Conversion Lift Studies in Sellforte

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Bring your Conversion Lift studies into Sellforte

Connect your Meta study evidence

Meta runs the randomized holdout study. Sellforte brings the results into your measurement workflow so you can review the impact and keep the learning available for future decisions.

With the native Meta connection and MMM calibration set up, historical and ongoing studies sync automatically as part of the daily workflow.

Explore the connected study workflow

Automatic flow of study results Daily sync

Meta Conversion Lift

Completed studiesHistorical evidence

Ongoing studiesResults as they develop

Native Meta connectorRetrieves study results automatically

Study results in one placeMatch the outcome, media, and market

Test libraryResults and AI summaries

MMM calibrationPriors for the daily model run

Automatic study retrieval is part of the connected MMM calibration workflow.

Upload an individual study when you need it

Have a completed study export? Create a Conversion Lift experiment and upload the original XLSX file from Meta. Add account, campaign, ad set, or ad IDs when you need to scope the analysis.

Sellforte processes the results into a consistent report with an AI summary.

See the Conversion Lift upload guide

Import a completed studyUpload workflow

Experiment type: Conversion Lift
Ad platform: Meta
KPI file: Meta study export.xlsx
Optional scope: Account, campaign, ad set, or ad IDs

Upload the original Meta XLSX export, check the validation status, and analyze the result.

Illustrative setup. The experiment itself is conducted in Meta.

Understand the impact and the uncertainty

See what your advertising added

Review spend, incremental sales, sales lift, and test iROAS together. The result describes the advertising, audience, market, and period covered by the study.

Use the AI summary to prepare a readout, then check the underlying numbers and record your conclusion in the study comments.

Learn to read the results dashboard

Meta Conversion Lift · RevenueExample data

Media spend$100k

Incremental sales$300k

Test iROAS3.0

90% interval2.4–3.6

$300,000 ÷ $100,000 = 3.0 iROAS

Each $1 spent generated an estimated $3 in incremental revenue within the study scope.

Illustrative figures. A revenue return is not a profit margin.

Make decisions with the range in view

Sellforte derives an iROAS distribution and 90% interval from the results Meta reports. A narrow range gives a more precise estimate; a wide range leaves more uncertainty.

Compare the full range with your business economics. The study’s average return does not tell you the return on the next dollar of spend. For that decision, consider marginal incremental ROAS alongside the wider measurement evidence.

Read the range behind the resultExample data

Illustrative distribution. Read the interval alongside the study design and Meta’s reported confidence.

Keep every study connected to your measurement

Compare results in your test library

Keep Conversion Lift studies alongside geo tests and uploaded A/B tests. Filter by test type, country, channel, status, or dates to find the evidence behind a new question.

Before comparing results, check that the studies cover comparable outcomes, media activity, and periods. Keep business context and follow-up decisions with the result.

Explore Sellforte Incrementality Testing

Test library

Test	Spend	iROAS	Confidence
Meta Cart RetargetingConversion Lift · United States	$61.11k	5.01	96%
Meta + Google go-darkGeo test · United States	$1.08M	5.06	100%
Email winback pushA/B Test · United States	$7.63k	9.50	100%
Meta full-funnelConversion Lift · United States	$350.41k	3.14	98%
Meta ProspectingConversion Lift · United States	$360.61k	2.65	95%

Example data from the Sellforte product tour.

Use study evidence in daily MMM calibration

When MMM is part of your setup, Sellforte matches relevant Meta study outcomes to the model’s KPI and media activity. Studies are weighted using factors including recency and statistical strength, and the resulting priors feed the daily model run.

Trace the evidence through the contributing studies and see how much influence each result receives.

See how Meta studies calibrate MMM

MMM calibration3 studies linked

Meta Prospecting · RevenueMeta Ads · United States · Short uplift

Weighted Experiment iROAS: 1.64
Approx. 90% interval: 1.39–1.88

Contributing experiments	iROAS	90% interval	Weight
Meta US upper-funnel	1.34	1.21–1.47	72%
Meta US prospecting	2.40	1.58–3.22	28%
Meta US prospecting · follow-upBelow 50% significance	2.10	−0.31–4.51	0%

Illustrative calibration view. Study weights reflect the available evidence.

Study readout

You

What did this Meta study show?

Let’s review incremental sales, iROAS, and uncertainty.

Study comparison

You

How do these studies compare?

Let’s match the market, objective, and study period.

Uncertainty

You

How precise is this result?

Let’s look at the interval alongside the estimate.

MMM comparison

You

Does this agree with our MMM?

Let’s compare equivalent media activity and outcomes.

Team reporting

You

Prepare a study readout.

Let’s bring the result, context, and open questions together.

Campaign context

You

What changed during the study?

Let’s review your brief alongside the study dates.

Evidence gaps

You

Where do we need more evidence?

Let’s review the coverage of your existing studies.

Follow-up decisions

You

Summarize our next steps.

Let’s separate supported conclusions from open questions.

Create study reports

Connect your study evidence through Sellforte MCP. Use your own AI tools to turn the findings into presentations, documents, and team readouts.

Compare your study evidence

Give your AI access to the available results and ask it to compare similar studies, highlight uncertainty, and identify questions for further review.

Connect studies to wider measurement

Bring study results together with MMM, attribution, and other data available to your AI. Compare the same channel, market, outcome, and period.

Add your campaign context

Combine results with campaign briefs, audience changes, promotions, and budget plans. Give your AI the context it needs to explain the findings for your business.

Conversion Lift Studies FAQs

What is a Conversion Lift study?

A Conversion Lift study uses a randomized holdout to estimate the additional conversions or sales caused by advertising. For this workflow, Meta designs and runs the experiment; Sellforte processes and presents the reported results.

Does Sellforte run the study in Meta?

The study is set up and executed in Meta. Sellforte helps you review and use its results. It does not re-run the underlying holdout experiment. Read the Conversion Lift guide.

Do I need to upload every study?

For connected MMM calibration, the native Meta connector retrieves historical and ongoing studies automatically. You can also upload a completed study’s original XLSX export through the Conversion Lift workflow. Learn about automatic study retrieval.

Which advertising platforms are supported?

The Conversion Lift import and connected calibration workflows described here currently support Meta.

Can I review studies without MMM?

Yes. Conversion Lift import is included in the standalone Incrementality Testing product. Automatic MMM calibration requires the relevant MMM plan and setup. Compare plans and capabilities.

How is this different from a geo test?

A Meta Conversion Lift study uses a randomized user holdout. A Sellforte Geo Test evaluates an intervention in selected regions using regional data and a synthetic control. Both provide evidence about a defined intervention. Compare incrementality test types.

What if the result is inconclusive?

An inconclusive study leaves the effect uncertain. Review the interval, study design, outcome, and measurement window before deciding what to test next. An uncertain result alone does not establish that the advertising had no effect.

Turn Meta study results into better media decisions