The math is the answer. Astra runs it in 30 minutes.
You'd think this needs a CFO and a 2-week pricing committee — Astra runs the unit economics, churn model, and competitive positioning in 30 minutes.
Astra answers 'should I match a competitor price drop' by running 4 calculations in parallel. (1) Unit economics: at the new price, what's your gross margin and LTV/CAC? She pulls live Stripe + Mixpanel data to model. (2) Churn risk: how many existing customers will downgrade or churn if you DON'T match (cohort analysis on your last 6 months of churn comments mentioning competitor pricing)? (3) Acquisition impact: what's your projected new MRR loss/gain at the new price (Mixpanel lead-to-paid conversion × LinkedIn ad CPM at the new price point)? (4) Brand positioning: are you the premium choice or the value choice — does matching erode your positioning? She returns a 1-page Notion doc with the recommended decision (match / hold / partial match) plus the dollar impact at 30/90/180 days. Most of the time the answer is 'don't match, here's what to do instead.'
Stripe MRR, gross margin per cohort, blended LTV. Model the new price across your top 3 plans. Compute LTV/CAC if you matched.
Pull last 6 months of cancellation reasons from Intercom + Stripe portal. Count mentions of competitor name + 'pricing'. Project 3-month churn delta if pricing gap widens.
Mixpanel landing-to-paid conversion × current new-MRR run rate. Model conversion lift at lower price (price elasticity benchmark for your category).
Where do you sit in the market — premium, mid, value? Pull review data from G2 + Capterra. If you're positioned premium, matching erodes positioning. Quantify the brand cost.
1-page Notion doc: recommended action (match/hold/partial), dollar impact at 30/90/180 days, alternatives if not matching (feature differentiation, bundling, segment-specific pricing).
1-page Notion decision doc: match/hold/partial recommendation, dollar impact at 30/90/180 days, alternative tactics if not matching.
On-demand, 30-min turnaround.
We'll spin up your workspace, hand the prompt to Astra, and you see the answer in 60 seconds. Free.
Try this with AstraClear answers about wallet credit, usage, subscriptions, and how Tycoon charges for work.
She'll flag it and use category benchmarks instead (price-driven churn typically 15-25% of total churn in SaaS). The recommendation will note the lower confidence and suggest auto-tagging cancel reasons going forward so the next decision has stronger data.
Tell her the strategic context — 'we're in a land-grab phase, customer count matters more than ARPU' — and she'll re-weight. The recommendation factors in your stated priorities. Math doesn't override strategy; it informs it.
Yes. She'll model 30/60/90-day promo windows, segment-specific discounts (only new customers, only annual plans), or feature-gated tier introductions. Each scenario gets a dollar impact projection so you can pick the lowest-risk move.
Don't be the first to react. Astra's default recommendation is to wait 14 days unless you're losing >2 deals/week to the gap. Most price drops get rolled back within 60 days when the competitor sees the margin damage. If they hold, you can react later with full information.