Lauren Papon

They contrast paid social's leverage with commercials, billboards, and magazine ads, which they describe as far less powerful now.

• A strategist, in this framing, asks the questions brands otherwise skip: why an ad worked, what patterns the account shows, who is actually buying, and what the data says to test next.
• Each ad becomes an opportunity to learn rather than a one-off bet.

The post lists those questions directly ('WHY did this ad work?', 'What are the patterns in the ad account telling us?', 'Who is actually buying?', 'What does the data lead us to test next?') and closes by asking readers what impact they have seen paid social have.

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They recommend a sequence: gather evidence, form a hypothesis, produce researched creative at volume, test, learn, and iterate on and scale the winners.

• The evidence comes from past creative performance, market research, and the brand's actual buyers.
• Volume matters, but only when it's informed by research; the post draws a line between scaled testing and, in their words, 'random sh*t'.
• They also allow for ads that fail despite the research, treating failure as part of the process rather than a reason to stop.

The method is summed up in one line: 'It's: Research, Hypothesis, Test, Learn, Iterate,' followed by an open question asking readers how they decide what creative to make next.

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Lauren Papon tells readers to look for messaging that keeps winning, parts of ads that consistently underperform, ideal customer profiles that keep appearing, and gaps between them.

• The underlying claim is that no ad is wasted because each one provides clarity; the 'secret sauce' is in the patterns.
• The point is to reduce guesswork and work from evidence.

The post opens with the reader's problem ('Idk what ad to make next...') and offers a short diagnostic list of pattern questions, ending by asking what patterns readers are seeing in their own accounts right now.

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The Cannes Lions recap puts this into practice: they attended the festival without a pass to join the conversations they wanted to be part of, and chose the rooms deliberately.

The recap describes time at the Dark Room villa with performance marketing people from DTC brands including Triple Whale, Manychat, and Wispr Flow; meetings with people from Motion (Creative Analytics) and creative strategist Dara Denney; and repeated visits to The Female Quotient lounge. Keke Palmer, speaking at the event, is quoted separately on making opportunities for yourself and investing in yourself — Lauren Papon attributes the line to Palmer rather than presenting it as their own.

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Lauren Papon says they do not want to go back to bartending, but treat the unwanted work as fuel to go all in, committing to 'full throttle on creative strategy, content creation, and building the life I actually want.' The post conveys commitment and momentum, and asks who else is building something outside a nine-to-five.

The post pairs the two roles in its opening line and frames the season as the gap between where they are and the career they are building. It closes by asking readers about building their dream outside their day job.

Read alongside the post arguing that every DTC brand needs a dedicated creative strategist, this post reveals a tension: one sets out what brands should staff, while the other describes a practice still being built. Read the ideas as a clearly stated method and conviction, not a record of established agency-scale delivery.

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Start here for the clearest statement of Lauren Papon’s operating method.

Lauren Papon rejects sporadic posting as a strategy.

• They say founders often make creative occasionally and “just see what happens.”
• Instead, they outline a sequence: gather evidence from past creative performance, market research and actual buyers; form a hypothesis; produce researched creative at volume; test; learn; and iterate on winners.
• Not every ad will work, they acknowledge, but the process reduces guesswork and surfaces a winner worth scaling.

For brands planning a campaign

Use this as the backbone for a paid-social creative brief: require evidence, a stated hypothesis, a defined test and a documented learning step before the next round. It gives an agency or in-house team a shared vocabulary for why a test ran and what to do with the result.

Useful for readers looking for a diagnostic step before generating more variations.

Lauren Papon argues that the next ad should come from reading patterns in the ad account.

• They ask which messaging keeps winning, which parts of ads consistently underperform, who the consistent ideal customer profiles are and where the gaps lie.
• They treat every ad as evidence: “no ad is wasted” because each one provides clarity.
• The goal is to reduce guesswork and rely on evidence.

For brands planning a campaign

Add an account-pattern review to the start of a creative sprint, before briefing new concepts. Pull winning and losing ads into a simple matrix of message, format and audience so the next test targets a gap rather than a hunch.

Useful for a brand deciding whether to hire or contract a creative strategist.

Lauren Papon argues that every DTC brand needs a creative strategist because paid social ads are the fastest way to test creative, learn from real consumer behavior and scale what works.

• They contrast paid social’s leverage with commercials, billboards and magazine ads, saying those formats have less impact now.
• The strategist’s job, in their view, is to ask why an ad worked, what account patterns show, who is buying and what the data says to test next.
• Each ad becomes an opportunity to learn.

For brands planning a campaign

Use this post to justify a creative strategy line item or role in a DTC marketing budget. It frames the deliverable as learning and scaled winners, not just ad production volume.

Useful for understanding the person behind the method, including their commitment and current career stage.

Lauren Papon describes working as a creative strategist while bartending, calling this a transition between their current job and the career they’re building.

• They don’t want to return to bartending but treat the unwanted work as fuel to go all-in.
• They commit to “full throttle on creative strategy, content creation, and building the life I actually want,” and ask others building outside a 9-to-5 to relate.

For brands planning a campaign

Signals a creator who is actively building their practice and may be more available for hands-on paid-social projects than an established agency. The post also demonstrates content-creation ability: it’s a personal-brand asset aimed at people building careers.

Lauren Papon recaps Cannes Lions 2026, where they attended without a pass to join conversations.

• They mention time at a Dark Room villa with performance marketers from DTC brands including Triple Whale, Manychat and Wispr Flow; meeting people from Motion (Creative Analytics); meeting creative strategist Dara Denney; and visiting The Female Quotient lounge.
• They quote Keke Palmer on making opportunities for yourself and write that “being ready is a decision, not a feeling.”

For brands planning a campaign

Shows active participation in performance-marketing and creative-strategy networks, relevant for brands seeking a creator with current peer references and industry contacts. It also demonstrates a networking-first approach to professional development.

Their reasoning is comparative: commercials, billboards, and magazine ads are described as carrying far less leverage than paid social, and a dedicated person keeps the account from "leaving money on the table" by asking why an ad worked, what patterns the account shows, who is actually buying, and what the data says to test next. The framing is internal-facing — it reads like the case a strategist would make to a founder about hiring one.

For brands planning a campaign

Best suited to a brand where paid social is already the primary acquisition channel and the campaign involves justifying or shaping a dedicated creative strategy function, not just producing individual ads.

Examples: Source 1

Evidence comes first — past creative performance, market research, and the brand's actual buyers — and is followed by volume, but deliberately researched volume rather than "random sh*t." They state plainly that not every ad will work even with the research, that the point is to find a winner and then repeat and scale the idea, and they close by asking readers what their own process is for deciding what to make next.

Gather evidence from past creative performance, market research, and actual buyers; form a hypothesis; produce researched creative at volume; learn from results; iterate on and scale the winners.

They explicitly allow for ads that fail despite the research — failure is treated as part of the process rather than a signal to stop.

For brands planning a campaign

Expect a first deliverable that looks like a testing framework and a research-backed hypothesis set, not a single finished hero ad. Budget for multiple creative rounds so the iterate-and-scale step can actually happen.

Examples: Source 1

Lauren Papon tells readers to zoom out and look for the messaging that keeps winning, the parts of ads that consistently underperform, the consistent ICPs, and where the gaps are.

• Their claim is that no ad is wasted because each one provides clarity, and that the "secret sauce" is in the patterns — the goal being to reduce guesswork and work from evidence.
• The post ends with an open question about what patterns readers are seeing right now.

Zoom out across existing ad performance; identify winning messaging, persistent underperformance, consistent buyer profiles, and gaps; choose the next test from those patterns.

For brands planning a campaign

Works best with a brand that already has a body of ad history to analyze. Ask for past creative performance data during campaign planning; with little or no history, this approach has far less to work with.

Examples: Source 1

In the Cannes Lions 2026 recap, Lauren Papon describes attending without a pass and deliberately putting themselves in rooms — the Dark Room villa with performance marketing people from DTC brands, meeting people from Motion (Creative Analytics), meeting Dara Denney, and returning repeatedly to the Female Quotient lounge. The recurring message is that environment shapes outcomes and that being ready is a decision rather than a feeling, closing with planning for 2027.

This format offers little craft instruction; it is a networking and personal-growth narrative rather than creative strategy guidance.

For brands planning a campaign

Suited to employer-brand or awareness work where a lived industry presence matters, and useful as evidence of an active network in DTC performance marketing. For purely tactical creative work, weigh this format accordingly.

Examples: Source 1

The message is about commitment and momentum rather than method, and it ends by asking who else is building something outside a nine-to-five.

This personal-narrative post offers no operational advice a brand could apply directly.

For brands planning a campaign

Signals an early-career, building phase — plausible for smaller-scope, emerging-brand, or content-creation engagements. For a brand needing an established process at scale, ask for evidence of that experience; the posts don't document it.

Examples: Source 1

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Terri Holley's posts centre on UGC creator development, brand-side creator sourcing, and performance-based creator programs; Lauren Papon's focus is paid-social ad testing, ad-account pattern reading, and the case for a dedicated creative strategist inside a DTC brand.

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Jerry Novick's material centres on hook mechanics and specific metric thresholds, often in the context of the Motion Creative Analytics bootcamp; Lauren Papon's focuses on account-level pattern analysis and a research-hypothesis-test-learn-iterate process, with more emphasis on the creative strategist role and career building.

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Waleed Bin Wasim combines creative-strategy teaching with client acquisition, positioning, and agency-style audit offers; Lauren Papon focuses more on the internal creative-strategy function and ad-account diagnostics than on getting clients.

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Their posts describe working brand-side to source and hire creators, build creative strategy and mentor new talent, with brief and script writing named as the skills that improved most.

• They also run a free training framework, 60 Days to UGC, built around a nine-module Brand-Ready Lab, and say their UGC creator community passed 250 people.
• Two details make them a closer match than Lauren Papon for some brands: recent creative strategy work with food and skincare clients, the same DTC territory as a targeted creator program, and work on performance-based creator compensation as a vetted partner on a creator platform.
• Brands seeking a targeted creator program assembled and run, rather than a testing method applied to their own account, are nearer that brief.

The tradeoff is depth on the testing loop.

• The two posts reflect on shifting into brand-side work and recap a quarter: client industries, a platform partnership, community size, a training build and a personal note about teaching.
• They do not explain how a hypothesis is formed, tested and closed, and include no hook, hold, click-through or ROAS figures.
• For a brief that calls for a repeatable creative testing process, the method-and-pipeline evidence is the closer fit; for creator recruitment and management, this profile is more relevant.

Examples: Source 1 · Source 2

Their posts give explicit thresholds to steer testing: hook rate of 30% or above, hold rate over 20%, click-through rate of 2% or above, with 3% and higher getting special attention, conversion rate of 4% or higher, ROAS above 2.5 and ideally above 3.0, and a frequency signal around 3 as the point to refresh creative.

• They also give a decision rule for each pattern: iterate on concepts where hook and hold rates are strong but conversion or ROAS underperform, and cut or deprioritise concepts whose hook fails regardless of what happens downstream.
• One post breaks down a single ad, identifying the two elements that stopped the scroll and defining the hook's job as the first three seconds, with a good thumb-stop rate at 30% or above.
• Brands seeking a scored diagnostic of existing creative before funding more production are better served here.

The tradeoff is scope.

• This material is metric-first and hook-first: it shows how to judge an asset and when to retire it, but says less about gathering buyer and market research up front or running a repeated research-to-hypothesis cycle across an account.
• The thresholds are personal aims, not results delivered for named clients, and the setting is a creative-analytics bootcamp exercise.
• Treat them as a rubric to argue from, not a proven benchmark.
• Where the campaign needs the next test built from account history, these posts offer more scorecard than pipeline.

Examples: Source 1 · Source 2

One post examines a hair care brand that arrived asking about scaling tactics; the review found most creative spoke to existing customers, warm audiences and product-aware buyers, with only around a quarter built for new customers.

• The argument is that scaling requires creative for each awareness level, from unaware through ready to buy: a retargeting ad, product reminder and testimonial each do a different job from a cold-audience or education-led ad.
• The question shifts from how to scale to whether the creative funnel needed to scale exists.
• The same body of work covers positioning, with a specific version of the point: an offer that takes thirty seconds to explain loses to one that names the problem in a line.
• Brands wanting the leak located at the message and funnel level before making more ads are a closer fit.

The tradeoff is the evidence base: the posts offer a narrative of one client conversation and one coaching post, while the account of the deal closing is self-reported, with no independent record of what the creative funnel change produced.

• The awareness-level frame is a strong lens for choosing what to make next, but these posts do not provide the numeric thresholds Jerry Novick's do.
• The client-acquisition material is written for freelancers rather than brands buying specialist work.
• If account-history review, a hypothesis set and a learning memo are required deliverables, ask whether they are offered; these posts focus on message-and-funnel diagnosis.

Examples: Source 1 · Source 2