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Proof B Live confirmed

Oneisall

AI image generation for retail media creatives

IndustryCPG & D2CLeverAcquisitionFamilyGenerationImplementationMartech platformStagepurchase
Pattern proven in 8 industries still untouched in Media & entertainment, Travel & hospitality, Food & beverage +4 See the pattern map
+50%
Sales year over year
"50% d'augmentation des ventes" S1

Oneisall generated its Amazon Ads creatives with the image generator (genAI) in the UK in 2025 and reports sales up 50% year over year, ACOS down 22%, and share of voice up 50% on its main keyword category.

Key points

  • AI-generated lifestyle images to replace white-background visuals.
  • Amazon Ads Image Generator tool, served across Sponsored Brands, Products, and Display.
  • Sales up 50% year over year, ACOS down 22% in the UK.
  • Evidence B, confirmed status and an expanding tool.

Objective

Produce in-context ad visuals (products shown in a setting) with no studio or photo budget, to keep up with the pace of creatives that Sponsored campaigns on Amazon demand.

The deployment

Oneisall, a maker of connected pet products, used the Amazon Ads image generator to replace its white-background visuals with AI-generated lifestyle images. The advertiser starts from the product listing; the tool produces images that place the product in a setting, served in the Sponsored Brands, Sponsored Products, and Sponsored Display formats. In the UK market in 2025, the brand reports a 50 percent year-over-year increase in sales, a 22 percent drop in ACOS, and a 50 percent gain in share of voice on its main keyword category. This is a generation case: the AI produces the ad visuals, whereas bid optimization is a separate mechanism. Amazon also documents that ads showing the product in context can have a click-through rate 40 percent higher than white-background visuals.

Results Proof B

+50%
Sales year over year
"50% d'augmentation des ventes" S1
-22%
ACOS (advertising cost of sales)
"22% de reduction de l'ACOS" S1
+50%
Share of voice on the main keyword category
"50% de hausse de la part des voix" S1
jusqu'a +40%
Click-through rate, product in context vs white background (Amazon Ads data)
"click-through rates can be 40% higher" S2

Quantified Amazon Ads platform case study naming Oneisall and its Commercial Director; an official interested source, hence B. The tool and the order of magnitude of the creative gain are confirmed by Amazon's product communications.

How it works

Inferred typical approach

The internal detail is not public. Here is a proven approach that leads to the same result, to adapt to your stack.

images proposeescreation retenuemeilleures creations gardees Fiche produit Generation d'imageslifestyle Amazon Ads Image Generator Sponsored Brands /Products / Display Ventes, ACOS, part devoix Equipe retail mediaOneisall

The stack in detail

  • outil Amazon Ads Image Generator GenAI image generator integrated into the Amazon Ads console: it produces lifestyle visuals placing the product in a setting from the product listing. Underlying model not published by Amazon.
  • plateforme Sponsored Brands / Sponsored Products / Sponsored Display Amazon Ads formats in which the generated visuals are served and measured (sales, ACOS, share of voice).
  • outil AI Creative Studio Amazon Ads' genAI creative suite expanded in 2025 (images and video), the natural successor to the image generator for scaling up.

How it runs, concretely

For ops teams
CadenceBy campaign and by creative test: images are generated on demand when a new creative is needed, then put into rotation.
Operated byThe brand's retail media / marketing team, in the Amazon Ads console.
  1. 1
    Product selection marketing team

    The team picks the product listing from which to generate the visuals.

  2. 2
    Image generation AI (Amazon Ads Image Generator)

    The tool produces several lifestyle images placing the product in a setting.

  3. 3
    Campaign launch retail media team

    The selected visuals feed Sponsored Brands, Sponsored Products, and Sponsored Display.

  4. 4
    Measurement and iteration retail media team

    Tracking of sales, ACOS, and share of voice to keep the best creatives.

The signal that drives it

Creative performance (click-through rate, attributed sales, ACOS) that indicates which image to push. Without reading this performance, the generation runs with no improvement loop.

How your customers perceive this type of use

Sourced studies

Un ecart net separe les annonceurs des consommateurs : 77% des annonceurs voient l'IA positivement contre 38% des consommateurs (Yahoo/Publicis, 2024). Les mesures implicites confirment le rejet declare : en EEG, les pubs generees par IA produisent une activation memorielle plus faible que les pubs traditionnelles et sont decrites comme agacantes, ennuyeuses et confuses (NIQ, 2024). La disclosure a un effet ambivalent : elle augmente fortement la confiance quand elle est remarquee (Yahoo/Publicis), mais 27% des jeunes consommateurs disent faire moins confiance a une entreprise dont la pub est creee par IA (IAB, 2024).

77% vs 38%
Annonceurs qui percoivent l'IA positivement, contre 38% des consommateurs (2024)
72%
Consommateurs qui estiment que l'IA rend difficile de savoir quel contenu est authentique (2024)
+96%
Lift de confiance globale envers l'entreprise quand la mention IA d'une pub est remarquee (avec +47% d'attrait de la pub et +73% de credibilite de la pub) (2024)

Acceptance conditions

  • Une disclosure visible : quand la mention IA est remarquee, la confiance globale envers l'entreprise augmente de 96% (Yahoo/Publicis 2024)
  • Une qualite visuelle suffisante : les visuels IA de basse qualite augmentent l'effort cognitif et distraient du message (NIQ 2024)

Red lines

  • Le contenu IA non declare puis identifie : 72% des consommateurs disent que l'IA rend l'authenticite difficile a etablir (Yahoo/Publicis 2024) et les marques utilisant des pubs IA sont plus souvent jugees inauthentiques ou non ethiques par les consommateurs que par les dirigeants (IAB 2024)
  • Les mannequins et personnes generes par IA : 46% des consommateurs n'en veulent pas dans la publicite, l'inquietude premiere etant les standards de beaute irrealistes (Attest 2025)

Sources: Yahoo / Publicis Media (terrain Ebco) 2024 · IAB (avec Attest) 2024 · NIQ (NielsenIQ) 2024 · Attest 2025

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

How to replicate

Inference, not sourced

Data prerequisites

  • product listings on Amazon
  • access to the Amazon Ads console

Org prerequisites

  • retail media team able to test creatives
  • labeling process for generated visuals (AI Act)

Possible stack

  • Amazon Ads Image Generator
  • AI Creative Studio
Team to operate1 retail media lead (in-house or agency); no photo studio or data profile needed

The plan, step by step

  1. Step 1
    Pick a best-seller product and generate a series of lifestyle images from the product listing in the Amazon Ads console.Deliverable: 5-10 candidate visuals selected by the team
  2. Step 2
    Launch a Sponsored Brands test at equal budget: generated lifestyle visuals against existing white-background visuals.Deliverable: Test campaigns in rotation
  3. Step 3
    Read click-through rate, attributed sales, and ACOS; cut losing creatives, keep the winners.Deliverable: Documented test read with the retained creatives
  4. Step 4
    Extend to other products and to the Sponsored Products and Display formats, and set up the labeling process for generated visuals (AI Act).Deliverable: Library of genAI creatives + labeling process

First step: Generate lifestyle images for a best-seller product and test them in Sponsored Brands against the white-background visuals.

Sources

  1. S1 How Oneisall increased performance with generative AI Interested party advertising.amazon.com · 2025 · accessed 2026-07-11 archive pending
  2. S2 Amazon rolls out AI-powered image generation to help advertisers deliver a better ad experience Interested party aboutamazon.com · 2023-10 · accessed 2026-07-11 archive pending