AI Tool Comparison
Comparing as AI Product Recommendations & PersonalizationTriple Whale vs Lily AI
Triple Whale
VS
Lily AI
Verdict by Category
Detailed Comparison
Feature
Triple Whale
Lily AI
Pricing
PaidFoundations ($129/month): Shopify + Meta + Google integration, summary dashboard, basic attribution, Moby AI. Standard ($249/month): Triple Pixel first-party tracking, cohort analysis, product analytics, LTV modeling. Pro ($499/month): advanced attribution models, Creative Cockpit, Sonar anomaly detection, API access. Premium ($749/month): custom attribution models, white-label for agencies, unlimited historical data. Annual billing saves ~17%. No free plan; demo available on request.
CustomLily AI uses a fully custom pricing model — there is no published rate card. Pricing is scoped around three variables: catalog size (number of SKUs), selected use cases, and number of markets or regions. Use cases that can be individually selected and priced include Google Shopping attribute generation, Meta catalog ads copy, SEO/AEO metadata, conversational commerce attributes, item setup and classification, and consumer product copy.
Cost per SKU generally improves as volume grows, since fixed setup costs spread across more items. More complex outputs (conversational descriptions) cost more per SKU than structured attribute sets. Localizing into additional markets adds processing cost on top of the base catalog price.
All plans include catalog ingestion and scoring, agentic enrichment of the highest-impact gaps, matched-spend A/B testing, and reporting with confidence intervals. Higher tiers add more channels, optimization cadence, support, and governance features. To get an exact quote, teams can use the pricing estimator on lily.ai/pricing or book a demo. A free 30-day pilot on 500 products is available — it includes catalog gap scoring and measured lift against a control before any broader commitment.
Categories
AI Marketing ToolsAI Productivity ToolsAI E-commerce Tools
AI E-commerce ToolsAI Marketing ToolsAI Developer APIs & Platforms
Summary
Shopify analytics and Moby AI copilot — unified attribution, creative insights, and conversational reporting for DTC
Agentic product intelligence engine — make every product AI-ready everywhere it sells
Triple Whale Pros & Cons
Pros
- Moby AI enables non-analyst marketers to interrogate complex cross-channel data in plain English — hours of reporting replaced by conversational queries
- Triple Pixel + server-side CAPI is the most robust first-party attribution recovery solution for Shopify DTC brands
- Unified cross-channel view combining Shopify, Meta, Google, TikTok, and email is unavailable natively in any single platform
- Creative Cockpit's hook rate and hold rate metrics give creative teams data-driven signals unavailable in Meta's native reporting
- Trusted by Sharma Brands, Common Thread Collective, and thousands of DTC brands managing significant Shopify revenue
- NFX and Tiger Global backing ($25.4M raised) signal strong product-market fit and long-term platform investment
Cons
- Primarily built for Shopify — limited native support for WooCommerce, Magento, or custom storefronts without workarounds
- Moby AI answers are only as good as the underlying data quality — poor tracking setup produces inaccurate answers
- Pricing ($129-749+/month) can feel steep for early-stage brands spending under $100K/month on ads
- Attribution modeling is probabilistic — not a perfect ground truth, especially for multi-touch cross-device journeys
- Advanced features (Cohort Analysis, Pixel) require higher-tier plans; base plan is fairly limited
- No B2B or SaaS use cases — purpose-built for DTC e-commerce only
Lily AI Pros & Cons
Pros
- Tested, not promised — every result is measured against a matched-spend control with confidence intervals, so lift claims hold up to CFO scrutiny
- Broad surface coverage — one enrichment layer improves Google Ads, Meta Ads, AI discovery (ChatGPT, Gemini, AI Overviews), and onsite search simultaneously
- Proven enterprise results — +28% Google Shopping revenue lift, +21.4% Meta ROAS lift, +28.3% onsite revenue lift from real customer A/B tests
- 4.9/5 on G2 — the highest-rated product in its category with reviews from performance marketing and e-commerce teams
- No replatforming required — Lily Max improves data quality inside existing feed managers and commerce stacks without replacing anything
- Female-led, founder-run company — Purva Gupta named EY Entrepreneur of the Year 2024 Bay Area finalist; $63.9M raised from Canaan, NEA, Conductive Ventures
Cons
- Custom pricing only — no public rate card; teams must go through a sales/demo process to get a quote, which adds procurement friction
- Primarily a B2B enterprise SaaS platform — not suited for small DTC brands or Shopify merchants without a significant SKU catalog
- Focused on product data enrichment rather than end-to-end campaign management — teams still need existing feed managers and ad platforms
- Results depend heavily on starting catalog quality — brands with very thin or poorly structured product data may need significant data preparation before seeing lift
- No self-serve free tier — the free offering is a scoped 30-day pilot on 500 products, requiring a demo call first
- Smaller team (~34-94 employees) than enterprise martech competitors like Salesforce or Adobe — limited regional support capacity