Define a target return range, holding period, and downside floor before browsing marketplaces, then memorialize them in a short one‑page checklist. Add disqualifiers like platform bans, unverifiable revenue, or founder‑dependent operations. I once walked from a “cheap” micro‑SaaS because churn exceeded growth; that simple rule saved months. Share your must‑haves and hard nos to sharpen the collective list.
Inventory weekly hours, core strengths, and available help, then match acquisition candidates accordingly. A solo content creator with ten focused hours can nurture a niche newsletter faster than maintaining a feature‑heavy app. Conversely, a developer with automation chops can streamline micro‑SaaS onboarding overnight. Write these realities down, avoid magical thinking, and message us if you want a printable worksheet to calibrate your constraints.
Pre‑commit to abandoning deals showing traffic spikes from giveaways, sudden sponsor concentration, or vague accounting. Decide your tolerance for single‑supplier risk, gray‑hat backlinks, and policy violations. I once reviewed a twelve‑thousand‑dollar newsletter with dazzling open rates, yet list swaps inflated engagement; skipping preserved capital and confidence. Tell us which warning signs you will never rationalize, so we can compare notes publicly.

Cross‑check payment processor exports, bank statements, tax filings, and platform dashboards over identical periods. Recreate monthly cohorts and reconcile net revenue after fees, chargebacks, and refunds. Demand view‑only access where possible. Ask for randomized raw invoices to sample against reported totals. Polite rigor signals seriousness and often reveals helpful sloppiness rather than fraud, enabling fairer pricing and a smoother transfer later.

Map true costs including software subscriptions, contractor retainers, ad fatigue, content refresh cycles, and founder time you must replace. Watch for misclassified expenses temporarily boosting profits, like unpaid taxes or deferred maintenance. In one micro‑SaaS, the “free” analytics tier was near usage caps; upgrade costs wiped twenty percent of margin. Build a complete expense ledger before you even discuss multiples.

Model downside cases: traffic drops by thirty percent, ad prices rise, sponsor churn accelerates, or app store policy changes. Adjust conversion, retention, and pricing, then examine payback and cash runway. If results scare you, that is good; either negotiate protections or pass. Share your favorite scenario assumptions, and we will compile a community playbook of realistic shock absorbers for tiny operations.





