KPI Tree

Apollo Metric

Sales Engagement

Sales Cycle Length = Average(Close Date - First Apollo Touch Date)

Sales cycle length measures the average number of days from the first Apollo outbound touch to a closed-won deal. It captures the full duration of the outbound sales process, from initial sequence email to signed contract, and reveals how efficiently outbound-sourced deals move through the pipeline.

Full guide: definition, formula, and benchmarks
ApolloSales Engagement

Sales Cycle Length

Sales cycle length measures the average number of days from the first Apollo outbound touch to a closed-won deal. It captures the full duration of the outbound sales process, from initial sequence email to signed contract, and reveals how efficiently outbound-sourced deals move through the pipeline.

How to calculate sales cycle length

Sales Cycle Length = Average(Close Date - First Apollo Touch Date)

Why sales cycle length matters for Apollo users

Outbound-sourced deals typically have longer sales cycles than inbound deals because the prospect did not self-select. Understanding this difference is critical for accurate forecasting and pipeline planning. If outbound cycles are 30 days longer than inbound, pipeline generated today will not convert to revenue until a month later than equivalent inbound pipeline, which has direct implications for quarterly planning.

Sales cycle length also serves as a health indicator for the sales process. Lengthening cycles may indicate increased competition, more complex buying committees, or misalignment between the contacts being targeted and the decision-makers needed to close. Tracking cycle length by segment, deal size, and rep identifies where the process is efficient and where it needs intervention.

Understand and act on sales cycle length with KPI Tree

Join Apollo first-touch timestamps with CRM close dates in your warehouse. KPI Tree calculates cycle length for every closed deal with Apollo attribution, segmented by rep, deal size, persona, and industry.

Add sales cycle length as a key efficiency metric in your metric tree, feeding into pipeline velocity calculations. Assign ownership to AE managers, set alerts for cycle lengths exceeding historical norms, and compare cycles across segments to identify where process improvements could accelerate revenue.

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Related Apollo metrics

Sales Pipeline Velocity

Sales Engagement

Metric Definition

Pipeline Velocity = (Number of Opportunities x Average Deal Size x Win Rate) / Sales Cycle Length

Pipeline velocity quantifies the rate at which Apollo-sourced pipeline converts into revenue. It combines the number of opportunities, average deal size, win rate, and sales cycle length into a single metric that represents the revenue-generating capacity of the outbound motion per unit of time.

View metric

Win Rate

Sales Engagement

Metric Definition

Opportunity Win Rate = (Closed-Won Opportunities / Total Closed Opportunities) x 100

Opportunity win rate measures the percentage of Apollo-sourced opportunities that result in a closed-won deal. It is the ultimate effectiveness metric for the outbound motion, quantifying whether the contacts Apollo sequences engage actually convert into paying customers.

View metric

Opportunity Stage Analysis

Sales Engagement

Metric Definition

Opportunity stage analysis examines how opportunities sourced from Apollo outbound activity progress through CRM pipeline stages. It measures conversion rates between stages, time spent in each stage, and identifies where Apollo-sourced deals stall or drop out compared to other pipeline sources.

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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