First-Party Audience Match ROI Calculator

Estimate the real revenue impact of feeding first-party data into ad platforms. Combine your upload size, existing conversion rate, and average order value to quantify how match rate and conversion lift turn into incremental dollars per record and total revenue from the audience.

Unique hashed emails, phone numbers, or IDs sent to the ad platform.
Historical conversion rate on remarketing traffic before applying lift.
Typical revenue captured per conversion from remarketing campaigns.
Optional — defaults to a 45% match rate if left blank.
Optional — defaults to a 30% conversion lift when blank based on typical first-party audience performance.

Validate match reports and lift experiments with your ad platforms or analytics team before committing budget decisions.

Examples

  • Example 1 — 85,000 records, 2.4% baseline conversion, $140.00 order value, defaults for match and lift ⇒ Matched users: 38,250 (45.00% of your upload) | Baseline conversions: 918.00 at 2.40% | Incremental conversions from lift: 275.40 (30.00% lift) | Incremental revenue: $38,556.00 | Revenue per uploaded record: $0.45 | Revenue per matched user: $1.01 | Total revenue from matched audience: $167,076.00
  • Example 2 — 40,000 records, 3.2% baseline conversion, $95.00 order value, 55% match, 45% lift ⇒ Matched users: 22,000 (55.00% of your upload) | Baseline conversions: 704.00 at 3.20% | Incremental conversions from lift: 316.80 (45.00% lift) | Incremental revenue: $30,096.00 | Revenue per uploaded record: $0.75 | Revenue per matched user: $1.37 | Total revenue from matched audience: $96,976.00

FAQ

How do I account for incremental media spend?

Compare the incremental revenue output to the list fee and incremental media cost to compute a full ROI. The calculator isolates revenue so you can plug it into your budget model.

What if the match rate exceeds 100%?

Platforms can report over 100% match when they find multiple IDs per record. Cap the input at 100% so results reflect unique people you can actually target.

Can I model customer lifetime value instead of order value?

Yes. Replace the order value with the average lifetime revenue per converted customer to see the long-term impact of onboarding first-party data.

Additional Information

  • Match rate defaults to 45% to mirror typical CRM-to-platform onboarding results but should be replaced with your provider’s actual report.
  • Conversion lift is applied multiplicatively, so a 30% lift turns a 2.0% baseline rate into 2.6% for matched users.
  • Revenue per uploaded record helps set CPM bid caps for list targeting or determine the break-even cost of data onboarding.
  • Total revenue combines baseline conversions and incremental lift to show the full value generated by the matched audience.

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