Pipeline Velocity

Pipeline Velocity turns the activity recorded in Attio into a single forward-looking number that tells you how much revenue your pipeline can be expected to produce each day. Because it pulls together deal count, deal size, win rate, and cycle length at once, it exposes problems that any one of those figures would hide on its own. A pipeline that looks full can still have poor velocity if deals are sitting too long in a stage or converting at a low rate.

For a team running its sales process in Attio, watching velocity over time shows whether process changes, new playbooks, or pricing moves are actually speeding up revenue or just adding noise. It is also the lever you pull when you want to grow without simply adding more deals, since improving win rate or shortening the cycle raises velocity directly.

Sync your Attio deal records, stage history, and close outcomes into your warehouse, then compute Pipeline Velocity in KPI Tree from open deal count, average deal value, win rate, and average sales cycle length. Place it in a metric tree alongside its inputs so you can see which driver, deal size, conversion, or cycle time, is moving the number, and link it to deal conversion rate and deal age distribution to trace the cause of any change.

Assign RACI ownership in KPI Tree, typically with the sales lead as accountable and revenue operations as responsible, so there is a clear owner for the figure. Set a weekly or fortnightly review cadence that matches your sales cycle so the team can spot a slowdown early and act before it shows up in closed revenue.