Predict which product creative will scale to 4×–6× ROAS before a dollar hits Meta or Google. Pre-test packshots, UGC, and lifestyle variants with AI attention heatmaps built for high-volume ecommerce teams.
Performance marketing for DTC and ecommerce isn't a targeting problem anymore—Advantage+ and Performance Max handle most of that. Creative is now the primary lever, and it's the one teams have the least visibility into.
Most ecommerce brands need 20–40 new creatives per week just to fight fatigue on Meta. Designers ship in volume, but only 10–20% of variants become scalable winners. The rest burn spend before your analytics dashboard can flag them.
Advantage+ Shopping and Performance Max pull your product feed with zero regard for whether the packshot converts. If your hero product shot has poor visual hierarchy or a weak focal point, it drags down ROAS across the entire catalog—and you can't tell which SKU is the leak.
A hero lifestyle shot that crushes on Meta Feed can flop in a 300×250 Google Display slot, where attention patterns, dwell time, and viewer intent differ sharply. Most brands reuse creative across platforms and accept the performance tax without realizing why.
Black Friday, back-to-school, and holiday pushes compress six weeks of creative iteration into one. A 3× ROAS brand running seasonal creative with an invisible CTA can lose tens of thousands before the first dashboard refresh.
Five capabilities built for the way ecommerce teams actually operate—high volume, catalog-driven, fatigue-sensitive, and always optimizing against ROAS targets.
Upload your lifestyle shot, packshot, UGC, offer-led variant, and seasonal edit. GazeIQ returns an attention score 0–100 for each, with sub-scores for CTA visibility, headline salience, product focus, and visual hierarchy—so you know which variant to scale before launch.
Sample 10–20 packshots from your feed and score them as a batch. Identify which SKUs have weak product focus or low contrast against typical feed backgrounds, then apply a single treatment fix across the rest of the catalog.
Every scan runs in the actual platform context—Meta Feed, Instagram Story, Google Display 300×250 or 728×90—so you see how your creative behaves where it actually runs, not in a generic preview.
Pro-tier GPT-4o recommendations give you specific fixes: enlarge the product by 15%, move the price badge from bottom-right to top-left, increase CTA contrast from 3.1 to 4.5. No generic advice, just the edit to make next.
Score new creative variants against your winning historical controls. When attention scores for new variants start trending below your baseline, you catch fatigue before CPMs climb and ROAS drops.
Three realistic scenarios where attention-based pre-testing changes how an ecommerce team allocates creative budget.
Before a seasonal launch, an apparel brand uploads 8 model-plus-product hero shots for Meta Feed. GazeIQ ranks them by attention score. The two variants where the model's gaze leads the viewer toward the product and CTA score 82 and 79; the other six score below 65. The team promotes only the top two, saving roughly $6,000 in exploratory spend.
A consumer electronics brand sees a 2.1× ROAS on a new Black Friday creative—below their 4× target. The heatmap shows the price badge is in a low-attention zone in the bottom-right corner. Moving it to the top-left and increasing contrast lifts the predicted attention score from 58 to 81. After redeploy, CTR moves from 0.9% to 1.6%.
A skincare brand running Advantage+ Shopping samples 15 packshots from its feed. GazeIQ flags 6 SKUs where the product occupies less than 40% of the frame. The team crops and re-shoots those 6 packshots. Catalog-level ROAS lifts from 3.4× to 4.8× over the next 30 days as those SKUs start pulling their weight.
Average CTR lift on Meta Feed product ads after applying attention recommendations
Typical ROAS on creatives scoring 75+ vs. 2.9× on sub-65 creatives in retail benchmarks
Less exploratory budget spent on losing variants when teams pre-test before launch
“One DTC beauty team we worked with was shipping 30+ creatives per week and relying on live spend to sort winners from losers. After routing every new creative through attention pre-testing, they cut their weekly exploratory budget by roughly half while holding blended ROAS above 4×. The team now uses attention scores as a hard gate before anything goes live.”
Hypothetical scenario illustrating typical ecommerce outcomes. Individual results vary.
Most ecommerce teams run their first product creative through GazeIQ in under five minutes.
Drop in a PNG or JPG of your next Meta Feed, Instagram Story, or Google Display ad. Free tier gives you 3 scans—no credit card needed.
In under 10 seconds, see where viewer eyes will land, your overall attention score, and sub-scores for CTA visibility, headline salience, and product focus.
GPT-4o powered suggestions tell you exactly what to fix. Pre-test up to 5 variants and scale only the winning creative.
Catalog ads feed product images straight from your Shopify or Commerce Manager, which means your creative treatment—lifestyle shot vs. plain packshot, hero product positioning, badge placement—applies across hundreds of SKUs at once. GazeIQ lets you score a sample of product images, identify which treatments win the first fixation, and apply those rules across your feed before you ship them into a Meta Advantage+ Shopping campaign.
Yes. Pro and Agency tiers support high-volume testing with batch uploads of up to 5 variants at a time, and results return in under 10 seconds per creative. A 40-creative-per-week ecommerce team typically runs them through GazeIQ during the QA step, keeps anything scoring 75+, and sends weak variants back to design before they ever reach ads manager.
It works for Meta Feed, Instagram Story, and Google Display (300×250, 728×90). For Google Shopping specifically, the product-level attention score is the most useful signal—it tells you whether viewers will register your product vs. a competitor's SKU in a merchant listing. For Performance Max, run your static display assets through GazeIQ before uploading them as asset group creative.
Live A/B tests on ecommerce creatives typically need $500–$2,000 per variant to reach significance, and most creative tests take 7–14 days. Pre-testing with attention scores ranks your variants in minutes before any spend, so you only pay to scale winners. It doesn't replace live testing—it filters out the obvious losers so your live tests compare viable candidates.
Upload your Meta, Instagram, or Google Display creative. Get an attention heatmap, score, and specific AI fixes in under 10 seconds.
No credit card required · 3 scans included · Cancel anytime