
Our spy tools monitor millions of native ads from over 60+ countries and thousands of publishers.
Get StartedPerformance media has traditionally been built around measurable, immediate actions. Launch a campaign, monitor click-through rates, optimize cost per acquisition, and scale the combinations that meet your targets.
That approach is useful—but it can create an incomplete picture of how people make decisions.
It assumes that a prospect sees an advertisement, clicks, evaluates the offer, and converts within a relatively short journey. In reality, many buyers have already encountered a brand, discussed a problem, watched a creator, read a review, or compared alternatives before that tracked click ever happens.
This is especially obvious in B2B, where purchases can involve multiple stakeholders, longer evaluation periods, and meaningful professional or financial risk. But the same underlying behavior appears in many direct-response categories. Even when the final action is a quick purchase or form submission, the decision may be influenced by earlier interactions.
A prospect might:
A last-click report may credit the advertisement. It will not necessarily explain all the interactions that made the prospect comfortable enough to act.
This is why performance marketers can learn from B2B influence strategy.
As TopRank's discussion of the prestige trap suggests, influence and visibility need to reflect the places and behaviors where audiences actually discover and evaluate information—including search, social platforms, video, and AI tools.
B2B influence programs also tend to treat credibility as a coordinated effort rather than a one-off endorsement. TopRank's explanation of B2B influence as a team sport explores the roles that experts and creators can play across a buyer journey.
That thinking can improve direct-response campaigns.
Instead of treating creators as interchangeable faces attached to an advertisement, marketers can consider how different voices contribute to the decision:
Research and commentary about social media marketing also point to the importance of community and trust. The draft references HubSpot's social media predictions article, which should be treated as historical context rather than current research because it dates from 2017.
Similarly, Convince & Convert's discussion of B2B social media marketing trends for 2025 provides context for how expert and creator collaborations can help brands reach more specialized audiences.
The implication for performance media is straightforward: a click is an observable event, but trust is often built across several interactions.
Influence is not a decorative brand layer added after the media plan. It can be part of the system that makes a direct-response offer easier to understand, evaluate, and trust.
When you examine competitor advertisements in an ad intelligence platform, the visible elements are usually easy to identify: headlines, images, videos, offers, and landing pages.
But those elements may be only the visible part of a larger trust system.
A campaign can feature a recognizable expert, a customer story, a creator-led demonstration, or an invitation to a community. Those assets may connect to organic content, events, podcasts, professional discussions, or other experiences that are not visible in the advertisement itself.
The important research question is not simply, "What does the ad say?"
It is:
What other credibility signals might help explain why this offer feels worth considering?
There are four trust assets worth investigating.
A prospect who encounters an advertisement featuring a respected practitioner may interpret the message differently from one featuring an unfamiliar spokesperson.
The expert's credibility may have been established through published work, professional experience, conference appearances, interviews, or educational content.
As TopRank's B2B influence framework explains, effective B2B influence often involves people with genuine domain knowledge and established credibility among a relevant audience.
Imagine finding a competitor's advertisement promoting a webinar about improving sales operations.
The visible creative may show a speaker and a headline. But the speaker could also have a history of publishing industry advice, appearing on podcasts, or participating in professional communities.
The advertisement is one touchpoint in a broader public presence.
When investigating this pattern, look for:
The goal is to understand how expertise is presented—not to assume that every featured speaker has a meaningful influence on conversion.
Creators and subject-matter experts can serve different roles.
An expert may have deep knowledge and professional credibility. A creator may be especially skilled at presenting ideas through short videos, demonstrations, storytelling, or platform-native formats.
Some people can do both, but the distinction is useful when designing a campaign.
A creator might introduce a problem through an engaging video, while an expert provides the detailed explanation on a webinar or landing page.
The same creator-led content may also be adapted into paid advertisements, email assets, or website sections.
TopRank's B2B influence discussion offers a useful framework for thinking about the complementary roles of experts and creators.
Ad intelligence can help identify the visible creative assets. It cannot automatically reveal the original creator agreement, the organic audience response, or the relationship between the creator and the advertiser.
Those details require additional public research or first-party information.
Communities can create repeated opportunities for people to exchange experiences, ask questions, and evaluate recommendations.
Examples include:
A prospect who has participated in a relevant community may arrive at a landing page with a different level of familiarity than someone encountering the brand for the first time.
This is one reason community can be valuable beyond its immediate engagement metrics.
However, a landing page that advertises community access does not prove that the community is active, valuable, or responsible for conversions. Marketers need to investigate the experience and evaluate the evidence.
The historical HubSpot social media predictions article discusses community-building and trust as marketing themes. Its statistics should not be presented as current market benchmarks without newer supporting research.
Influence does not always appear as a traditional sponsored post or creator advertisement.
It can be built directly into the content surrounding the offer.
Look for:
These elements can help prospects understand a complicated offer and evaluate whether it is relevant to their situation.
Convince & Convert's coverage of B2B social media trends provides additional context on the role of expert and influencer collaborations in reaching niche audiences.
When you reverse-engineer a competitor's funnel, do not stop at the headline, offer, and page layout.
Look for the people, communities, and proof elements surrounding the offer.
Those visible signals can help you develop a more complete research picture. They do not establish the competitor's actual conversion rates or prove that a particular trust asset caused a campaign to succeed.
Most marketers open an ad intelligence platform looking for headline ideas or creative inspiration.
A more useful approach is to treat it as a research tool for understanding the visible trust architecture surrounding competitor campaigns.
Instead of examining one advertisement in isolation, look for patterns across creatives, advertisers, landing pages, and campaign timelines.
Here is a practical way to do that.
Start by identifying recurring faces and names across a competitor's visible advertising.
Look for:
Then investigate their public presence.
Do they publish industry commentary? Appear in interviews? Participate in conferences? Contribute to professional communities? Show up in educational content connected to the same product category?
The distinction between an expert and a creator can help organize your findings.
As TopRank's team-sport model explains, different contributors can provide different forms of influence and audience connection.
Your goal is not to reproduce another company's talent roster. It is to understand the mix of expertise, reach, and communication style surrounding its offer.
Ad intelligence may reveal phrases and creative elements that point toward a broader audience relationship.
Examples include:
These messages suggest that the advertiser is positioning the community as part of the value proposition.
You can then investigate the public-facing experience:
Treat these as observations, not proof of community size, engagement, or commercial impact.
Once you have identified people and public trust signals, map how they appear across the buyer journey.
A useful framework is:
| Funnel stage | Possible influence asset | Research question |
|---|---|---|
| Awareness | Creator videos, expert commentary, short educational posts | Who introduces the problem? |
| Consideration | Webinars, interviews, reports, comparison guides | Who explains the solution? |
| Evaluation | Case studies, customer stories, expert demonstrations | What evidence supports the offer? |
| Conversion | Testimonials, transparent terms, product proof, consultation | What helps reduce uncertainty? |
| Retention | Customer groups, user communities, ongoing education | What supports the relationship after purchase? |
The same person may appear at multiple stages. Alternatively, different contributors may support different parts of the journey.
You can use ad timelines and landing-page observations to record when particular creative approaches appear and how the messaging changes.
But avoid treating campaign longevity or estimated spend as proof that an influencer reduced CAC. Those are external observations, not access to the advertiser's internal attribution data.
Once you understand the pattern, consider what is realistic for your business.
You may not need a large creator roster or an elaborate private community.
A smaller program could include:
The right combination depends on your audience, product, resources, and sales cycle.
Convince & Convert's B2B social media analysis provides useful context for using collaborations to reach specialized audiences.
The key is to build an influence system that supports the offer rather than simply adding recognizable faces to advertisements.
Anstrex can help you examine visible advertising activity and investigate the creatives and landing pages associated with campaigns in your vertical.
For this workflow, the objective is to find useful research examples—not to declare that an advertiser is profitable simply because an advertisement appears frequently or has been visible for a long time.
Start with a specific market or product category.
Then use the relevant Anstrex search options and filters to narrow the results by supported traffic type, geography, network, or other available criteria.
A focused search makes it easier to compare similar offers and identify recurring creative approaches.
For example, if you are researching B2B software offers, avoid mixing unrelated consumer product campaigns into the same initial analysis.
Keep the research focused enough that patterns are meaningful.
Review advertisements that show repeated messaging, creative variations, or related landing-page destinations.
Record:
If the platform provides campaign-duration or estimated-spend indicators, you can use them as additional research filters.
However, these should be treated as directional signals. They do not reveal verified revenue, profit, CAC, or LTV.
After reviewing the landing page, classify the visible journey.
| Funnel archetype | Typical sequence | Trust elements to investigate |
|---|---|---|
| Direct-response | Ad → offer page → checkout | Product demonstration, reviews, transparent terms |
| Lead generation | Ad → resource or form → follow-up | Expert credentials, useful content, customer evidence |
| Webinar or event | Ad → registration → event → offer | Speaker expertise, event relevance, educational value |
| Content-led conversion | Ad → guide or report → product page | Research, practitioner insights, comparison information |
| Community-led | Ad → community or membership page → offer | Member experience, participation, support, peer stories |
The purpose is to understand how the advertiser connects attention to the offer.
Hybrid content-and-conversion funnels deserve particular attention because they often include more than one type of trust signal.
You may find an expert quotation in an advertorial, a customer story on the offer page, or a community invitation near the call to action.
Where the available Anstrex data supports it, review publishers, placements, and domains associated with the campaign.
Look for recurring environments where similar offers appear.
Then investigate the public context of those environments.
For example:
These observations can help you understand where a campaign is being distributed and how its message is packaged.
They do not establish the exact audience composition or the quality of traffic.
Look beyond the individual advertisement.
Ask:
Repeated patterns can provide clues about how an advertiser organizes its communication.
Use those observations to form hypotheses about your own funnel. Validate them with your own campaign results.
Finding an interesting advertisement is only the beginning.
To understand the visible trust structure, follow the journey as far as you reasonably can and document each step.
A useful capture may include:
Do not assume you can access every post-click or post-purchase experience. Record only what you can actually observe.
The aim is to create a structured dataset of how advertisers present authority, proof, and community throughout the funnel.
Use a spreadsheet or database with one row per funnel.
Suggested fields include:
| Field | What to record |
|---|---|
| Advertiser | Brand or advertiser name, where identifiable |
| Ad reference | Anstrex reference, ad ID, or captured URL |
| Traffic type | Native, push, pop, instream, or another supported format |
| Creative | Headline, visual concept, spokesperson, and message |
| Pre-sell URL | Destination of the intermediate page, if present |
| Offer URL | Main landing page or offer destination |
| Geography | Observed or selected market, where available |
| Device | Device context, where available |
| Observation date | When the example was captured |
| Campaign notes | Visible variations and relevant patterns |
Keep estimates clearly labeled as estimates. Do not record them as verified advertiser spending or performance.
For each captured funnel, create a second table that records the trust elements you observe.
Suggested fields:
Use three primary categories.
Authority
Authority signals indicate why a person or organization may be qualified to speak about a subject.
Examples:
Proof
Proof signals provide evidence supporting a claim or product promise.
Examples:
Community
Community signals suggest that customers or prospects can participate in a shared environment.
Examples:
This structure allows you to compare funnels without treating every badge, testimonial, or follower count as equally credible.
A logo or title is not automatically proof of expertise.
For each authority signal, record what the page actually claims.
For example:
TopRank's B2B influence framework provides a useful lens for distinguishing expertise from general visibility.
The goal is to understand how authority is communicated and whether the signal is relevant to the decision.
Performance funnels often use quantified claims, testimonials, and visual demonstrations.
Record each proof element, but do not assume that a claim is true simply because it appears on a landing page.
Examples to capture include:
For each item, note whether the source is identifiable and whether the claim can be independently substantiated.
A screenshot of a dashboard is an observed creative element. It is not automatically verified evidence of revenue or business performance.
Community elements can appear in many forms:
Some landing pages also use live counters, limited-seat messages, or statements about how many people are viewing a page.
These should not automatically be classified as proof of an active community. A counter may be a promotional device rather than a verified measure of participation.
Distinguish genuine community evidence from urgency messaging.
After tagging several examples, compare them.
Ask:
The outcome should be a library of reusable structural ideas—not a collection of copied claims or creative assets.
Once you have captured and tagged enough examples, individual funnels start to reveal recurring structures.
Instead of treating every competitor page as a separate case, group similar combinations of trust signals into repeatable patterns.
These patterns can become practical creative and landing-page frameworks.
Here are five examples.
This pattern begins with a creator-style video or visual that introduces a recognizable problem.
The creative may use a direct question, a contrarian point of view, or a practical demonstration.
An authority marker then provides context for why the message deserves attention. This could be a relevant professional credential, a named practitioner, or a credible third-party reference.
The pre-sell page expands the message through a story, explanation, or case-study-style narrative.
The sequence looks like this:
Creator-led hook → relevant authority signal → explanatory pre-sell → offer.
This combines the format skills of creators with the subject knowledge of experts.
TopRank's discussion of the B2B influence team model provides a useful conceptual basis for this combination.
For your own campaigns, the important requirement is that the authority signal is genuine and relevant. Do not add a credential or endorsement simply because it makes a page look more established.
In this pattern, the audience itself becomes a central part of the message.
The advertisement may introduce a customer experience, a product demonstration, or a recognizable problem.
The pre-sell or landing page then presents additional customer stories, product evidence, or documented results.
The sequence looks like this:
Customer-led creative → substantiated proof → supporting stories → offer.
This can be useful when prospective buyers want reassurance that a product works in a situation similar to their own.
However, customer claims should be genuine, representative, and presented with appropriate context. A large number of testimonials does not automatically establish typical results.
Convince & Convert's coverage of B2B social media trends offers context on the role of trusted voices and practitioner experiences in reaching niche audiences.
This pattern is particularly relevant to categories where buyers need to evaluate technical credibility.
The creative introduces a recognized award, industry report, certification, or third-party assessment.
An expert then explains what that recognition means and how it relates to the product.
The landing page provides additional details and a clear next step.
The sequence looks like this:
Recognition → expert explanation → supporting documentation → CTA.
The wording matters.
If an organization has been named in a report, do not imply that it has been declared the overall market leader unless the source actually says so.
TopRank's analysis of the prestige trap is relevant here because it discusses the importance of using third-party recognition accurately rather than overstating what it establishes.
This pattern positions access to a group, network, or shared learning environment as part of the offer.
The advertisement may highlight a professional community, peer discussion, or recurring event.
The pre-sell page then introduces a practical resource, such as a playbook, guide, or workshop.
The call to action invites the prospect to participate or learn more.
The sequence looks like this:
Community context → useful resource → explanation of member value → invitation.
This approach is only persuasive when the community genuinely offers something relevant to its members.
Do not fabricate member counts, activity levels, or exclusivity.
Here, the founder or executive becomes a recurring voice in the campaign.
The advertisement introduces a point of view that challenges a common assumption.
The pre-sell content explains the reasoning, presents supporting evidence, and introduces an alternative approach.
The product appears as a practical way to implement that approach.
The sequence looks like this:
Founder perspective → useful explanation → supporting evidence → product connection.
This can be effective when the founder has genuine experience and can explain the problem in a way that is useful to the audience.
MarTech's discussion of how B2B influencer marketing takes a different shape provides additional context for why expertise and relevant points of view matter in B2B influence programs.
Once you have identified five to ten recurring structures, document them as reusable recipes.
For each pattern, record:
For example:
| Pattern | Sequence | Potential use |
|---|---|---|
| Creator + authority + story | Creator hook → expert context → story page | Educational product or service |
| Customer proof sequence | Customer creative → documented proof → offer | Product with verifiable customer outcomes |
| Recognition + explanation | Third-party recognition → expert explanation → CTA | Technical or professional solution |
| Community + resource | Community context → useful guide → invitation | Membership or professional service |
| Founder POV + product bridge | Founder insight → explanation → product | Expertise-led software or service |
These patterns are not guaranteed conversion formulas. They are structured starting points for creative development and controlled testing.
The purpose of competitor research is not to reproduce someone else's funnel.
It is to understand which structural ideas may be relevant to your own audience and offer.
Once you have identified useful patterns, translate them into a realistic plan.
Start with the questions your prospects ask before converting.
For example:
Choose the most important gap rather than adding every possible trust element to the page.
Select people based on the role they can genuinely perform.
| Contributor | Useful role | What to evaluate |
|---|---|---|
| Subject-matter expert | Explain complex issues | Relevant knowledge and credentials |
| Creator | Present ideas in engaging formats | Audience fit and communication skill |
| Customer | Describe a genuine experience | Authenticity and permission |
| Founder | Explain the company's perspective | Relevant experience and credibility |
| Community member | Share peer experience | Genuine participation and context |
The best choice is not necessarily the person with the largest following.
A smaller, relevant audience or a credible practitioner may be more appropriate than a broad-reach personality who has little connection to the product category.
Before using a testimonial, statistic, award, or customer result, establish what it actually demonstrates.
Ask:
Do not copy a competitor's numerical claims or imply that their results are representative of your own customers.
A community should offer a genuine reason for people to participate.
That could be:
If you do not have the resources to maintain a community, do not add a private-group invitation simply because competitors use one.
A useful educational resource or responsive customer-support experience may be a better fit.
Once the campaign is ready, test the role of the trust element.
For example:
Use a clear testing plan and measure outcomes that matter to the business.
Depending on your campaign, these may include qualified leads, purchases, conversion rate, cost per acquisition, revenue, or customer retention.
Do not conclude that a trust element caused a performance change unless your test design supports that conclusion.
Record what you tested, what changed, and what the results actually showed.
Over time, your team can build an internal library of:
This turns ad intelligence from a source of occasional inspiration into a repeatable research process.
Direct-response marketing will always need measurable actions. Clicks, leads, purchases, and acquisition costs remain essential to campaign management.
But those metrics do not explain every interaction that shapes a buyer's decision.
Creators, experts, customer stories, and communities can all contribute to the trust that exists before a prospect reaches a conversion page.
That is why performance marketers can benefit from adopting some of the thinking used in mature B2B influence programs.
Use Anstrex to investigate the visible advertising landscape. Examine creative variations, landing pages, offers, and recurring campaign patterns. Then look beyond the advertisement to identify the public-facing experts, creators, customer evidence, and community signals that may support the broader offer.
Capture the full funnel. Tag authority, proof, and community. Cluster recurring combinations into influence patterns. Finally, adapt the most relevant structures into original campaigns and measure them using your own performance data.
The objective is not to copy a competitor's spokesperson, testimonial, or landing page.
It is to understand how trust is communicated—and build a credible version of that experience for your own audience.
The click may be the conversion event you can measure. The influence that made it possible may have started much earlier.
Receive top converting landing pages in your inbox every week from us.
Must Read
Direct-response funnels often depend on trust built before the click. Learn how to use ad intelligence to identify creators, experts, community signals, and proof elements in competitor funnels—and turn those observations into a stronger performance marketing playbook.
Liam O’Connor
7 minNov 3, 2026
In-Depth
AI-first publishing can increase impressions and traffic without improving revenue. Learn how competitive ad intelligence and Anstrex help marketers identify stronger buyer journeys, build differentiated funnels, and turn content production into a more evidence-led process.
Priya Kapoor
7 minNov 2, 2026
In-Depth
As AI makes creative production cheaper and more accessible, advertisers need a better way to decide what to make, test, and scale. Discover how Ad Intelligence Ops combines competitive research, structured signal ingestion, and performance feedback into a continuous operating system.
Marcus Chen
7 minNov 2, 2026



