to push data. Status code: {response.status_code}")

Build a Neural Network for Optimization

With PyTorch, let's create a custom neural network that learns from past trends and makes real-time, data-driven predictions

import torch

import torch.nn as nn

import torch.optim as optim

from sklearn.preprocessing import MinMaxScaler

from sklearn.model_selection import train_test_split

import numpy as np

# Prepare data for training

features = merged_df[['Impressions', 'Clicks', 'Conversions', 'Cost']].values

labels = merged_df['ROAS'].values

# Normalize data

scaler = MinMaxScaler()

features = scaler.fit_transform(features)

# Train/Test split

X_train, X_test, y_train, y_test = train_test_split(features, labels, test_size=0.2, random_state=42)

# Convert data to PyTorch tensors

X_train = torch.tensor(X_train, dtype=torch.float32)

X_test = torch.tensor(X_test, dtype=torch.float32)

y_train = torch.tensor(y_train, dtype=torch.float32).view(-1, 1)

y_test = torch.tensor(y_test, dtype=torch.float32).view(-1, 1)

# Define the neural network model

class ROASModel(nn.Module):

    def __init__(self):

        super(ROASModel, self).__init__()

        self.fc1 = nn.Linear(X_train.shape[1], 64)

        self.fc2 = nn.Linear(64, 32)

        self.fc3 = nn.Linear(32, 1)

        self.relu = nn.ReLU()

    def forward(self, x):

        x = self.relu(self.fc1(x))

        x = self.relu(self.fc2(x))

        x = self.fc3(x)

        return x

model = ROASModel()

# Define loss function and optimizer

criterion = nn.MSELoss()

optimizer = optim.Adam(model.parameters(), lr=0.001)

# Train the model

epochs = 50

batch_size = 16

n_batches = int(np.ceil(X_train.shape[0] / batch_size))

for epoch in range(epochs):

    model.train()

    epoch_loss = 0

    for batch in range(n_batches):

        start_idx = batch * batch_size

        end_idx = min((batch + 1) * batch_size, X_train.shape[0])

      

        batch_X = X_train[start_idx:end_idx]

        batch_y = y_train[start_idx:end_idx]

        

        optimizer.zero_grad()

        outputs = model(batch_X)

        loss = criterion(outputs, batch_y)

        loss.backward()

        optimizer.step()

        epoch_loss += loss.item()

    

    print(f"Epoch {epoch+1}/{epochs}, Loss: {epoch_loss/n_batches}")

# Predict on test data

model.eval()

with torch.no_grad():

    predictions = model(X_test)

print("Predicted ROAS Adjustments:")

print(predictions.numpy())

With the model in place —what now?

So, what do we do with all this data and intelligence? 

• Adjust the budget? Hope not!

• Do we just keep pausing placements and reading reports? 

• Should we jump into TensorFlow? But is our TensorFlow even... right?

Maybe we’re all just stuck thinking Pandas = Panda.

What if we could dynamically bring back those previously excluded placements that might actually work in the future? Like those political YouTube channels—who knows, they could surprise us and drive results! 

Or could we actually build a custom model? 

Want to explore this further? Contact us and let’s dive deeper into the possibilities!

So how do we do it?

Setting Up Your Digital Storefront

To capitalize on this trend, marketers should first focus on setting up a shoppable environment. This involves linking YouTube videos to your Google Merchant Feed and incorporating product feeds into your video campaigns. By doing so, viewers can purchase products directly from the videos they watch. This seamless integration transforms passive viewership into active shopping, driving higher engagement and sales.

Transforming Ads into Virtual Storefronts

Next, marketers can use Demand Gen campaigns with product feeds to enhance this approach. By turning ads across YouTube and Google's most visual surfaces into virtual storefronts, brands can significantly increase their visibility. This strategy not only helps more people discover your products but also guides them towards the point of sale more effectively. The visual appeal of these ads captures attention and encourages viewers to make a purchase, blending advertising with shopping in an intuitive way.

Partnering with Creators for Authentic Engagement

An essential aspect of a successful shoppable video strategy is partnering with creators. Creators bring authentic voices and established audiences, making their endorsements more credible. By collaborating with creators on partnership ads, brands can engage users in a more relatable and convincing manner. Moreover, these ads can be made shoppable by adding product feeds, making the purchase process just a click away. This fusion of creator content and shoppable features enhances user experience and drives higher conversion rates.

Leveraging Our Agency Expertise

Beyond Media Global, a leading global independent agency, can assist brands in navigating the complexities of shoppable video. With extensive experience and a proven track record, our team is well-equipped to help you set up your digital storefront, optimize your advertising campaigns, and partner effectively with creators. Our expertise ensures that your marketing efforts are strategic, impactful, and yield the best results possible.

Benefits of Shoppable Video for Long-Term Brand Loyalty

Adopting shoppable video not only boosts immediate sales but also contributes to long-term brand loyalty. Engaging and interactive shopping experiences resonate more deeply with consumers, fostering a stronger connection with the brand. As viewers enjoy the convenience and seamlessness of shoppable videos, their likelihood of returning for future purchases increases. This ongoing engagement helps build a loyal customer base, essential for sustained business growth.

Strategic Implementation for Maximum Impact

To maximize the impact of shoppable videos, a strategic approach is essential. This involves meticulous planning and execution, from the creation of compelling video content to the integration of product feeds and the collaboration with creators. Marketers should continuously analyze performance data to refine their strategies and optimize their campaigns for better results. By staying attuned to consumer preferences and industry trends, brands can maintain a competitive edge and achieve their marketing goals.

Future Prospects and Innovations

Looking ahead, the future of shoppable video is promising, with continuous innovations expected in technology and user experience. Advanced features like augmented reality (AR) and virtual reality (VR) may further enhance the shopping experience, making it even more immersive and interactive. Brands that embrace these advancements and adapt to evolving consumer behaviors will be well-positioned to capitalize on the growing trend of social commerce.

Next Steps

In conclusion, the rise of shoppable video represents a significant opportunity for brands to enhance their marketing strategies. By setting up shoppable environments, transforming ads into virtual storefronts, partnering with creators, and adopting a strategic approach, marketers can create engaging and effective shopping experiences. These efforts not only drive immediate sales but also build long-term brand loyalty, positioning businesses for continued success in the dynamic landscape of social commerce. We at SL stand ready to support your journey and ensure your brand thrives in this evolving market.

Brand collaboration is a strategic partnership between two or more brands to create joint projects, campaigns, or products. By leveraging each other’s strengths and resources, brands can achieve shared goals, such as expanding their market presence, increasing visibility, and fostering innovation. 

At SL, we’ve worked with many emerging brands, especially those facing fierce competition, and we believe that collaborating with established partners can provide the necessary support to thrive. Further, with our background in Performance, we see that this is the best way to utilize Meta Ads to significantly amplify the impact of such collaborations, allowing brands to reach wider audiences and drive more engagement.

Types of Collaborations

There are various ways brands can collaborate. One common approach is to develop joint products that blend their unique strengths. For instance, a clothing brand might partner with a technology company to create innovative wearable items. Alternatively, brands can engage in joint marketing campaigns, pooling their resources to amplify their reach. This could include running social media contests or co-hosting events, which generate buzz and engage a wider audience.

On the Activation side, Meta Ads play a crucial role in these types of collaborations by offering tools to create targeted advertising campaigns. Brands can co-create Dynamic Creative Ads on Meta’s platforms, showcasing a variety of visuals, product features, and stories from both partners, effectively testing what resonates with a combined audience. This flexibility allows for effective cross-promotion and broader reach.

Sponsorships also play a significant role in brand collaborations. By financially supporting another brand’s event or initiative, a company can gain exposure while aligning with shared values. Additionally, co-branding partnerships allow brands to create products that offer unique value propositions, enhancing their appeal in the marketplace. Content collaborations with influencers or media outlets can yield engaging material that resonates with consumers, further driving brand loyalty and awareness. Meta Ads can further extend the impact of these initiatives by delivering highly targeted and visually compelling ads to aligned audiences, ensuring the collaboration is seen by the right people.

The Benefits of Collaboration

One of the most significant benefits is audience expansion. By partnering with another brand, companies can access each other’s customer bases, increasing visibility and attracting new customers who might not have been reachable otherwise. This sharing of audiences can be transformative for brands looking to grow. Meta’s advertising platforms offer precise audience targeting, allowing brands to merge their data and create custom audiences that maximize visibility.

Associating with reputable partners enhances a brand's credibility, reinforcing positive perceptions and fostering loyalty among consumers. Moreover, partnerships often spark innovation. When brands with different expertise come together, they can create unique products or campaigns that stand out in the market, driving customer interest and engagement. Meta Ads enable brands to tell these collaborative stories with tailored messaging that appeals to their combined follower base.

Another advantage of collaboration is cost reduction. By sharing resources and marketing expenses, brands can achieve their objectives more efficiently. This is particularly beneficial for startups or smaller companies with limited budgets, allowing them to compete more effectively in their respective markets. Meta Ads' options for shared ad costs and budgeting tools make it easy for brands to manage collaborative campaigns affordably.

Steps to Successful Collaborations

At SL, to maximize the potential of brand collaborations, we begin by defining clear goals for our clients, and find partners whose values and target audiences align, promoting authenticity in the collaboration. In addition, when we plan the media, we launch an engaging campaign, create anticipation, and draw in new and existing audiences across. We use Meta’s Creative Hub to collaborate on ad design and messaging, ensuring the campaign represents both brands accurately. Lastly, ongoing monitoring and adjustment are necessary for success. By tracking the performance of the collaboration and analyzing feedback using Meta's analytics tools, SL assists brands to make informed decisions to enhance outcomes and ensure that the partnership continues to meet its objectives.

Conclusion

At Beyond Media Global, we specialize in helping brands navigate the intricacies of collaboration, creating innovative products and compelling narratives that drive engagement and growth. By leveraging the strengths of partnerships and the reach of Meta Ads, businesses can unlock new opportunities and achieve lasting success in an ever-evolving marketplace. Find out more today. 

Marketing attribution is a crucial process that evaluates and tracks the performance of various marketing channels. By understanding the interactions and touchpoints customers have with your brand on their journey to conversion, marketing attribution allows you to assign credit to the channels and campaigns that contribute most effectively to your business goals.

This insight is key to driving high-performance campaigns, as it informs where to allocate resources for maximum impact, ensuring your marketing efforts are both efficient and effective.

Why Marketing Attribution is Becoming More Complex

In a world where consumers use multiple devices and privacy regulations are tightening, accurately tracking marketing touchpoints has become increasingly challenging. Each device—from smartphones to tablets—might appear as a separate visitor, making it difficult to create a unified view of the customer journey. Additionally, stricter privacy laws mean that consumers have more control over whether they allow tracking, further complicating the attribution process.

Most traditional attribution models are based on clicks, which can overlook the impact of non-click interactions like ad views. This complexity makes it essential for marketers to adopt more sophisticated attribution strategies to understand how different channels contribute to conversions.

Building a Strong Foundation for Attribution

While no attribution model can perfectly capture every customer interaction, the goal is to get as close as possible. To do this, you need:

1. Accurate Tracking: Set up conversion tracking pixels (e.g., Meta Pixel, Google Ads conversion tracking) and establish goals/events in Google Analytics to monitor your campaigns.

2. Consistent UTM Tagging: Implement a standardized UTM tagging system to ensure clean and complete data about customer journeys. This helps you accurately assess which marketing efforts are driving results.

3. Understanding Attribution Models: Familiarize yourself with different attribution models and their impact on your marketing decisions to choose the one that best aligns with your business objectives.

The Role of UTM Parameters in Attribution

UTM parameters are essential for tracking incoming traffic and grouping it for analysis. By tagging your URLs with UTM parameters, you can gain granular insights into which campaigns, sources, and mediums are performing best. This detailed tracking allows you to refine your strategies and drive higher performance across your campaigns.

Selecting the Right Attribution Model for Your Campaigns

Choosing the right attribution model is critical for optimizing campaign performance. Whether you prefer single-touch models like last-click or multi-touch models like linear attribution, each offers unique insights that can guide your marketing strategy. Advanced options, such as algorithmic attribution, use machine learning to assign credit based on the most impactful touchpoints.

Attribution Across Different Platforms

Different platforms like Google Ads, Facebook Ads, and Google Analytics each have their own methods of attribution, which can lead to discrepancies. Understanding how each platform attributes conversions will help you make more informed decisions about where to invest your marketing dollars.

Shopify's Attribution Models and Their Importance

As a Shopify Partner, we have been applying Shopify attribution models within its Channel Performance report to help our clients understand the customer journey and optimize campaigns. We primarily look at Conversion by last click, Conversion by last non-direct click, and Conversion by first click. Each of these models provides different insights:

• Last Click Attribution: This model assigns 100% of the conversion credit to the last-clicked ad or touchpoint before the purchase. It’s particularly useful for understanding which channels and campaigns are directly driving conversions. However, it may undervalue earlier touchpoints that contributed to the buyer's decision.

• First Click Attribution: In this model, 100% of the credit goes to the first touchpoint that brought the customer into the funnel. This is valuable for identifying the initial channels that successfully capture new audiences. However, it may overlook the importance of subsequent interactions that also influenced the conversion.

• Last Non-Direct Click Attribution: This model gives credit to the last non-direct touchpoint before the conversion, filtering out direct traffic that typically comes from customers who have already decided to purchase. This approach helps you focus on the marketing activities that genuinely drove the final conversion, providing a more nuanced view than last-click attribution.

Choosing the Right Attribution Model in Shopify

Choosing the right attribution model in Shopify is crucial for several reasons:

• Resource Allocation: By understanding which touchpoints are most influential, you can allocate your marketing budget more effectively, investing in channels that truly drive results.

• Strategic Insights: Different models offer different perspectives on the customer journey, allowing you to tailor your strategy based on your business goals. For example, first-click attribution can help with brand awareness campaigns, while last-click attribution is better for conversion-focused efforts.

• Holistic Understanding: Using a combination of these models can give you a more comprehensive view of how your marketing efforts work together, ensuring no touchpoint is undervalued or overlooked.

Driving Business Growth with Informed Marketing Decisions

By mastering marketing attribution, you can make smarter, data-driven decisions that optimize your campaigns for higher performance. Even as the landscape becomes more complex, the ability to understand and act on attribution data is key to maximizing the return on your marketing investments.

Learn more by contacting SL today.

Partnering with influencers enables brands to capitalize on this trust and build more profound relationships with their target audiences. By utilizing the credibility and extensive reach of influencers, brands can promote their products and services in a manner that feels more authentic and resonates deeply with consumers. This approach not only enhances brand authenticity but also provides a cost-effective alternative to traditional advertising, creating a sense of community and shared experience around the brand.

At Beyond Media Global, we specialize in guiding brands through the intricacies of influencer marketing with expertise and precision. We leverage advanced AI platforms to identify influencers who align with your brand’s values and target audience. Our digital matchmaking system, akin to a dating app, presents a curated list of creators who meet your parameters and are eager to collaborate. Brands have the opportunity to review and select influencers based on the best fit for their campaign goals.

Our services extend beyond identification to include comprehensive management and negotiation. We handle the complexities of influencer partnerships, negotiating incentives and ensuring influencers fulfill their commitments, whether at events or in-store promotions. By harnessing our extensive network and industry insights, Beyond Media Global ensures that your influencer marketing efforts are both strategic and effective, driving engagement and delivering measurable results.

Influencer marketing continues to reshape the digital landscape, with varying degrees of trust and effectiveness across different platforms and demographics. For instance, 50% of Millennials trust product recommendations from influencers, compared to only 38% who trust endorsements from celebrities. This growing trust in influencers is further supported by the fact that 92% of marketers consider influencer marketing to be highly effective. Among Gen Z, 33% have made purchases based on influencer recommendations in the past three months, illustrating the significant impact of digital personalities.

The effectiveness of influencer marketing also differs between micro and macro-influencers. Micro-influencers, with their smaller yet highly engaged followings, generate up to 60% more engagement compared to macro-influencers. Additionally, 44% of marketers find micro-influencers to be more cost-effective, leading to 56% of marketers focusing their efforts on this group.

Instagram remains the leading platform for influencer marketing in the United States, with 72% of marketers utilizing it for campaigns and a 4.1% increase projected for 2023. Lifestyle and beauty were the top categories for global influencers, and 86% of U.S. marketers incorporated shoppability features into their Instagram campaigns.

TikTok is also a significant player, with 45% of marketers using it for influencer campaigns. On TikTok, macro-influencers (with 100,000 to 1 million followers) average 38,517 views per video, showcasing the platform’s wide reach and engagement potential.

YouTube continues to be a key venue for influencer marketing, with 28% of U.S. consumers following at least one virtual influencer. The most popular categories on YouTube include dance, music, and gaming. YouTube micro-influencers (with 100,000 to 1 million followers) achieve the highest engagement rates on the platform.

For more information on how Beyond Media Global can enhance your influencer marketing strategy, please contact us to see real references of our success. That is the SL way.

As a consumer, have you ever clicked on a sponsored listing on Amazon, only to find that the product—like a lightbulb—has a high return rate? While not everyone is as particular about their lightbulbs, that information is clearly displayed on the Amazon Product Page. Perhaps that advertiser shouldn't have run that sponsored ad. It’s just a waste.

From our experience, using a wide variety of channels is essential to reaching diverse audiences and achieving the best return on your ad spend (ROAS) across all channels. Running campaigns in isolation, as in the example above, doesn’t work effectively.

Advanced analytics platforms are starting to tackle these challenges with probabilistic models. For example, if someone sees a product ad on their phone and then purchases that product in a store shortly afterward, the technology can confidently attribute that sale back to the ad, even without a direct match.

We’ve found that one way to bridge this gap is by using predictive models to estimate the last mile. Additionally, with a Generative AI learning model, we can estimate potential sales by analyzing historical trends, seasonality, and other factors. We use this data to fine-tune ads and offers to achieve sales targets.

As retail media continues to evolve, staying ahead with innovative technology and strategies is crucial. By leveraging advanced attribution models and AI insights, brands can better understand consumer behavior and tailor their marketing efforts for maximum impact. This approach not only boosts sales performance but also strengthens your connection with customers in a competitive marketplace.

At Beyond Media Global, we work closely with your brand to connect with customers and prospects across multiple marketplaces and retail media networks. We integrate this approach with platforms like Meta, Google, and Microsoft to provide a transparent view across all channels

At the heart of Reddit's success lies its use of AI algorithms. These algorithms serve multiple critical functions within the platform, starting with the crucial role of content moderation and community management. By leveraging AI, Reddit ensures that interactions remain authentic and constructive, effectively policing spam and enforcing community guidelines to maintain the platform's integrity.

It Takes a Village (or Online Community) to Build an AI 

Moreover, AI plays a pivotal role in enhancing user engagement through personalized experiences. By analyzing vast amounts of data—from user behavior to preferences and interests—AI tailors content recommendations, thereby maximizing user satisfaction. This personalized approach not only keeps users actively engaged but also enriches their overall browsing experience.

From an advertising perspective, AI on Reddit is a game-changer. By harnessing user data such as browsing history, subreddit subscriptions, and engagement patterns, AI enables precise ad targeting. This capability ensures that advertisements resonate with individual users, significantly increasing the likelihood of conversions for advertisers. This targeted approach is further complemented by a diverse range of ad formats—from traditional text and image ads to more interactive options like video and carousel ads—providing businesses with versatile tools to engage Reddit's diverse user base effectively.

Reddit's unique community-driven environment also fuels AI's continuous evolution. User actions such as upvotes, downvotes, comments, and discussions serve as invaluable feedback that AI algorithms analyze to prioritize popular and relevant content. This iterative process not only refines content recommendations but also informs ad placements, ensuring that advertisements seamlessly integrate into the user experience without feeling intrusive.

User Experience… or Ad Revenue

The future of AI on Reddit appears promising. Ongoing advancements in AI technology promise to further refine ad targeting capabilities and enhance user interactions. However, as Reddit continues to innovate, it must navigate the delicate balance between user experience and advertising revenue. The fact of the matter is that Reddit users are quite vocal, innovative and able to pressure the platform to desist any sort of data collection in future if they grow to be uncomfortable with this model. This AI model looks to be the ultimate group project which can induce amazing results but also amazing levels of tension amongst participants. Maintaining transparency and respecting user privacy will be paramount in fostering continued trust and engagement among its diverse community.

In conclusion, Reddit's strategic integration of AI technologies underscores its commitment to delivering personalized and engaging experiences for users while offering robust advertising solutions for businesses. By harnessing the power of AI, Reddit not only adapts to evolving user preferences but also sets a precedent for how social media platforms can effectively marry user-centricity with commercial viability in the digital age.

Redefining SEO Strategy with Precision and Efficiency

For example, consider a forward-thinking e-commerce retailer harnessing Generative AI to quantify the impact of their SEO efforts with data-driven precision. This retailer can use Generative AI to create data-backed, keyword-rich product descriptions and optimize visual content for maximum engagement, as well as leverage AI-driven insights to enhance every aspect of their online presence to maximize digital ROI. To go beyond traditional methodologies, Generative AI emerges as a catalyst for transformative change. Through its capabilities, businesses can circumnavigate the limitations of manual SEO tracking and analysis, unlocking a world of untapped potential in the digital sphere.

Bridging the Gap: AI and Human Creativity

What is even more exciting is that no one person uses and interacts with Generative AI in the same way, which could lead to a myriad of different outputs that are tailored to specific human styles and yields different ways of approaching typical SEO problems. It's crucial to recognize the human element in creativity. Generative AI doesn't replace human creativity; instead, it amplifies it. By automating repetitive tasks, AI liberates human creatives to focus on strategic endeavors, fostering a symbiotic relationship where people, ideas, and science drive performance. This collaboration is not only exciting but also essential in navigating the complexities of AI integration.

Driving SEO Performance through Precision

For example, consider a company optimizing its website for search engine visibility. Through Generative AI, they can craft tailored content and imagery that resonate with specific and even niche audience segments. Moreover, generative AI can recommend strategic backlinks and new keywords, significantly elevating their search engine rankings and overall SEO performance. With Generative AI, SEO performance can move faster and more in line with current keyword trends across multiple languages and even through cultural subtext. 

Ethical Considerations in the Age of Generative AI

Humans are not only cool, and not only creative, but they ultimately have a moral compass that can determine when an AI should and should not make certain decisions to maintain ethical usage of this very important technology. As Generative AI continues to evolve, ethical considerations become paramount. It's essential to uphold standards that safeguard against keywords or trends that reflect fake news and or data used that interferes with legally protected rights to privacy. Responsible usage ensures the integrity of our digital ecosystem, maintaining trust and ethical boundaries in AI applications. That is, AI won’t always know when it’s being fed faulty or deliberately misleading data. Only humans can determine this. 

Future Outlook: Generative AI as a Catalyst for Innovation

Looking ahead, Generative AI promises to play a pivotal role in shaping the future of SEO and digital marketing. It represents a paradigm shift in how businesses approach SEO, offering a potent blend of precision and potential. By embracing AI and leveraging its capabilities, businesses can chart a course towards digital excellence, fostering continuous innovation and growth in their marketing strategies.

The Evolution of Global Supply Chains: Taiwan's Time Has Arrived

Picture this: trade tensions are heating up faster than your smartphone after a day at the beach. But amidst the chaos and tension, Taiwan’s stability and knack for performing under pressure has held fast. With infrastructure as solid as their high-tech gadgets and a knack for innovation (some would say that Taiwan houses some of the greatest innovative minds in the world which shows through their famously delicious food), Taiwan companies are the diamonds in the rough of the global electronics market. Taiwan hasn’t seen an opportunity like this in the last thirty years since accession to the WTO in 1995. The stage is set, the spotlight's on, and it's Taiwan's time to seize this moment by increasing their ad spend for exports to major markets that desperately want/need them.

Consumer Demand for Affordable Technology: Enter Taiwan

Attention, savvy shoppers of the world! We know you love a good deal, and Taiwan's got the goods. With the US tightening its grip on tariffs and the cost of living soaring, Taiwan's affordable tech is the answer to your prayers. Say goodbye to overpriced gadgets and hello to quality without breaking the bank!

Marketing Abroad: Taiwan's Ticket to the Top of the Supply Food Chain

So say it loud, Taiwan! If you want to take advantage of this opening in the market, you gotta shout it! It's time to take your marketing game to the next level. Picture this: billboards in Times Square, global influencers raving about your products, and ads popping up on every screen from LA to New York. If you are good at what you do, now is not the time to be humble - aggressively let the key markets know that you have ARRIVED and your products are the MOMENT. (You are the island that gave the world bubble tea and almost all our semiconductors and you can do much more, no need to be bashful about it.)  Say it loud and proud with the right ad partners to help you expand abroad and then reap the rewards

IN CONCLUSION: TAIWAN, IT'S YOUR TIME: SEIZE. THE. MOMENT.

Taiwan's on the brink of something big, something game-changing. With strategic marketing, Taiwan companies are poised to take the world by storm. The future's bright, the opportunities are endless, and Taiwan, well, Taiwan's ready to take its place in the global spotlight. Let's do this! 🚀

Your audience has a purpose for interacting with your brand that goes beyond just conversions and your ROIs. Brands that regularly express gratitude demonstrate that they care about more than just profit generally tend to weather crises and capitalize on opportunity better in the long run. There are plenty of audiences that buy a product not because they want to or feel good about buying it, but because they have to and cannot wait to find an alternative. Customer gratitude preempts this attrition. Gratitude stands as a fundamental aspect of both human existence and marketing (in that order); brand messaging loses efficacy in its absence. The challenge is clear – build trust through gratitude or your brand’s days are numbered.

Here’s how you can create a long-term branding solution through simple acts of gratitude:

1. SAY IT. Saying it explicitly is definitely one of the best ways to foster a sense of connection between a brand and its audience. When a brand expresses gratitude, it acknowledges the support, loyalty, or contributions of its customers, employees, or partners. This can lead to stronger relationships that are built on trust and appreciation.

2. LIKE A BIG MENTAL HUG: When a brand incorporates gratitude into its messaging, it associates itself with positive emotions and experiences in the minds of consumers. The consumers feel good about themselves and good about your company, which creates an invaluable relationship.

3. BE GENUINE, MAKE YOUR BRAND UNIQUE: In a crowded marketplace where many brands offer similar products or services, expressing gratitude can help a brand stand out. It adds a human touch to the brand's communication, distinguishing it from competitors and undoubtedly influencing consumer preference.

4. THEY HEAR IT THROUGH THE GRAPEVINE: When customers feel appreciated by a brand, they are more likely to remain loyal and become advocates. Gratitude can strengthen customer loyalty by making individuals feel valued and recognized for their support. Satisfied customers who feel appreciated are also more likely to recommend the brand to others.

5. YOUR BRAND IS PART OF THE COMMUNITY: Brands that regularly express gratitude demonstrate that they care about more than just profit, they care about people. This can help cultivate a positive brand image and contribute to a brand's reputation as socially responsible and ethical.

Brand messaging transcends conventional marketing tactics and KPIs; it signifies a sustained dedication to customers. Consequently, customer appreciation emerges as the distinguishing factor for many brands during pivotal moments for companies worldwide.

At SL, we often hear SEO and SEM mentioned in the same breath, and we always take the time to explain the difference. Over the years, we’ve encountered so many interpretations of SEO that we decided to compile a comprehensive list for all the OG SEOers. We hope someone finds it useful and perhaps even invites us to discuss it on a podcast someday.

On-page SEO

On-page SEO is the ultimate OG: it involves optimizing individual web pages to rank higher and attract more relevant traffic from search engines. This includes optimizing content, HTML elements, and site architecture. Implementation involves using relevant keywords in titles, headers, meta descriptions, and throughout the content. For example, if you’re writing a blog about coffee, include keywords like “coffee recipes” and “authentic espresso.” Create valuable, informative, and engaging content that answers user queries, such as a detailed guide on making homemade coffee with step-by-step images. Additionally, link to other relevant pages on your site to enhance navigation and distribute link equity, like linking your homemade coffee guide to a page about brewing techniques.

Off-page SEO

Off-page SEO, another OG SEO technique, involves actions taken outside your website to impact your rankings in search engine results pages (SERPs), primarily through backlink building. Implementation includes acquiring high-quality backlinks from reputable websites, such as getting a food blog to link to your homemade coffee guide. Promote your content on social media platforms to increase visibility and generate backlinks by sharing your blog post on Facebook and Instagram. Write guest posts for other reputable blogs and include links back to your site, for instance, contributing an article about coffee to a popular food blog.

Technical SEO

Technical SEO is from the old days of HTML, but these days Cloudflare and other awesome tech can improve this. It focuses on optimizing your website for the crawling and indexing phase, helping search engines access, crawl, interpret, and index your site effectively. Implementation involves improving loading times by compressing images, leveraging browser caching, and minimizing JavaScript. Use tools like Google PageSpeed Insights to identify and fix speed issues. Ensure your site is mobile-friendly by using responsive design to adapt to different screen sizes and test your site on various devices to adjust the layout accordingly. Create and submit an XML sitemap to search engines to ensure they can find and index all your pages, generating a sitemap using tools like Yoast SEO and submitting it to Google Search Console.

Local SEO

Have you ever seen why a local store shows up first? Well, Local SEO, a semi-OG technique, focuses on optimizing a website to be found in local search results, crucial for businesses that serve specific geographical areas. Implementation includes creating and optimizing your Google My Business (GMB) profile with accurate information, images, and customer reviews. For example, a local coffee shop should include its address, phone number, hours, and menu on GMB. Ensure your business information is consistent across all local directories and platforms by listing your coffee shop on Yelp, TripAdvisor, and local business directories. Use local keywords in your content and meta tags, such as "best coffee in New York."

Mobile SEO

Back in the day, Mobile SEO wasn't as popular, but it has been for the last 10+ years. This ensures that your website provides a good user experience on mobile devices, involving responsive design, site speed, and mobile-friendly content. Implementation includes using responsive web design to ensure your site adjusts to different screen sizes and ensuring buttons and links are easily clickable on mobile devices. Implement Accelerated Mobile Pages (AMP) to improve mobile page load times, converting your blog posts to AMP format for faster loading. Ensure your content is easy to read on mobile devices by breaking up long blocks of text and using bullet points for readability.

Voice Search SEO

Did you ever call your mom on FaceTime and her Alexa picked up your Alexa command? Yeah, voice search matters, and voice search SEO focuses on optimizing your content to answer voice queries, which are often conversational and question-based. Implementation includes using natural language and long-tail keywords, such as "how to make the best homemade coffee" instead of "best coffee recipes." Create FAQ pages to answer common voice search queries, such as "What is the best way to brew coffee at home?" Additionally, optimize for local searches as many voice searches are location-specific, like "Where can I find the best coffee near me?"

E-commerce SEO

Ever notice that CPCs are expensive? Well, E-commerce SEO involves optimizing online stores to rank higher in search engine results. Implementation includes writing unique, keyword-rich product descriptions that describe a coffee maker's features and benefits in detail. Encourage customers to leave reviews, as these can improve rankings and provide fresh content, by sending follow-up emails requesting reviews after a purchase. Use schema markup for products to enhance search listings with rich snippets, adding product schema to display ratings, prices, and availability in search results.

International SEO

Not everyone speaks New Jerseyan: International SEO focuses on optimizing your website to rank in multiple countries and languages. Implementation includes using hreflang tags to indicate the language and geographical targeting of your pages, like hreflang="en-us" for English (United States) and hreflang="it-it" for Italian (Italy). Create content tailored to each target market, offering localized versions of your coffee recipes in different languages. Use country-specific top-level domains (ccTLDs) or subdirectories, like using .it for Italy or /it/ subdirectory for Italian content.

Video SEO

Did you ever look up that Tesla video and wonder why some things show up and others don’t? Video SEO involves optimizing videos to improve their search engine ranking and visibility. Implementation includes using relevant keywords in video titles, descriptions, and tags, like titling your video "How to Make Perfect Homemade Coffee." Provide transcriptions of your videos to improve searchability by including a text transcript of your coffee-making tutorial. Create and submit a video sitemap to search engines, including your video URLs in a sitemap to help search engines index them.

Image SEO

Did you ever look up that image of before and after implementing your conduit at Home Depot and wonder why some images show up but others don’t? Image SEO works for both Pinterest and Search among others, and it involves optimizing images to improve their visibility in search engines. Implementation includes using descriptive alt text for all images, such as "homemade espresso with fresh crema" for an image of a coffee. Use relevant keywords in image file names, like naming an image file "homemade-coffee-recipe.jpg" instead of "IMG1234.jpg." Compress images to reduce load times without sacrificing quality, using tools like TinyPNG to compress images.

Negative SEO

Negative SEO is as OG as the good old days of unethical practices aimed at decreasing a competitor's rankings. Although it is unethical and strongly discouraged, implementation includes creating spammy backlinks to a competitor's site, such as linking a competitor's site from link farms. It also involves copying and duplicating a competitor's content to create duplicate content issues, like reposting their blog posts across the web. Posting negative reviews about a competitor's business is another tactic, such as leaving false bad reviews on their Google My Business profile.

White Hat SEO

White hat SEO refers to ethical optimization techniques that follow search engine guidelines. Implementation includes creating valuable and relevant content for users, such as writing comprehensive guides and how-tos. Earn links through high-quality content and relationships by getting other food bloggers to link to your coffee recipes. Focus on improving the overall user experience, including site speed, mobile-friendliness, and easy navigation, by streamlining your website design for better usability.

Black Hat SEO

Black hat SEO involves unethical practices that violate search engine guidelines to achieve quick rankings. Although it is unethical and strongly discouraged, implementation includes overloading content with keywords, such as unnecessarily repeating "best coffee recipe" throughout a page. Showing different content to search engines and users, known as cloaking, is another tactic, like displaying keyword-rich content to search engines while showing regular content to users. Creating a network of websites solely to link to each other, known as link farms, involves setting up multiple low-quality sites to interlink.

Gray Hat SEO

Gray hat SEO involves tactics that are not explicitly against the rules but are still questionable. Implementation includes using sensational headlines to attract clicks, such as "This Coffee Recipe Will Change Your Life!" Creating content that offers little value but targets specific keywords, like a page with minimal content that is just enough to get indexed, is another tactic. Encouraging reviews in exchange for compensation without disclosing the incentive, such as offering discounts for positive reviews, is also a gray hat SEO practice.

Organic SEO

Organic SEO focuses on earning traffic through unpaid efforts and high-quality content. Implementation includes developing and promoting high-quality content that attracts organic traffic, such as a series of blog posts about different coffee recipes. Attract backlinks naturally through valuable content, like creating a comprehensive guide on coffee making that other food bloggers link to. Conduct thorough keyword research to target terms your audience is searching for, using tools like Google Keyword Planner to find relevant keywords for your niche.

Paid SEO

Paid SEO, this is a touchy topic for all the genuine SEO OGs: so basically, it’s paying for content and backlinks, such as sponsoring a post on a popular food blog that reviews your coffee products.

After meetings with our account reps, we learned that to give PMAX campaigns a solid start, it's crucial to allocate a budget that allows for enough data to be gathered for learning and improvement. Google recommends giving the machine learning algorithm at least six weeks to fully gather and analyze data, including click-through rates and conversion rates. This period allows AI to detect patterns, adapt strategies, and optimize ads for the best results. BAM! What about Search?

Here's the strategy: When a search query from a potential customer perfectly matches a keyword you're actively bidding on, the ad from your Search campaign will appear. If the search query isn't an exact match, Google will decide between the Search ad and the PMAX ad based on the Ad Rank score. The ad with the highest score wins. Combining Search with PMAX not only boosts your visibility but also ensures that the most relevant ad reaches your customers, no matter how specific their search query is. OK!

It feels like less work and helps clean up the areas we might have overlooked, similar to our robot vacuum. And it works and works, until one day it doesn't. Despite having stellar asset groups and finely tuned audience and conversion value settings, optimization seemed to be slipping.

What about a bespoke, handcrafted algorithm? We decided to test our own theories.

Here's what we discovered that works.

• Exclude Brand and Top Performing Keywords from all PMAX campaigns to maintain clarity and focus - got it!

• Leverage Exact Match Keywords: Sometimes, Manual and or Impression Share does work, you really gotta show up.

• Get rid of Non-Brand Keywords from Brand Campaigns: Even if they include slogans, keep brand campaigns strictly branded.

• Extend the Consideration Window: It’s not a Real Time Bidding Marketplace, people need time to consider buying something, especially if it’s expensive.

• Add Enhanced Conversions:

• Include High-Intent Generic Keywords in a specific Positive / Negative way to find that high CVR KW where customers who don't know your brand, actually can find you.

• RLSA in a specific “targeting” way:

• Control Broad Match Types: Use them for growth but for now keep phrase match as primary focus.

• Keep PMAX but limit it.

In the end, we learned that while PMAX can be incredibly powerful, the human touch in strategy and optimization is irreplaceable. Both have their strengths, and together, they can create something truly remarkable.

It’s been a whirlwind of fun all these years so we decided to write about it so everyone in the world can learn kinda what the differences are. 

Shopify:

Shopify offers a wide range of customizable themes, extensive app integrations, and reliable hosting services. Shopify is ideal for small to medium-sized businesses looking to establish and scale their online presence quickly. It’s also pretty inexpensive and easy to set up. You don't have to deal with sudo reboot.

Magento:

Magento is an open-source (free) e-commerce platform. This also means you have to pay for hosting. You can code a lot of custom logic on top of it. And handle complex product catalogs and transactions. Magento offers advanced SEO capabilities, making it suitable for businesses with specific needs and technical expertise. You do have to deal with sudo reboot.

Wix:

Wix is great for novice folks who don't know coding and wants a drag-and-drop interface, pre-designed templates, and integrated hosting services, Wix's e-commerce features are more basic compared to other platforms, it offers simplicity and affordability for beginners. You don't have to deal with sudo reboot. We love Wix, cause we have PTSD from the difficult stuff.

Squarespace:

Squarespace is great for quick informational websites and is a popular all-in-one website building platform that includes e-commerce capabilities. It offers beautifully designed templates, built-in SEO tools, and seamless integration with third-party services. You don't have to deal with sudo reboot.

Adobe Experience Manager (AEM):

Adobe Experience Manager is an enterprise-level content management system (CMS) with robust e-commerce capabilities. It provides personalized digital experiences, advanced marketing tools, and seamless integration with other Adobe products. AEM is designed for large enterprises seeking to deliver sophisticated, omnichannel customer experiences across multiple touchpoints. You don't have to deal with sudo reboot but you do need hefty VPN for security.

OS Commerce:

OS Commerce is an open-source e-commerce platform, where you can do headless commerce (meaning less load). OSCommerce is pretty awesome and offers a range of features including customizable templates, payment gateway integrations, and multilingual support (Yup, no Weglot!). While OS Commerce requires self-hosting and lacks some advanced features compared to other platforms, it's  cost-effective. You do have to deal with sudo reboot.

WooCommerce:

WooCommerce is the ecom engine for Wordpress. We have a love-hate relationship with WP. To do WP great, you need to have an awesome understanding of PHP and Servers so you can totally jack up your SEO. You do have to deal with sudo reboot.

What we believe AI can't do, well not yet at least, is serve relevant bespoke benchmarks, providing tangible and immediate value so that we find what has yet to be discovered without handicapping our frontal cortex.

While that obscure impression might drive value to your unique store because nobody else offers your particular product and it might, and while there is negligible search volume, it has been growing as a result of attribution from Social Activity. That promotion may resonate with a niche audience, but no, it won't necessarily translate into immediate dollars on Venmo.

Real contextual business problems and thought:

What do people do in your town/state/country? What are people doing in your town and near your business? Are they spending their nights at Home Depot? What we should always leverage Google Trends (including YouTube, Map searches) is to prove (1) Brand Search demand in the area vs. competitor brands; and (2) Generic Search demand in the area of the product and look for actual KW search pattern, and use it as insight in setting up SEM campaigns. What is that behavior? Who are the true competitors in your region?

Ultimately, Growth is about results, but what’s more important is we’re building upon a foundation of growth and running hypothesis testing so that the platforms (Meta, TikTok, Yelp, Google, YouTube, Hulu) are reinforcing our theories and are relevant beyond their metrics and curtailed to your business.

• Conducting keyword research with a focus on conversion intent.

• Implementing conversion-driven link building strategies.

• Tailoring content and messaging to our audience through strategic tagging.

• Ensuring alignment of content with user expectations.

• Conducting rigorous A/B testing to optimize page performance.

• Diversifying calls to action (CTAs) to encourage user interaction.

• Prioritizing above-the-fold content for maximum impact.

• Optimizing content specifically for conversion purposes.

• Streamlining page elements to minimize distractions.

• Improving page load speed for enhanced user experience.

• Applying insights gleaned from successful content to inform future strategies.

• Enhancing headlines and subheadings to capture audience attention.

We center our efforts on substance and significance rather that superficial metrics as success is gauged by the actual impact and outcomes, not just by repeating menial tasks. An example of this is that, in addition to targeting high-volume keywords, we prioritize those with high conversion intent and identify keywords that signal purchase intent, such as specific product names, review queries, or comparison terms. Furthermore, by focusing on content above the fold, we attract users actively seeking and increase the probability of conversions.

Content matters, and conversion-focused content that guides users through the buyer's journey actually.. works. This involves optimizing landing pages, product descriptions, and calls-to-action (CTAs) with copy and clear value propositions. Additionally, integrating trust signals, such as customer testimonials, case studies, and trust badges, serves to instill confidence. While technical SEO optimizations still work, prioritizing user experience, trust-building, and seamless interactions delivers unparalleled results in conversion value.

Contact Real Humans at SL today to learn more about how we drive measurable business value with the levers of Content and SEO

Before embarking on your journey to conquer the US market, it's imperative to define clear objectives for your expansion. These objectives may include profit targets, contractual arrangements, staffing requirements, and the level of control over your US operations. Establishing these goals will provide a roadmap for your market entry strategy and guide your decision-making process.

Here are some essential strategies and tips to maximize your success in marketing your products or services to American consumers:

Leverage Digital Presence:

Utilize your website and employ effective SEO techniques to facilitate easy communication with US customers and suppliers. Americans often rely on a company's website as the primary source of information, making it crucial to ensure accessibility and user-friendliness.

Provide Local Support:

Offer dedicated product or service support tailored to the US market. Understanding the specific needs and preferences of American consumers can enhance your brand's reputation and foster customer loyalty.

Tell Your Story:

Highlight the history and unique narrative behind your brand, company, or product. Americans appreciate authenticity and are drawn to compelling stories that resonate with their values and aspirations.

Emphasize Quality and Innovation:

Capitalize on the perception of the US as a global leader in high-quality, innovative products, services, and intellectual property. Emphasize the design, engineering, and sophistication of your offerings to appeal to American consumers' preference for excellence.

To effectively navigate the complexities of the US market, consider the following key factors:

1. Geography Matters:

Recognize the vast geographical expanse of the US and the diversity within its regions. Plan meetings strategically, considering the significant distances between major cities and the logistical challenges they present.

2. Language and Communication:

Adapt your communication style to resonate with American audiences, prioritizing clarity and directness. Avoid cultural misunderstandings by familiarizing yourself with American English expressions and business etiquette.

3. Cultural Sensitivity:

Respect cultural norms and values, such as punctuality, professionalism, and attention to detail. Build relationships with American counterparts by demonstrating reliability, transparency, and a commitment to mutual success.

4. Strategic Market Segmentation:

Divide the US market into manageable segments based on various criteria, such as demographics, psychographics, and geographic regions. Tailor your marketing strategies and product offerings to address the specific needs and preferences of each segment.

5. Regulatory Compliance:

Stay informed about regulatory requirements and compliance standards applicable to your industry and business operations in the US. Seek guidance from local experts and regulatory authorities to ensure adherence to legal and ethical guidelines.

6. Tap into Local Expertise:

Collaborate with experienced professionals and advisors familiar with the nuances of the US market. Leverage local knowledge and networks to navigate cultural nuances, consumer trends, and competitive dynamics effectively.

In conclusion, entering the US market requires careful planning, cultural awareness, and a strategic approach to marketing and sales. By understanding the unique characteristics of American consumers and business practices, SL can assist you to market to the USA.