Meta Ads
Optimize your Meta Commerce Manager catalog for paid social discovery and conversion.
Lily Max enriches the product data Meta Ads depends on, then tests what actually lifts ROAS against a holdout.
Anonymized customer proof
+21.4%
Meta ROAS lift
A national sports retailer ran a Lily-enriched Meta Commerce Manager catalog against a matched control and holdout group.
- Spend gap
- $1.07
- Lift study
- Meta
- Validation
- Holdout
Catalog quality score
Before Lily optimizes a Meta catalog, it scores the product intelligence Meta has to work with.
Lily Max evaluates Commerce Manager catalog content against paid-social and catalog-ad best practices, then shows where enrichment can improve completeness, variant coverage, product-set readiness, and delivery quality.
Diagnose the catalog
Identify missing fields, weak variant signals, image or availability issues, and product-set gaps before enrichment work begins.
Prioritize paid-social work
Focus credits on the categories, products, and attributes most likely to affect Meta Ads performance.
Measure improvement
Track catalog quality before and after Lily enrichment, then connect improvements to ROAS tests and holdouts.
What it impacts
One enriched Meta catalog powers catalog-driven paid social.
Primary
Advantage+ catalog ads
Meta turns Commerce Manager catalog data into personalized product creative. Lily improves the product intelligence feeding that creative.
Primary
Dynamic retargeting
Product viewers and cart abandoners can be re-served cleaner, richer product data tied to the items they engaged with.
Expansion
Prospecting at scale
Better catalog attributes give Meta more product context for matching new shoppers to relevant items.
Expansion
Cross-sell and upsell
Product-set and variant intelligence can help structure related-item and higher-value catalog strategies.
Placements
Facebook, Instagram, Messenger
An enriched catalog gives paid social placements one more complete product source of truth.
Data quality
Catalog eligibility and freshness
Image, availability, price, and variant quality help reduce waste from stale or incomplete catalog records.
Meta Ads credits improve the Commerce Manager catalog layer. AI Discovery & Agentic credits complete the AI-readiness layer with schema, metadata, AI feeds, and bot-facing product content.
Anonymized Meta proof
Meta Ads lift should be measured against a holdout, not inferred from a before-and-after view.
The proof story for this page is anonymized from a national sports retailer: Lily-enriched catalog data, matched-spend design, holdout validation, and Meta Conversion Lift cross-check where available.
How to state the anonymized proof
- Customer
- National sports retailer
- Surface
- Meta Ads / Commerce Manager catalog
- Result
- +21.4% ROAS lift
- Spend control
- $1.07 difference between cells
- Validation
- Matched-spend A/B with holdout
- Cross-check
- Meta Conversion Lift Study where available
- 1Map the opportunityLily scans the Commerce Manager catalog for missing attributes, weak titles, variant gaps, image issues, and stale availability.
- 2Generate enrichmentsAgents create paid-social-ready titles, descriptions, attributes, product-set signals, and catalog-quality improvements.
- 3Launch the testA matched test group receives Lily-enriched catalog data while the control group keeps the existing catalog.
- 4Measure and scaleLily reports ROAS lift, confidence, and the next move: scale, iterate, or stop.
Start here
Start improving your Meta catalog in 30 days.
See where your catalog is leaking performance. Lily Max will identify missing product signals, prioritize high-impact catalog enrichments, and show where your Meta Commerce Manager catalog can improve first.
Trial preview
- Catalog quality sample
- 100 products
- Primary goal
- Meta ROAS lift
- Catalog source
- Commerce Manager
- Recommended test
- Holdout A/B
Frequently asked questions
How does Lily Max improve Meta Ads performance?
Lily Max enriches the product data in your Meta Commerce Manager catalog, then tests what lifts ROAS against a holdout. A richer catalog gives Meta better signal across Advantage+ and retargeting.
Which Meta Ads surfaces does an enriched catalog affect?
One enriched Commerce Manager catalog powers Advantage+ catalog ads, dynamic retargeting, and prospecting across Facebook, Instagram, and Messenger.
Does Lily Max work with Advantage+ catalog ads?
Yes. Advantage+ turns your Commerce Manager catalog into personalized product creative, and Lily Max improves the product intelligence feeding it, so Meta has stronger titles, attributes, and variants to work with.
Does Lily Max replace my catalog or feed tool?
No. Lily Max improves the quality of the product data your catalog already carries into Meta. There is no replatforming; it works inside your existing Commerce Manager setup.
How does Lily Max prove the Meta ROAS lift is real?
Meta lift is measured against a holdout, not a before-and-after view. Lily Max runs a matched-spend test with a holdout group, so the result reflects the catalog change, not added spend.
What is a holdout in Meta Ads testing?
A holdout is a group kept on the existing catalog while a matched group gets the enriched version. Comparing the two isolates the effect of enrichment from budget, audience, and seasonality.
How is this different from refreshing my catalog feed?
A feed refresh moves the data you already have. Lily Max improves the product intelligence that data carries, then proves which changes lift ROAS before they ship.
What results have brands seen on Meta with Lily Max?
In a matched-spend test with a holdout, a national sports retailer saw a 21.4 percent ROAS lift on Meta using a Lily-enriched catalog. Results vary by catalog and baseline quality.
How long until I see results on Meta Ads?
Most teams connect their Commerce Manager catalog and launch within days, then see results as the first holdout test resolves. Timelines vary by catalog size and quality.