The annual dollar drain of slow support.
Plug in your MRR, churn rate, and response-time gap. The math runs live. The break-even point against an AI Support Department sits at the bottom of the page.
The numbers above run for hundreds of EOI clients.
If the avoidable slice is meaningful, apply for a 14-day support sprint. If you want to talk through the assumptions first, see the full AI Support Department offering.
// How the math runs
Annual revenue: MRR × 12. Annual churned revenue = annual revenue × monthly churn %. This is the dollar value of customers leaving over a full year at your current rate.
Response-time correlation: public research from Harvard Business Review on lead and support response time, and from SaaStr on retention curves, shows a roughly linear relationship between first-reply latency and churn beyond the first hour. We use a conservative slope of 0.08% additional monthly churn per hour of wait, capped at 5% monthly so the model stays honest at extreme inputs. The HBR study on response time found a 7× drop in qualification odds when first reply slipped past an hour; the support side of that same dynamic shows up as retention loss.
Avoidable slice: the portion of total annual churn attributable to the response-time gap. Bounded by total annual churn so it never exceeds the real loss. This is the number the AI Support Department actually attacks.
AI Support Department cost: reference retainer of $7K/month, $84K annual. Smaller than two part-time support reps fully loaded. Sub-minute reply on routine tickets, 24/7 coverage, live in 14 days. See the full offering for the engine and the pricing line.
Break-even: the percentage of annual revenue the retainer represents. Anything you recover beyond that point is net retained revenue. On most $1M+ ARR books the break-even sits below 1% of revenue, which is well under the avoidable slice the model surfaces.