Meta (Facebook/Instagram)
Creative diversity and broad targeting feeding Advantage+, judged on cost per result.
AI Advertising Agency
The creative engine and the media engine, in one house.
We produce AI-native ad creative and run it across Meta, Google, AppLovin/Axon, and ChatGPT ads, one team accountable to ROAS, from the first hook to the last optimization.
One team
makes the creative and runs the media, accountable to one number
Five channels
Meta, Google and PMax, AppLovin Axon, ChatGPT and AI-search ads, TikTok
Weekly
new creative entering every account, so the auction never runs on fatigued ads
Trusted by brands that live and die by creative performance.
When the agency that makes the creative isn't the one running it, the feedback loop breaks, nobody's accountable to performance and nothing improves. We close that loop.
An AI advertising agency runs paid media on platforms whose auctions are now automated, Meta Advantage+, Google Performance Max, AppLovin Axon, and uses AI to produce the creative volume those systems reward. Because the machine owns bids and targeting, the agency's job is the levers the machine cannot own: creative, offer, measurement and account structure. WKND does the creative and the media in one house.
Not a PPC shop with an AI slide. Manual bid tweaking is not the work any more.
Not a creative studio that hands off. Creative without the account data behind it is a guess.
Not placement inside AI tools. For ads and visibility inside ChatGPT and Perplexity, see the dedicated program: advertise inside ChatGPT and Perplexity.
Creative diversity and broad targeting feeding Advantage+, judged on cost per result.
Asset groups, conversion value and budget protected from brand cannibalization.
ExploreIn-app performance that is almost entirely creative-fed and rewards volume.
ExploreA new placement with its own discipline, run by the same loop.
ExploreNative, hook-first creative produced at the cadence the platform burns through.
What "closed loop" means in practice, on a normal week in a WKND account.
01
creative-level results by hook rate, click-through, cost per result and frequency; winners, fatiguers and losers named.
02
the next batch written from the read, each creative with a hypothesis; exploitation of winners first, fresh concepts second.
03
AI-native statics, video and UGC-style clips, format-native for each placement, human-edited.
04
into a consolidated test structure with a fixed spend per creative and a fixed read window, so the learning is never starved.
05
budget follows proof, frequency is managed with fresh creative rather than caps alone, and the account's database grows by one week of evidence.
The reason this compounds is simple. The people writing the brief are the people who saw the numbers.
Compare that to the usual arrangement. A creative vendor delivers a batch a month, the media agency runs it until it fatigues, and the two meet on a call where each reads a different report. By the time a new hook is briefed, the account has spent weeks on tired creative. In one house the read on Monday is the brief on Tuesday, and the account never waits on a handoff.
Creative feeds media; media data feeds the next creative brief. That's why our accounts compound. Powered by our AI creative agency work, with AI ad creative and AI UGC feeding the account every week, inside the wider AI marketing agency program.
On Meta, creative diversity and broad targeting feed Advantage+ and the first three seconds decide everything. On Google, Performance Max runs on asset groups and conversion value, and the job is protecting the budget from brand cannibalization while feeding it strong assets; the platform detail lives on our Google Ads management page. On AppLovin, in-app performance is almost entirely creative-fed and rewards volume; the platform work is on our AppLovin Axon campaign management page. ChatGPT Ads management is its own discipline. Same loop, different inputs.
Advantage+, Performance Max and Axon decide bids, placements and, increasingly, audiences. Fighting that with manual settings is wasted effort. The advertiser's real controls are now creative, the offer and landing page, measurement the platform can optimize toward, and a structure that gives the algorithm clean signal. Every one of those is a thing we make or design, which is why the creative engine and the media engine belong in one house.
Each platform reports its own return, and the sum of those returns is always larger than reality. We report platform ROAS for optimization, blended MER and CAC for the business, and run holdouts or geo tests when a channel's true contribution is in question. The three numbers disagree by design; reading them together is the job.
Scaling is where accounts break. Raising budgets too fast resets learning; concentrating on one winner builds a dependency that fatigues; fragmenting into many small ad sets starves everything. We scale in steps the platform tolerates, keep several funded winners live, and hold the top creative under a set share of spend. Growth that survives the following month is the only growth we count.
Consolidated campaigns and ad sets give the algorithm enough conversions to learn and give us enough data per creative to judge. Testing runs in a fixed structure with a fixed spend floor, so a new creative is never killed for lack of budget or scaled on a lucky day. Attribution windows are set for the purchase cycle, seven-day click for considered buys, and held constant so the year-over-year read is honest.
Cost per acquisition inside the target, blended return above the floor the margin requires, several funded winners live with no single creative dominating, new creative every week, and a report the finance team trusts because platform, blended and incremental numbers are all on it.
Ninety days is the honest horizon. The first month sets measurement and structure and ships the first batch, the second scales what the read proved, and the third is when the loop has enough evidence behind it to show on one page. We say that on the first call so nobody is judging month one against a month-three number.
What it actually costs to acquire a customer across every channel, not one platform's version of it.
Total revenue against total spend, the number the business is run on.
Several proven creatives carrying spend, so no single asset can fatigue the account.
New creative entering the account every week, so the auction never runs on tired assets.
The internet is filling up with AI slop. We don't ship it.
Every asset is human-directed, briefed by strategists, refined by creatives, approved before it runs.
On-brand, always, your voice and guidelines are the guardrails the AI works inside.
Accountable to performance, if it doesn't earn its spend, it doesn't stay live.
By monthly spend, channels and creative cadence: spend sets the weekly creative volume, channels set the team, and whether WKND produces the creative decides the tier. Fee model stated before work starts.
We run and optimize the accounts on your creative: structure, measurement, testing and scaling.
We produce the creative and run the media, so the read on Monday is the brief on Tuesday.
Paid media and creative, plus the search and content work that carries the demand paid media creates.
Three things decide whether an account is working: the loop runs weekly, the spend scales without breaking, and the reporting can be trusted.
Creative and media on the same team, so the account never waits on a handoff between two vendors.
Closed loop, weekly
Scaling in steps the platform tolerates, with several funded winners live rather than one dependency.
Growth the account keeps
Platform return for optimization, blended MER and CAC for the business, holdouts when contribution is in question.
Three reads, one report
The working relationship
The people who read the numbers write the next brief, so nothing is lost in a handoff between vendors.
Spend moves to what the read supports, and losing creative is logged rather than quietly repeated.
Platform, blended and incremental numbers on one page, with anything estimated labeled as estimated.
Book a creative strategy call, we'll audit your current creative and show you what AI-native, performance-led production looks like for your brand.
A media director who owns the numbers and the structure, a performance creative director who writes the hypotheses from the read, and channel specialists for Meta, Google, AppLovin and AI-search ads. One loop, one report.
Owns the numbers and the structure: measurement, campaign architecture and where the budget goes.
Writes the hypotheses from the read, so every new asset enters the account with a reason to exist.
Meta, Google, AppLovin and AI-search ads, run inside one loop and reported on one page.
01
structure, measurement, what is live, what has fatigued
02
conversion value, windows, blended reporting agreed
03
consolidated campaigns, fixed test framework
04
hypotheses written, produced, launched
05
budget to proof, winners exploited, losers logged
06
growth the account keeps
An agency that uses AI across both creative production and media buying, making the ads and running them on paid channels, optimized on performance.
Meta, Google Ads/PMax, AppLovin/Axon, ChatGPT and AI-search ads, and TikTok.
Yes: that's the advantage. Our AI creative agency produces the ads, and we run them, so creative and media improve together.
Traditional PPC agencies optimize bids on creative someone else made. We own both, and creative is the biggest lever in AI-driven auctions.
ROAS, CAC, and MER, the numbers that move the business, not vanity metrics.
Book a creative strategy call, we'll audit your current creative and show you what AI-native, performance-led production looks like for your brand.