Compare tools
Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
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standard.ai
✓ verifiedPaid
Computer-vision platform that turns existing retail security cameras into privacy-safe shopper traffic and engagement analytics.
5.5K visits/mo
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Triple Whale
✓ verifiedFreemium
AI-powered ecommerce data platform unifying marketing analytics, attribution, and an AI operator that acts on live business data.
1.3M visits/mo3.5K saves
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Creatify
✓ verifiedFreemium
AI video ad generator that creates and scales converting marketing videos, from a handful to thousands per month.
853K visits/mo5.2K saves
Pricing
No public pricing
Foundation: $219/month
Automate/Growth Pro tier: $1,290/month (example recommended plan)
Free trial available
No public pricing
Core features
- ✦Edge-based processing that keeps video local
- ✦Verified shopper impressions and engagement measurement
- ✦Zone-based traffic and layout performance analysis
- ✦Media and promotion lift measurement
- ✦Staffing and service-moment analytics
- ✦No facial recognition, privacy-first design
- ✦AI assistant (Moby 2) for insights, forecasting, and campaign actions
- ✦Multi-touch attribution and unified measurement (MMM, MTA, incrementality)
- ✦Pixel-based identity resolution capturing cross-device signals
- ✦75+ ready-made dashboards plus custom BI/SQL editor
- ✦60+ one-click integrations across the ecommerce tech stack
- ✦AI visibility tracking for brand mentions in AI search results
- ✦AI-generated video ads
- ✦Create from 10 to 10,000 ads per month
- ✦Ad Studio editor
- ✦API access
- ✦Used by 18,000+ brands and agencies
Use cases
- →Measuring in-store media and promotion effectiveness
- →Optimizing store layouts and merchandising placement
- →Analyzing staffing needs based on service interactions
- →Validating true foot traffic versus pass-through traffic
- →Ecommerce marketing leaders needing unified cross-channel reporting
- →Performance marketers wanting trustworthy attribution for ad spend decisions
- →Ops teams automating decisions like inventory or campaign scheduling from live data
- →Producing video ads for e-commerce
- →Scaling creative testing for agencies
- →Generating high volumes of ads
- →Marketing teams needing fast ad output
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