Measuring Performance

Numbers are The Story

Lily Max is built for Performance Marketing teams that need results they can defend, with controlled experiments and validated results.

Google Shopping

+28%

Revenue lift for a large apparel brand using Lily-enriched product intelligence.

Matched-spend A/B test comparing Lily-enriched vs. existing Google Merchant Center feed.

Meta Advantage+

+21.4%

ROAS lift for a national footwear retailer at near-identical spend levels.

Matched-spend A/B with holdout group; cross-validated against Meta Conversion Lift Study.

Agentic + AI discovery

A top beauty brand is ranked as the #1 AI-recommended makeup choice in major shopping experiences.

A concise review of LLM recommendations for ChatGPT and Gemini.

Onsite search

+28.3%

Onsite revenue lift for a contemporary luxury brand with richer product attributes.

Statistically significant A/B test on onsite search results.

Proof from the brands building for AI commerce

Anonymized results from controlled experiments: matched-spend A/B tests and holdout validation across Google, Meta, and onsite.

A.L.C.Net sales +129%

How A.L.C. boosted full-catalog product discovery on Google

A.L.C. enriched its product attributes with Lily AI to expand discoverability across its full catalog, on-site and on Google, driving a major lift in non-branded search and net sales.

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thredUPSell-through +15%

thredUP increases sell-through by 15% with enriched product data

AI-driven deep tagging from Lily AI gave thredUP shoppers two to three times as many ways to search and discover its single-SKU inventory, lifting sell-through by 15%.

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Global luxury retailerRelevant results up to 30x

A global luxury retailer increases relevant results for descriptive searches by up to 30x

Over half of this retailer's on-site searches were attribute-heavy, long-tail queries its manual attribution couldn't serve. Lily AI's consumer-centric attributes increased relevant results by up to 30x.

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Large multi-brand retailer$22M projected revenue

A large multi-brand retailer boosts product discovery, projecting a $22M revenue increase

Richer Lily AI attribution lifted on-site discoverability 8.5% and search-driven demand 3.3% for a large multi-brand specialty retailer, projecting to a $22M revenue increase across brands.

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Large multi-brand retailerRPV +0.65% · $20-30M

Lily AI recommendations increase RPV by 0.65%, driving $20-30M in incremental demand

Layering Lily AI's granular attributes onto an existing Certona recommendation engine produced more relevant recommendations, lifting revenue per visit and order size for a $20-30M incremental-demand projection.

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Multi-brand apparel & accessories retailerUp to $48M projected revenue

Lily AI demand forecasting drives 7-8 digit revenue lift with accuracy at scale

Lily AI's visual-similarity models replaced manual proxy-product guesswork, cutting a retailer's forecasting cycle from three months to one and projecting a $7-48M topline revenue lift.

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Luxury home brandROAS boost in 2 weeks

How a luxury home brand boosted sales from Shopify site search and Google search

A top luxury home furnishing brand enriched its Shopify product content and GMC feed with Lily AI, lifting on-site revenue per visit, Google impressions, and ad clicks, with a ROAS boost two weeks after going live.

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TapestryDouble-digit search lifts

Tapestry boosts traffic and sales from Google Search with Lily AI

At CommerceNext 2024, Tapestry (parent of Coach) and Lily AI showed how enriching product attributes with customer-centric language drove high-single and double-digit lifts across SEM, SEO, and Site Search.

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