Used For

• +**Your toy store sends baby formula coupons to teenagers** → AI sees in-store browsing data and sends relevant offers within minutes
• +**Loyalty points expire unused because customers forget they exist** → Gamified tiers with push notifications get people actually redeeming rewards
• +**Email campaigns get 2% open rates because everyone gets the same thing** → Behavioral triggers send different offers based on purchase history and store visits
• +Runs A/B tests on offers automatically - finds what actually drives repeat purchases vs what you think works
• +Connects all your channels - someone browses in-store, gets a follow-up text, redeems via app

Best For

• >Your retail chain is stuck sending the same coupon to everyone and wondering why retention sucks
• >You're paying agencies $50K to build rigid loyalty programs that take 6 months to change
• >Hit that sweet spot where manual segmentation breaks but you're not ready for Salesforce prices

Not For

• -Small businesses under 50 employees — you're paying for enterprise segmentation when you know all your customers by name
• -Companies wanting plug-and-play simplicity — this needs someone willing to learn customer segments and campaign logic
• -Bootstrapped startups watching every dollar — starts at enterprise pricing tiers, not indie hacker budgets

Pairs With

• *Shopify (pulls purchase data to trigger loyalty point rewards and personalized offers)
• *Klaviyo (handles the actual email sending while Capillary decides who gets what message)
• *Square POS (connects in-store purchases to app profiles so browsing triggers follow-up texts)
• *HubSpot (for the marketing automation that Capillary does for retail but HubSpot does better for B2B)
• *Segment (feeds clean customer data from all touchpoints into Capillary's AI engine)
• *Salesforce (where your sales team lives while Capillary handles the customer retention side)

The Catch

• !The ROI reports are notoriously unreliable according to users — inflated numbers that don't match your actual revenue
• !Segmentation filters aren't deep enough for complex customer targeting, so you'll still do manual workarounds
• !A/B testing features get complaints for being 'not useful' — the basics work but advanced testing falls short

Bottom Line

Built for retail chains that need their loyalty programs to work across stores, apps, and email without hiring a development team.