Frequently Asked Questions

Everything you need to know

Questions about GazeIQ, attention heatmaps, increasing ROAS, running better ads, pricing, and security—all answered here.

What is GazeIQ?

What is GazeIQ?

GazeIQ is an AI-powered ad creative optimizer. You upload a static ad image, and GazeIQ generates a predicted attention heatmap showing where viewers' eyes will go, an Attention Score (0–100) quantifying overall ad performance, and specific AI recommendations to improve CTA visibility, headline salience, and visual hierarchy—all before you spend a dollar on media.

What problem does GazeIQ solve?

Most ad budgets are wasted on creatives that fail to capture attention. GazeIQ predicts creative performance before launch—so you only promote ads where the CTA is visible, the headline is seen, and the layout guides viewers toward conversion. This directly increases CTR and ROAS without changing targeting or budget.

Who is GazeIQ for?

GazeIQ is built for performance marketers, growth teams, creative directors, and agencies who run paid social and display ads. It's particularly valuable for teams shipping more than 5 new creatives per week, managing significant monthly ad spend, or looking to systematize creative QA before launch.

What makes GazeIQ different from other ad analytics tools?

Most ad analytics tools measure performance after spend—they tell you what happened. GazeIQ predicts performance before spend—it tells you what will happen. This pre-spend intelligence is the core difference. You can identify and fix losing creatives before a dollar is committed, eliminating wasted creative testing budget.

Attention Heatmaps

What is an attention heatmap?

An attention heatmap is a color-coded visualization showing where human eyes are predicted to fixate on an image. Red and orange zones indicate high attention (where eyes go most); blue and green zones indicate low attention (areas viewers largely ignore). In advertising, this reveals whether your CTA, headline, and product are being seen.

How does GazeIQ generate attention heatmaps?

GazeIQ uses a deep neural network (based on the TranSalNet saliency architecture) trained on datasets of images paired with real human eye-tracking recordings. The model learns which visual features reliably attract gaze—faces, high contrast, text, structural prominence—and applies this learning to generate pixel-level attention predictions for any uploaded creative.

How accurate are GazeIQ's attention predictions?

GazeIQ's attention heatmaps achieve a 0.91 correlation coefficient with laboratory eye-tracking data collected from real participants. This means the AI prediction of where viewers look closely matches where real human eyes actually fixate in controlled studies—making it a reliable proxy for expensive eye-tracking research.

What does a 'hot zone' vs. 'cold zone' mean on a heatmap?

Hot zones (red/orange) indicate areas of high predicted attention—where viewers' eyes are most likely to fixate and dwell. Cold zones (blue/green) indicate low attention areas that viewers typically pass over without fixating. For maximum CTR, your CTA, headline, and key product elements should be in hot zones.

Can attention heatmaps predict conversion rates, not just clicks?

Heatmaps directly predict attention patterns, which strongly correlate with CTR. Conversion rate depends on additional factors (landing page, offer, audience match) that are post-click. However, if your CTA is invisible (cold zone), no landing page optimization will compensate—attention is the prerequisite for any conversion.

What image formats does GazeIQ analyze?

GazeIQ analyzes static images in JPEG, PNG, and WebP formats, up to 10 MB per file. This covers the vast majority of social and display ad creatives used in Meta, Instagram, and Google Display campaigns.

ROAS & Ad Performance

How does GazeIQ help increase ROAS?

ROAS is driven by CTR, conversion rate, and revenue per conversion. GazeIQ directly improves CTR by ensuring your CTA is visible, your headline is salient, and your visual hierarchy guides viewers toward action. Teams using GazeIQ report an average 34% CTR lift after applying attention recommendations—which translates to lower CPC and higher ROAS at the same budget.

What is a good Attention Score for an ad?

Scores above 75/100 consistently correlate with above-average CTR performance in our dataset. Scores between 60–75 indicate fixable issues—typically CTA placement or headline contrast. Scores below 60 indicate significant structural problems in the creative that will likely result in below-average performance. We recommend not promoting any creative scoring below 70.

How quickly will I see ROAS improvements after using GazeIQ?

CTR improvements are typically visible within 3–5 days of launching an attention-optimized creative versus a previous unoptimized version. ROAS improvements follow as lower CPC compounds over the campaign period. Most teams see measurable improvement in the first campaign cycle after applying GazeIQ recommendations.

Can GazeIQ help with Google Display ads specifically?

Yes. GazeIQ supports Google Display banner analysis for 300×250 (medium rectangle) and 728×90 (leaderboard) formats. The heatmap analysis is calibrated for the typical white publisher background environment where display ads appear—so you can see how your ad competes for attention against surrounding content.

Can GazeIQ help with Meta (Facebook and Instagram) ads?

Yes. GazeIQ supports Meta Feed (mobile) and Instagram Story contexts. Each platform receives platform-specific attention calibration—because scroll behavior, aspect ratios, and typical surrounding content differ significantly between a Facebook feed and an Instagram Story.

How does attention optimization compare to improving ad targeting?

Nielsen research places creative quality at approximately 70% of campaign performance variance, while audience targeting accounts for a smaller portion. If you've already refined your targeting, improving creative quality is typically the highest remaining lever for ROAS. GazeIQ addresses the creative quality component directly.

A/B Testing & Pre-Testing

What is the difference between A/B testing and creative pre-testing?

A/B testing splits live ad budget between variants and measures real click/conversion performance—it requires spending on losing variants while waiting for statistical significance (typically 1–2 weeks). Creative pre-testing uses AI attention predictions to rank variants before any spend—variants are scored and compared in under 2 minutes, with no media budget required.

How many variants can I pre-test at once?

GazeIQ supports A/B pre-testing of up to 5 variants simultaneously. Each variant receives an individual attention score, a radar chart comparison across 4 attention dimensions (CTA visibility, headline salience, product prominence, visual hierarchy), and AI recommendations for improvement.

Should I use A/B testing or pre-testing?

Use pre-testing (GazeIQ) to eliminate losers before spend—particularly for visual layout variants, CTA placement, and product composition changes. Use live A/B testing to validate the final top-performing creative against a control, or to test offer/copy differences that require real audience response. The optimal workflow is pre-test → optimize → launch winner → optionally validate with live test.

Can I share A/B test results with my team or clients?

Yes. GazeIQ generates shareable links for A/B pre-test results, so you can share heatmaps, scores, and radar chart comparisons with stakeholders without requiring them to have a GazeIQ account.

Pricing & Account

How much does GazeIQ cost?

GazeIQ offers a free tier with 3 scans included—no credit card required. Paid plans start for teams needing more scans, deeper AI recommendations (GPT-4o), and A/B pre-testing. See the Pricing page for current plan details.

Is a credit card required to start?

No. Your free account includes 3 scans with no credit card required. You only need to add payment information when upgrading to a paid plan.

What AI models power the recommendations?

The Starter plan uses Google Gemini for AI recommendations. Pro and Agency plans use GPT-4o, which provides more specific, detailed, and actionable suggestions tailored to your creative's attention data.

Do unused scans roll over?

No. Scan allocations reset at the start of each billing cycle. Unused scans from the previous period do not carry over.

Can I cancel my subscription anytime?

Yes. You can downgrade or cancel at any time from your account settings. There are no lock-in periods or cancellation fees.

Security & Privacy

Is my ad creative data secure?

Yes. All uploads are encrypted in transit (TLS) and at rest. We use signed URLs for accessing stored creatives, meaning only authenticated users can retrieve their files. Creatives are stored in geographically distributed, enterprise-grade object storage.

Are my creatives used to train AI models?

No. Your uploaded creatives are processed for analysis only and are not used to train GazeIQ's models or any third-party AI models. Your creative assets remain exclusively yours.

Who can see my uploaded ad creatives?

Only you (and other members of your team account, if applicable) can access your uploaded creatives and analysis results. We do not share your creative assets with any third parties except as necessary to provide the service (e.g., the inference API for heatmap generation).

How long are my creatives stored?

Uploaded creatives and their analysis results are stored for the duration of your account's active subscription. You can delete any creative from your account at any time. See our Privacy Policy for full data retention details.

Still have questions?

We're happy to answer questions about use cases, integrations, custom plans, or anything else.