Deal DNA helps you identify which touches your open accounts are missing. It uses your historical conversion data to find optimal touch counts by channel, show where conversion lift starts to flatten, and surface accounts that need attention.

How does Deal DNA calculate optimal touch counts?

Deal DNA runs a series of lift analyses on your historical data to find how many touches per channel make accounts most likely to convert. The benchmarks come from your own accounts, not industry averages.

Can I filter the results for different account segments?

Yes. You can slice the analysis by region, account type, or other fields in your data. Optimal touch counts can change by segment, and you can narrow the account list to the region, account type, or GTM tier your team owns.

What do the lift curves show?

Lift curves show conversion lift at different touch counts, helping you see where additional touches stop improving results. Each lift figure is flagged for statistical significance so you can assess the evidence behind it.

How do I know which open accounts need more touches?

The Touch Gaps view identifies specific open accounts that are missing touches against the relevant benchmarks. You can see which accounts fall short and which channel needs attention, rather than working from a channel-level average.

What can I do with the accounts Deal DNA identifies?

You can export the account list and use it for your next retargeting campaign, email send, or webinar invitation. Segment filters help you focus the list on the accounts your team is responsible for.

Marketing Intelligence → Deal DNA

How close are my open deals away from closing?

Deal DNA finds the accounts sitting one webinar, one event, or one email away from closed-won, and tells you what to do next.

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The problem

You can already tell a channel is working. Knowing when it's done working and for which accounts has always been a guess, send 3 emails or 6? One webinar touch or three?

WHAT DEAL DNA SHOWS

DealDNA Ends the Guessing

Born from the lift report customers loved and kept building by hand. Now it runs automatically, across your entire pipeline.

01 / OPTIMAL TOUCHES

Optimal Touches

Get the exact number of touches per channel that drives your conversion goal, calculated from your own historical data.

Per-Channel Benchmarks: See the ideal touch count for email, events, LinkedIn, and every channel you track.
Sliceable: Optimal counts shift by region, account type, or any other field you want to use to slice your data.
Built on Your Data: Every number reflects your own accounts' path to closed-won, not an industry average.

02 / LIFT CURVES

Lift Curves

Break your lift analysis down by exact touch count, so you know where the returns start to flatten, not necessarily more is better.

Touch-by-Touch Lift: See the conversion lift for one touch, two, three, and beyond, not just a yes or no.
Statistically Validated: Every lift figure is flagged for significance, so you're acting on signal, not noise.
Find the Ceiling: Spot the exact point where more touches stop moving the needle.

03 / TOUCH GAPS

Touch Gaps

See exactly which open accounts are missing the touches proven to close deals, ready to export into your next move.

Named, Not Averaged: Get the specific accounts falling short, not just a channel-level average.
Export-Ready: Push the list straight into a retargeting campaign, email send, or webinar invite.
Filter by Segment: Narrow to the region, account type, or GTM tier your team owns.

Frequently Asked Questions

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