List Performance Analysis
List performance analysis evaluates how contacts and companies within Attio's lists and filtered segments perform across engagement and pipeline metrics. It compares lists head-to-head on conversion rates, deal sizes, and sales velocity to determine which segmentation strategies produce the best outcomes.
Attio metric
List performance analysis evaluates how contacts and companies within Attio's lists and filtered segments perform across engagement and pipeline metrics. It compares lists head-to-head on conversion rates, deal sizes, and sales velocity to determine which segmentation strategies produce the best outcomes.
Full guide: definition, formula, and benchmarksWhy List Performance Analysis matters for Attio users
Attio's list and filtering capabilities make it easy to create targeted segments, but without performance tracking, list creation becomes a set-and-forget exercise. Teams build lists based on criteria they believe will work but rarely validate whether those lists actually produce better outcomes than alternatives. Performance analysis closes this feedback loop.
List performance data directly informs targeting strategy. When you can see that contacts in your "Series B SaaS" list convert at three times the rate of your "Enterprise Manufacturing" list, you can reallocate outreach effort accordingly. This evidence-based approach to segmentation is far more effective than periodic, intuition-based list reviews.
Driver
Conversion rate
Outcome · 58% contribution
Revenue
Understand and act on List Performance Analysis with KPI Tree
Land Attio list membership data alongside engagement and pipeline records in your warehouse. KPI Tree calculates performance metrics per list, comparing conversion rates, deal sizes, and velocity across all active lists.
Create a list comparison branch in your metric tree with standardised performance metrics for each active list. Assign list ownership to the team responsible for segmentation, set alerts for lists whose performance degrades, and run period-over-period comparisons to determine whether list criteria need updating.
Get started with your Attio data
Pull metrics from Attio directly through the Model Context Protocol.
Connect your existing warehouse where Attio data already lands.
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 Attio metrics Ready to add to your trees.
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Contact-to-Deal Conversion Rate
CRMContact-to-Deal Conversion Rate = (Contacts with Active Deals / Total Qualified Contacts) x 100
Contact-to-deal conversion rate measures the percentage of contacts in Attio that progress from initial CRM entry to being associated with an active deal. It is the most direct measure of whether your lead generation and qualification processes are producing contacts that enter the sales pipeline.
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Deal Size Trend Analysis
CRMDeal size trend analysis tracks the average, median, and distribution of deal values in Attio over time. It identifies whether deal sizes are growing, shrinking, or shifting across segments, revealing trends in customer willingness to invest and the effectiveness of up-sell and pricing strategies.
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Lead Source Attribution
CRMLead source attribution traces deals and revenue in Attio back to the original source that created the contact: inbound marketing, outbound prospecting, referrals, events, partnerships, or organic channels. It quantifies the pipeline and revenue contribution of each acquisition channel to inform investment decisions.
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