How Revamp Doubled ILGM Flow Revenue

Context

Revamp implemented personalized lifecycle flows across Browse, Cart, Abandoned Checkout, and Churn stages for ILGM, replacing templated emails with customized messaging based on grower location, season, and product preferences.

The Challenge

ILGM was a leading home cannabis cultivation supplier, but sent identical emails regardless of purchase history, strain preferences, or grower experience level. First-time buyers lacked educational content for success, and seasonal factors, critical to this product category, were absent from messaging.

The company needed flows that addressed different grower experience levels, recommended products based on actual purchase behavior, and incorporated location-specific climate data.

The Solution

Revamp distributed traffic across the abandonment series, analyzing purchase history, weather data, and customer feedback. Within seven days, ILGM observed 100% increases in RPR, click-through rates, and open rates.

Results were validated through 50/50 A/B testing in Klaviyo against ILGM's existing control flows. The platform's seasonal flexibility enabled adaptation for peak moments like 4/20 and Black Friday without flow reconstruction.

Four Personalized Flows Deployed:

• Browse Abandonment: +159% revenue lift, with messaging tuned to grower experience level and strain preference.
• Cart Abandonment: +110% revenue lift, referencing the specific seeds and supplies left behind.
• Browse Revenue: +153% lift across the full browse flow.
• Churn Recovery: Seasonal triggers re-engaged lapsed growers around their planting calendar.

Tech Stack: Revamp AI (AI Personalization Engine) · Klaviyo (Email Orchestration).

The Impact

Every flow was validated through rigorous 50/50 A/B testing in Klaviyo against ILGM's existing control flows, with Revamp's AI variant winning consistently. Within seven days of deployment, ILGM saw 100% increases in RPR, click-through rates, and open rates across the personalized flows. The seasonal flexibility of the platform allowed adaptation for peak moments like 4/20 and Black Friday without reconstructing the underlying flows.

Conclusion

ILGM proved that even in highly regulated, seasonal categories, AI personalization can double flow revenue without rebuilding the email program. By layering grower experience level, strain preference, weather, and seasonality into every send, Revamp turned ILGM's lifecycle program into a genuinely one-to-one conversation with every grower.