How to clean up stale deals in your pipeline on Starch

Sales & CRM13 roles covered4 Starch apps

Stale deals are the quiet tax on a healthy pipeline. A prospect who went cold three months ago is still sitting in 'Proposal Sent.' A deal you mentally closed is inflating your forecast. Someone on your team last touched a contact in six weeks and nobody noticed. Pipeline hygiene — the regular work of auditing, updating, and culling the deals that aren't moving — is one of those tasks that always feels less urgent than the next call, until your forecast is off by 40% and you can't explain why.

What this looks like in practice varies. If you're running a high-volume outbound motion, stale deals are a data problem — hundreds of contacts at unknown stages. If you're managing a handful of high-value relationships, stale means you forgot to follow up after a promising conversation three weeks ago. The shape of the problem differs; the core job is the same: see what's actually in your pipeline, decide what to do with each deal, and act.

On Starch, you end up with a live view of your pipeline that surfaces deals by last activity, flags anything untouched past your threshold, and drafts the follow-up for you. You're looking at a dashboard that shows 'eight deals with no contact in 30+ days' — not a spreadsheet you exported, not a report you had to configure. You click a deal, see the full email thread, and send a follow-up in one step.

Sales & CRM13 roles covered4 Starch apps
Context

Why it matters

Why this is hard today

A bloated pipeline lies to you. Inflated deal counts and fake close dates make forecasts optimistic, make resource allocation wrong, and make it harder to see where you actually have momentum. Operators who do pipeline hygiene weekly close more deals — not because cleaning up magically revives stale leads, but because it forces honest prioritization. You spend time on deals that can move, not ones that have been dead since Q3.

Watch out for

Common pitfalls

Where this usually goes wrong

The most common mistake: treating 'last updated' as a proxy for 'last contacted' — someone changed a field without actually talking to the prospect. Second: no agreed-on definition of 'stale' — if the threshold is fuzzy, nothing ever gets marked dead. Third: purging stale deals instead of archiving them — six months later you can't tell whether a lost deal was ever worked or just abandoned. Fourth: doing this quarterly instead of weekly, so the cleanup project takes a full afternoon rather than fifteen minutes.

Toolkit

Starch apps used

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