TAF (The Athlete's Foot)
AI-automated sales campaign plus dynamic catalog ads, with prospecting and retargeting, measured incrementally
In 2024, TAF (The Athlete's Foot), a sneaker leader in Mexico, achieved +165% incremental ROAS and a 16.2 ROAS on add-to-cart by raising the budget of its Meta Advantage+ Shopping campaigns, measured against its usual strategy.
Key points
- Budget increase on AI-automated sales campaigns, measured incrementally.
- Meta Advantage+ Shopping and Catalog Ads stack, measured with Conversion Lift.
- Incremental ROAS +165%, conversions +15%, 16.2 ROAS on add-to-cart.
- Evidence B, confirmed status, case study from Meta partner Adsmurai.
Objective
Increase online sneaker sales by raising the budget on AI-automated campaigns, while verifying the real gain incrementally.
The deployment
TAF, The Athlete's Foot, presented as a leader of the sneaker market in Mexico and Latin America, worked with the agency Adsmurai to push its sales campaigns on Meta. The strategy consisted of raising the budget of Advantage+ Shopping campaigns, where the AI chooses audiences, placements, and creatives from the product catalog, with Advantage+ Catalog Ads combining quality images and videos, and a prospecting and retargeting logic. The setup was compared to the usual strategy (business as usual) and measured incrementally. On the add-to-cart event, the Meta Advantage strategy delivered 165 percent more incremental ROAS and 15 percent more incremental conversions, with a 16.2 ROAS on the Advantage+ Shopping campaign and an incremental ROAS close to 2x. The case was picked up by Meta as an example of maximizing sales with Advantage+ campaigns.
Results Proof B
Case study from a Meta partner (Adsmurai), quantified, with a strategy compared incrementally and a named person, picked up by Meta; published by the integrator, not corroborated by a primary or independent press source.
How it works
Documented architectureThe stack in detail
- plateforme Meta Advantage+ Shopping Campaigns Meta's AI-automated sales campaigns: audiences, bids, placements, and creative combinations driven by the algorithm, prospecting and retargeting included.
- outil Meta Advantage+ Catalog Ads Dynamic catalog ads combining images and videos from the product feed.
- outil Meta Pixel + Conversions API Reporting of purchases and add-to-cart that serves as the optimization signal for the algorithm.
- outil Meta Conversion Lift Incremental measurement of the setup against the usual strategy (business as usual).
- integrateur Adsmurai Meta partner agency that drove the strategy, the creatives, and the measurement.
How it runs, concretely
For ops teams-
1Feed the catalog and creatives Agency / creative team
Product feed plus Advantage+ Catalog Ads in quality images and videos, with optimized calls to action. The algorithm tests the combinations.
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2Raise the Advantage+ budget Agency / Meta AI
The budget of the Advantage+ Shopping campaigns is increased, with prospecting and retargeting driven by the AI.
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3Compare to the usual strategy Agency / Meta
The gain is read incrementally against business as usual, on the add-to-cart event, not on the displayed ROAS alone.
The purchases and add-to-cart events reported by the Pixel and the Conversions API. Without this signal, the algorithm optimizes on noise and the incremental ROAS collapses.
How your customers perceive this type of use
Sourced studiesLe pricing algorithmique est le terrain le plus inflammable : 68% des consommateurs disent se sentir leses quand les marques utilisent le pricing dynamique et 80% jugent plus dignes de confiance les marques aux prix constants (Gartner, 2024). L'equite percue varie selon le secteur : le pricing dynamique n'est juge juste que par 33% a 40% des repondants selon qu'il s'agit de concerts ou de cinemas (YouGov, 17 marches). Le prix personnalise par les donnees individuelles est le plus rejete : 47% des Americains s'y opposent fermement (Consumer Reports, 2024).
Acceptance conditions
- La constance des prix comme signal de confiance : 80% jugent plus fiables les marques aux prix stables (Gartner 2024)
- Le secteur conditionne l'equite percue : le pricing dynamique est mieux tolere pour les cinemas (40% le jugent juste) que pour les concerts (33%) (YouGov 2024)
Red lines
- Le pricing dynamique percu comme abus : 68% se sentent leses (Gartner 2024)
- Le prix individualise a partir des donnees personnelles : 47% d'opposition ferme (Consumer Reports 2024)
- Les frais caches et hausses imprevues, vecus par 79% des consommateurs sur un an et associes a la perte de confiance (Gartner 2024)
Sources: Gartner 2024 · YouGov 2024 · Consumer Reports 2024
How to replicate
Inference, not sourcedData prerequisites
- Clean and up-to-date product catalog (feed)
- Pixel + Conversions API with reliable purchases and add-to-cart
- Sufficient volume for an incremental test against business as usual
Org prerequisites
- Bank of catalog creatives, images and videos
- Willingness to raise the budget on the automated setup and let the learning run
Possible stack
- Meta Advantage+ Sales Campaigns + Catalog Ads + CAPI
- Conversion Lift or geo-test as the arbiter
The plan, step by step
- Step 1Check the data prerequisites: clean and up-to-date catalog feed, Pixel and Conversions API reliably reporting purchases and add-to-cart.Deliverable: Validated event audit and ready feed.
- Step 2Produce the catalog creatives (images and videos), set up the Advantage+ Shopping campaign, and frame the incremental test against business as usual.Deliverable: Campaigns ready and measurement protocol (Conversion Lift or geo-test).
- Step 3Launch, let the learning run without touching the settings, and raise the budget gradually.Deliverable: Campaign out of the learning phase with the target budget reached.
- Step 4Read the incremental result (ROAS, conversions) and decide on the budget shift.Deliverable: Incremental report vs business as usual and allocation decision.
First step: Shift part of the budget to an Advantage+ Shopping campaign with catalog ads, and measure the incremental gain against the usual structure.
Sources
- S1 TAF x META - Case Study (Adsmurai, partenaire Meta) Interested party archive pending
- S2 Automation and performance: discover Meta Advantage solutions (cas TAF) Interested party archive pending
- S3 Meta Advantage+ Sales Campaigns: AI Automated Shop Ads Interested party archive pending
An error, newer info, a source?
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