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Proof B Live confirmed

TAF (The Athlete's Foot)

AI-automated sales campaign plus dynamic catalog ads, with prospecting and retargeting, measured incrementally

IndustryRetail & e-commerceLeverAcquisitionFamilyOptimization / automationImplementationMartech platformStageconsideration -> purchase
Pattern proven in 8 industries still untouched in Media & entertainment, Travel & hospitality, Food & beverage +5 See the pattern map
+165 %
Incremental ROAS on the add-to-cart event vs usual strategy
"165% increase in incremental ROAS for the Add to cart event" S1

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

+165 %
Incremental ROAS on the add-to-cart event vs usual strategy
"165% increase in incremental ROAS for the Add to cart event" S1
+15 %
Incremental conversions vs usual strategy
"15% increase in conversions with the Meta Advantage strategy" S1
16,2
ROAS of the Advantage+ Shopping campaign on add-to-cart
"16.2x ROAS from the Advantage+ Shopping campaign" S2

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 architecture
boucle d'optimisation en incremental Catalogue produit +signaux d'achat Feed produit + Pixel / Conversions API Catalog ads images etvideos Meta Advantage+ Catalog Ads IA Meta : audiences,encheres, placements,prospection + retargeting Meta Advantage+ Shopping Feed Facebook / Instagram+ Advantage+ placements Achat en ligne Mesure incrementale vsbusiness as usual Meta Conversion Lift

The 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
CadenceContinuous delivery, with a budget increase on Advantage+ campaigns; comparison to the usual strategy through incremental measurement.
Operated byThe agency Adsmurai with TAF's e-commerce team.
  1. 1
    Feed 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.

  2. 2
    Raise the Advantage+ budget Agency / Meta AI

    The budget of the Advantage+ Shopping campaigns is increased, with prospecting and retargeting driven by the AI.

  3. 3
    Compare 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 signal that drives it

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 studies

Le 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).

68%
Consommateurs qui se sentent leses (taken advantage of) quand les marques utilisent le pricing dynamique (2024)
80%
Consommateurs d'accord pour dire que les marques aux prix constants sont plus dignes de confiance (2024)
79%
Consommateurs ayant vecu des situations de prix inattendues sur un an (surge pricing, frais caches, hausses imprevues) (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

See full acceptance: by country, by use, by generation

How to replicate

Inference, not sourced

Data 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
Team to operate1 Meta media buyer + 1 creative profile for the catalog ads + 1 dev for Pixel/CAPI, or a Meta partner agency as in this case.

The plan, step by step

  1. Step 1
    Check 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.
  2. Step 2
    Produce 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).
  3. Step 3
    Launch, 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.
  4. Step 4
    Read 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

  1. S1 TAF x META - Case Study (Adsmurai, partenaire Meta) Interested party adsmurai.com · 2024-05-15 · accessed 2026-07-11 archive pending
  2. S2 Automation and performance: discover Meta Advantage solutions (cas TAF) Interested party adsmurai.com · 2024 · accessed 2026-07-11 archive pending
  3. S3 Meta Advantage+ Sales Campaigns: AI Automated Shop Ads Interested party facebook.com · 2024 · accessed 2026-07-11 archive pending