KPI Tree

Apollo Metric

Sales

Pipeline Velocity = (Number of Open Deals x Win Rate x Average Deal Size) / Average Sales Cycle Length in Days

Pipeline Velocity measures how much revenue moves through your Apollo pipeline over a given period, combining the number of open opportunities, the average deal size, the win rate and the average sales cycle length. Using Apollo deal stages, sequence engagement and task activity, it shows how fast qualified contacts convert into closed revenue. A higher value means deals are progressing faster and producing more revenue per unit of time.

Full guide: definition, formula, and benchmarks
ApolloSales

Pipeline Velocity

Pipeline Velocity measures how much revenue moves through your Apollo pipeline over a given period, combining the number of open opportunities, the average deal size, the win rate and the average sales cycle length. Using Apollo deal stages, sequence engagement and task activity, it shows how fast qualified contacts convert into closed revenue. A higher value means deals are progressing faster and producing more revenue per unit of time.

How to calculate pipeline velocity

Pipeline Velocity = (Number of Open Deals x Win Rate x Average Deal Size) / Average Sales Cycle Length in Days

Why pipeline velocity matters for Apollo users

For a team running outbound in Apollo, Pipeline Velocity ties sequence and prospecting effort to the rate at which revenue actually arrives. It exposes whether the deals created from your contacts and campaigns are moving or sitting still, which a raw count of open opportunities never reveals.

Watching velocity over time lets you see the effect of changes to targeting, messaging or qualification. When the number drops, you can isolate whether it is win rate, deal size or cycle length that has slipped, and act on the specific lever rather than guessing.

Understand and act on pipeline velocity with KPI Tree

Sync your Apollo deal, contact and sequence data into your warehouse and compute Pipeline Velocity in KPI Tree, drawing the four inputs from Apollo deal stages, closed-won history and cycle timestamps. In KPI Tree you can place it in a metric tree alongside average deal size and contact engagement score so the drivers of velocity sit one level below it and any movement is traceable to its source.

Assign RACI ownership so a sales lead is accountable for velocity while reps stay responsible for the underlying deal hygiene in Apollo, and set a weekly or fortnightly review cadence in KPI Tree to catch slowdowns while there is still time to act.

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Data Warehouse
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Professional Services
FivetranSnowflakedbt

Our professional services team can build you turn-key AI foundations in a matter of weeks. Data warehouse on Snowflake/BigQuery, ELT with Fivetran, all modelled in dbt with a semantic layer.

Related Apollo metrics

Average Deal Size

Sales Engagement

Metric Definition

Average Deal Size = Total Revenue from Apollo-Sourced Deals / Number of Closed-Won Deals

Average deal size is the mean monetary value of closed-won opportunities that originated from or were influenced by Apollo outbound activity. It provides a benchmark for the revenue quality of pipeline generated through sequences, calls, and email campaigns.

View metric

Contact Engagement Score

Sales Engagement

Metric Definition

Contact engagement score is a composite metric that quantifies how actively a contact is interacting with your outbound efforts. It weights email opens, link clicks, replies, call connections, and meetings booked from Apollo sequences to produce a single score indicating buying intent and responsiveness.

View metric

Account Penetration Rate

Sales Engagement

Metric Definition

Account Penetration Rate = (Contacts Engaged / Total Identified Contacts in Account) x 100

Account penetration rate measures the percentage of identified decision-makers and influencers within a target account that have been contacted and engaged through outbound sequences. It quantifies multi-threading effectiveness by comparing contacted stakeholders against the total addressable buying committee.

View metric

Contact Lifecycle Analysis

Sales Engagement

Metric Definition

Contact lifecycle analysis tracks how contacts move through defined stages of outbound engagement: from initial list addition, through sequence enrolment, first touch, engagement, meeting booked, and opportunity creation. It identifies bottlenecks, drop-off points, and the average time contacts spend in each stage.

View metric

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