FROM WALLED GARDENS TO SPYABLE GARDENS: HOW RETAIL MEDIA AND TIKTOK ADS ARE RESHAPING COMPETITIVE INTELLIGENCE

For years, the biggest advertising platforms operated like walled gardens.

Brands could see their own campaign performance, manage audiences, optimize budgets, and measure conversions, but understanding what competitors were doing behind the scenes was much more difficult.

That information gap is beginning to change.

Retail media networks, TikTok advertising, social commerce, and connected television are creating more interconnected advertising environments. Campaigns that once appeared confined to a single platform now extend across social feeds, retailer websites, mobile applications, video placements, and even physical digital screens.

For marketers, this creates a new opportunity: studying competitor advertising as part of a broader commercial strategy rather than looking at individual advertisements in isolation.

A TikTok video might introduce a product. A creator collaboration might build trust. A retail media placement might capture shoppers already comparing alternatives. A connected TV campaign might reinforce the same message in another environment.

When these activities are examined together, marketers can begin to understand how competitors connect discovery, consideration, conversion, and retention.

The platforms are not becoming completely transparent, and important information remains restricted to advertisers and their partners. But the growing number of observable advertising surfaces makes competitive research more valuable than ever.

The opportunity is to connect those signals and turn them into a practical intelligence system.

For years, advertising platforms such as Meta and Google were defined by their limited visibility into competitors' campaign activity.

Advertisers could see their own campaign metrics, including impressions, clicks, conversions, and acquisition costs. However, they had little direct access to competitors' actual budgets, targeting decisions, conversion rates, or optimization strategies.

This created an information imbalance.

You knew how your campaigns performed, but understanding why competitors were gaining attention or expanding their market presence required a great deal of manual research.

That environment is changing as advertising becomes more distributed.

Advertising creative is becoming a competitive research surface

On platforms such as Meta and TikTok, creative has become an increasingly important part of campaign differentiation.

Advertisers continuously introduce new hooks, visual formats, creator partnerships, product demonstrations, and promotional messages.

Many of these advertisements are publicly visible.

This creates opportunities to observe:

• Which products competitors are promoting.
• Which messages appear repeatedly.
• Which creative formats they use.
• Which offers they emphasize.
• Which creators are associated with their campaigns.
• How their messaging changes over time.

The advertisements do not reveal the complete campaign strategy, but they provide useful evidence of what brands are choosing to communicate.

This is why the concept of advertising platforms as creative intelligence environments has become increasingly relevant. As discussed in App Samurai's guide to multi-channel user acquisition, modern growth teams increasingly coordin

TikTok makes creative experimentation more visible

TikTok has a particularly interesting position in this shift.

Its short-form video environment makes it easier to observe creative concepts as they appear in public feeds.

A competitor might test a problem-solution skit, a creator testimonial, a product demonstration, or an unexpected opening hook.

Other advertisers in the same category can observe those approaches and investigate whether similar audience needs exist within their own markets.

TikTok's native-feeling advertising formats also create opportunities for brands to use creators and organic-style content in paid campaigns.

As Neil Patel discusses in his analysis of TikTok advertising formats, the platform's advertising environment brings entertainment, commerce, and performance marketing closer together.

That makes it useful for studying not only the advertisement itself, but also the surrounding content and commerce experience.

AI makes creative analysis more scalable

The next development is the growing use of AI tools to analyze advertising creative.

Instead of simply saving an advertisement, marketers can use AI-assisted workflows to identify:

• Opening hook patterns.
• Storytelling structures.
• Video pacing.
• Visual compositions.
• Messaging angles.
• Calls to action.
• Recurring creative themes.

This turns individual advertisements into structured research material.

The result is a more repeatable process for comparing competitors and identifying patterns worth testing.

However, AI-generated analysis should remain a starting point. A model can identify that several competitors use the same hook, but it cannot automatically prove that the hook generates profitable customers.

Human judgment is still needed to interpret what the pattern means.

The walls are becoming more interconnected, not disappearing

It is important to understand what this shift does and does not mean.

Advertising platforms still protect important information, including private campaign data, detailed audience targeting, and advertiser-specific performance results.

What is changing is the number of public and semi-public surfaces where campaign activity can be observed.

Retail media networks, social commerce, video advertising, and creator ecosystems create more opportunities to connect visible information across channels.

The result is a more useful competitive research environment.

Instead of asking only, "What advertisement is this competitor running?", marketers can begin asking:

• Where does the advertisement lead?
• Which product or offer is being promoted?
• Does the same message appear elsewhere?
• Which customer problem is being addressed?
• How does the creative fit into the wider buying journey?

That is the beginning of cross-channel competitive intelligence.

The next step is understanding how different advertising environments contribute to a competitor's overall strategy.

Retail media, TikTok, and native advertising provide different types of information. When studied together, they can reveal more about a brand's product priorities, creative direction, and possible customer acquisition approach.

Retail media networks reveal the commerce layer

Retail media networks allow brands to advertise through retailer-owned environments and, in some cases, through connected off-site inventory.

Examples include:

• Sponsored product placements.
• Sponsored search listings.
• On-site display advertising.
• Retailer audience-based campaigns.
• Off-site video and display placements.
• Connected TV advertising associated with retail media networks.

This creates a valuable research opportunity because retail media is closely connected to products and shopping behavior.

A brand's promoted products, category visibility, and promotional messaging can provide clues about which products it is prioritizing.

For example, if a competitor repeatedly promotes a particular product through sponsored placements and also features it in social video campaigns, that combination may suggest the product is important to its current marketing strategy.

However, the exact relationship between advertising exposure and sales is usually not publicly visible. Retailer attribution, audience data, and campaign performance information may only be available to the advertiser or authorized partners.

The right approach is to treat visible retail activity as evidence of commercial priorities, not proof of the competitor's results.

TikTok connects discovery, creators, and commerce

TikTok occupies a different position in the competitive intelligence stack.

Its short-form content environment provides a way to observe how brands introduce products, attract attention, and communicate their value.

Its commerce ecosystem adds another layer.

A marketer researching a competitor might observe:

• Creator videos demonstrating a product.
• Repeated promotional messages.
• Product links leading to TikTok Shop.
• Creator partnerships and affiliate content.
• Product bundles and promotional offers.
• Follow-up content addressing customer questions.

Together, these observations help explain how a brand may be connecting content discovery with shopping opportunities.

TikTok has also been expanding its advertising and AI capabilities. The original draft discusses the TikTok Ad Network and Symphony tools, including their potential to extend creative production and distribution beyond the main app.

These developments are relevant to competitive research because a campaign's creative may appear in more than one environment. However, the specific availability, market coverage, and capabilities of these products should be checked against current TikTok announcements before publication.

Native advertising and off-site placements extend the picture

Native advertising provides another useful research layer.

Unlike traditional display formats, native advertisements are designed to fit more naturally into the surrounding content environment.

For competitor research, examine:

• Headlines and opening claims.
• Editorial-style images.
• Advertorial landing pages.
• Product comparison content.
• Lead-generation funnels.
• Promotional messages and calls to action.

These elements can reveal how competitors position their offers outside their main social media channels.

The same product may be presented differently depending on the environment.

A TikTok video might introduce a problem through an entertaining demonstration, while a native advertisement might lead with a curiosity-driven headline and a detailed landing page.

The underlying product is the same, but the messaging is adapted to the audience's context.

Combine the three layers

A useful cross-channel intelligence framework looks like this:

Each channel provides a different perspective.

Retail media helps identify the products and offers being promoted. TikTok provides visible examples of creative experimentation. Native advertising helps reveal how brands communicate their value and move interested audiences toward a decision.

The strongest competitive intelligence comes from connecting these observations rather than analyzing each channel separately.

TikTok is particularly useful for studying how brands experiment with creative.

Its content-first environment makes many advertisements and creator collaborations visible to audiences beyond a brand's existing followers.

That visibility creates a valuable source of competitive observations.

Instead of treating TikTok as just another social channel, marketers can study it as a public creative research environment.

Analyze the first few seconds

The opening of a short-form advertisement often determines whether someone continues watching.

That makes hooks one of the most useful elements to catalog during competitor research.

Common approaches include:

• Problem-first hooks: Introduce a familiar frustration.
• Confessional hooks: Present a personal experience or unexpected discovery.
• Demonstration hooks: Show the product immediately.
• Question-based hooks: Encourage viewers to consider a specific problem.
• Pattern interrupts: Use an unexpected visual or statement.
• Comparison hooks: Show differences between two products or approaches.

For example, a beauty brand might open with a product demonstration, while a home improvement brand might begin with a visible before-and-after transformation.

The important thing is to understand the audience motivation behind the hook.

A useful research record should include the opening line, visual treatment, product category, and the message the advertisement is trying to communicate.

Study formats, not just individual videos

TikTok advertising includes several ways to present creative.

These can include creator-led videos, Spark Ads, product demonstrations, short educational clips, testimonials, and more polished promotional formats.

When studying competitors, pay attention to how they adapt the same idea across formats.

For example:

• A creator introduces a product through a personal experience.
• A second video demonstrates how the product works.
• A third video addresses a common customer objection.
• A promotional version introduces a discount or bundle.

This sequence may suggest a coordinated creative strategy.

It does not prove the exact funnel or targeting behind the campaign, but it provides useful material for understanding how the brand develops its messaging.

Identify repeated creative concepts

One advertisement might be a one-off experiment.

A creative concept that appears repeatedly across several creators, formats, or campaign periods deserves closer attention.

Look for:

• Similar opening hooks.
• Repeated product benefits.
• Multiple creators promoting the same product.
• Variations of the same demonstration.
• Consistent offers.
• Follow-up videos answering common questions.

Repeated activity can suggest that the advertiser considers a particular concept worth continuing to develop.

It should not automatically be labeled a proven winner. The advertiser's budget, campaign objectives, and actual conversion results may remain unknown.

Trace the visible customer journey

The advertisement itself is only one part of the research.

Follow the public customer journey as far as the available information allows.

For example:

1. A creator video introduces a product.
2. The video directs viewers to a product page.
3. The product page presents features, reviews, and an offer.
4. Related content answers questions or addresses objections.
5. A promotional message encourages the purchase.

This can help you understand how the competitor connects discovery with the next action.

You can also examine whether the same product appears in TikTok Shop, an external retailer, a brand website, or another public sales channel.

Use AI to organize your observations

Once you have collected examples, AI can help turn them into a searchable creative library.

Ask it to classify advertisements by:

• Hook.
• Format.
• Product.
• Customer problem.
• Emotional angle.
• Offer.
• Call to action.
• Destination.
• Creator or brand account.

Then compare the patterns across competitors.

For example, you might discover that several brands in the same category rely heavily on product demonstrations, while few explain the long-term benefits of using the product.

That could represent an opportunity to test a different message.

The goal is not to reproduce the competitor's video. It is to understand what the market is communicating and find a more distinctive way to address the same customer needs.

TikTok can reveal how brands attract attention, but retail media provides another perspective: how products are presented when shoppers are closer to making a purchase.

That makes retail media particularly useful for studying the commerce side of competitor strategy.

Retailers such as Walmart and Kroger have been expanding their advertising ecosystems beyond traditional placements on their own websites.

The original draft discusses integrations involving YouTube, connected television, and social advertising, including retailer audience partnerships. These developments illustrate a broader trend toward connecting shopping data with advertising distributed across more environments.

For marketers, the opportunity is to study the visible relationships between product promotion, advertising messages, and retail destinations.

Identify which products receive promotional attention

Start by examining competitor product visibility.

Look for:

• Products repeatedly appearing in sponsored search.
• Items receiving prominent product-page placements.
• New bundles or promotional packages.
• Seasonal campaigns.
• Changes in visible pricing or offers.
• Products featured in both social content and retailer advertising.

These observations may indicate which products a brand is prioritizing.

For example, if a competitor repeatedly promotes a particular product through sponsored listings while also featuring it in creator videos, that product may be an important part of its current marketing strategy.

But public placement activity does not reveal the competitor's exact advertising budget or sales performance.

Study the relationship between social discovery and retail conversion

One useful research approach is to compare the same product across different environments.

Imagine a competitor promoting a skincare product through three visible channels:

TikTok: A creator demonstrates the product and discusses a particular skin concern.

Retail media: The product appears in sponsored search and promotional placements.

Brand website: The product page emphasizes ingredients, customer reviews, and a bundle offer.

Each environment contributes a different part of the customer journey.

The TikTok content introduces the product. Retail media helps the product appear when shoppers are browsing. The brand website provides more information for customers evaluating the purchase.

This is a useful way to reconstruct a possible marketing sequence.

However, the exact attribution between these channels cannot be established from public observations alone.

Look for changes in offers and messaging

Pricing and promotional changes can also provide competitive clues.

Monitor whether competitors introduce:

• New bundles.
• Limited-time promotions.
• Free shipping offers.
• Subscription incentives.
• Product combinations.
• Retailer-exclusive offers.

Then compare those changes with their visible social advertising.

For example, a brand might begin emphasizing a product bundle in TikTok videos shortly before the same bundle appears in a retailer promotion.

That timing is worth investigating.

It may indicate a coordinated campaign, although you should not assume a direct relationship without further evidence.

Understand the difference between retail signals and private data

Retail media networks can provide valuable information to participating advertisers, including campaign reporting and retailer-specific measurement.

However, these details are not necessarily available to competitors.

Public researchers should distinguish between:

• Visible sponsored product placements.
• Public product pricing and promotions.
• Available retail rankings and product listings.
• Authorized campaign reporting.
• Private retailer audience and conversion data.

This distinction prevents competitive research from overstating what can actually be observed.

Retail media is valuable because it connects advertising with commerce, but it is not a transparent view of every competitor's sales funnel.

Collecting competitor advertisements across different platforms is useful, but the information becomes much more valuable when it is organized into one repeatable research system.

A few saved TikTok videos and screenshots of sponsored product listings do not provide a complete competitive picture.

The goal is to create a structured intelligence library that connects creative, products, offers, landing pages, and visible channel activity.

Start with advertising libraries and public feeds

Build a recurring research routine using available public advertising resources.

Depending on the market and platform, this may include:

• TikTok advertising research resources.
• Meta Ad Library.
• Public YouTube advertising examples.
• Retailer product listings.
• Sponsored search results.
• Public creator collaborations.
• Native advertising examples.
• Competitor websites and landing pages.

For each advertisement, record:

• Competitor or brand.
• Platform.
• Date observed.
• Product or service.
• Creative format.
• Opening hook.
• Main message.
• Offer.
• Call to action.
• Landing-page destination.
• Visible creator or partner.
• Notes about repeated activity.

Use platform-approved access methods and respect applicable terms and restrictions when collecting or automating research.

Add retail media observations

Next, connect the advertisements to visible retail activity.

Record:

• Products appearing in sponsored placements.
• Category positioning.
• Public pricing changes.
• Product bundles.
• Promotions.
• Retailer destinations.
• Product-page messaging.
• Relevant seasonal campaigns.

This makes it easier to understand whether a competitor is emphasizing the same product across social and retail environments.

Map one product across channels

Choose one or two important competitor products and follow their visible advertising presence.

For each product, investigate:

Social discovery

• Which TikTok videos introduce the product?
• What hooks and formats are used?
• Which creators appear repeatedly?

Retail visibility

• Does the product appear in sponsored search?
• Are there visible promotional placements?
• Which retailers carry it?

Native and content advertising

• Are there advertorials, comparisons, or educational landing pages?
• Which benefits are emphasized?
• What objections are addressed?

Search and destination pages

• Which public landing pages receive traffic from the advertisements?
• Does the message remain consistent?
• Are there different offers or bundles?

This creates a more complete picture than studying a single advertisement.

Build a consistent creative taxonomy

Use the same categories across all competitors.

The confidence field is particularly important.

It prevents your team from confusing what it has directly observed with what it believes might be happening.

Identify recurring funnel patterns

After several weeks of research, you may start seeing patterns.

For example:

• Creator-led content introduces a new product.
• Additional videos demonstrate its benefits.
• Retail placements increase the product's visibility.
• Promotional offers appear on product pages.
• Follow-up creative addresses common objections.

This suggests a possible coordinated customer journey.

It is not proof of the competitor's internal media plan, but it gives your team a useful hypothesis about how the brand may be connecting its channels.

Turn the research into a living competitor playbook

For each important competitor, maintain a research document with five sections:

1. Product priorities

Which products, categories, and bundles appear most frequently in public campaigns?

2. Creative strategy

Which hooks, formats, creators, and messaging themes are repeated?

3. Offer and pricing approach

How do discounts, bundles, guarantees, and promotions appear across channels?

4. Channel roles

Which platforms appear to support discovery, consideration, and conversion?

5. Emerging opportunities

Which customer problems, product benefits, or creative approaches appear underrepresented in the market?

This playbook should be updated regularly.

It becomes a working reference for campaign planning, creative development, and competitive positioning.

The advertising landscape is becoming more interconnected.

Retail media networks are expanding beyond retailer websites. TikTok is combining short-form content, creators, commerce, and new advertising capabilities. Native advertising and off-site placements provide additional opportunities to study how brands communicate with potential customers.

For marketers, this means competitive research can no longer stop at collecting individual advertisements.

The more valuable opportunity is to connect the available evidence.

Study the creative that introduces a product. Examine the retail placements that promote it. Follow the public landing pages and offers. Compare the messages used across different environments.

Then organize those observations into a repeatable intelligence system.

AI can help classify creative, identify repeated patterns, and summarize large collections of competitor advertisements. But the final strategic decisions still require human judgment and an understanding of the business.

Not every visible advertisement is successful. Not every repeated promotion is profitable. And not every channel interaction reveals the competitor's actual funnel.

The advantage comes from distinguishing evidence from assumptions and using that information to develop better campaign hypotheses.

The future of competitive intelligence is not about spying on more advertisements. It is about connecting more of the signals behind them.