Thought leadership

Leading Indicators

Data-driven metrics that create early visibility on the probability of a successful close.

2026

Trained on large data sets, Autopilot provides leading indicators to create visibility on the probability of a successful close.

Equipped with proprietary intelligence on market and sector specific benchmarks, Autopilot draws on leading indicators to publish the health of the raise process.

Intro Request Opt In Rate
1st to 2nd Meeting Conversion
Due Diligence to Close Rates

Intro Request Opt In Rate

Measuring the percentage of introduction requests that recipients opt into

By measuring the percentage of introduction requests that result in an investor opting in to take the call, and by comparing that with benchmarks, Autopilot is able to assess the level of traction that a given Company is getting with capital markets.

If the opt-in rate is at least one standard deviation away from the median, then Autopilot knows that something is off.

The most common factors driving high opt-in rates:

  • Are we targeting the right investors?

  • Are we pushing intro requests to people we know well?

  • Is our intro blurb compelling and in line with industry standards?

  • Is our round collateral in the top decile?

The benchmarks for the right opt-in rate tend to vary significantly based on the Company’s stage, geography and existing cap table.

1st to 2nd Meeting Conversion

Evaluating progress through investor conversations

Measuring the 1st to 2nd call conversion rates allows Autopilot to evaluate the progress in investor calls.

If the conversion from a 1st to a 2nd meeting is significantly lower or higher than the benchmark for that particular stage, then Autopilot guides founders to adjust their strategy accordingly.

The most common factors driving 1st to 2nd call conversion include:

  • Are we leaning into the plausible intent of questions?

  • Have we set the valuation too low, or too high?

  • Are we coupling together the vision with tactical insight into the roadmap?

Autopilot is trained on large data sets to iterate with founders on aspects of initial investor calls that might work well, or that might need work.

Due Diligence to Close Rates

Understanding due diligence phase success metrics

Of all investors that enter the due diligence phase, Autopilot measures the percentage that end up making offers, and compares that to established benchmarks from large data sets.

Counting Due Diligence

Autopilot is trained on when to count an investor conversation as being in the due diligence phase.

Evaluating Engagement Quality

Autopilot's training leans into the nature of questions and the quality of the engagement that is observed during due diligence.

Join other data-driven founders today

Metal provides the tools that founders need to put the odds in their favor.

Stay updated with Metal's bi-monthly newsletter on all things fundraising.

© 2026 Apollo13 Technologies Inc. (Metal)

Join other data-driven founders today

Metal provides the tools that founders need to put the odds in their favor.

Stay updated with Metal's bi-monthly newsletter on all things fundraising.

© 2026 Apollo13 Technologies Inc. (Metal)

Join other data-driven founders today

Metal provides the tools that founders need to put the odds in their favor.

Stay updated with Metal's bi-monthly newsletter on all things fundraising.

© 2026 Apollo13 Technologies Inc. (Metal)