How to Verify a 250% Conversion Growth Claim
Editorial correction: a claim is not a verified case study
An earlier version of this page described a 250% increase in conversions and additional cost improvements. Supporting client identity, raw measurement records and an agreed attribution method are not available in the source materials reviewed for this project. Those statements must not be treated as verified client outcomes. This updated page explains what evidence a marketer or buyer would need before trusting a comparable claim.
First define the conversion
A conversion may mean a submitted form, accepted qualified lead, booked meeting, completed purchase or another business event. A change in the event definition can make a performance figure look much stronger without producing new commercial value. Report the exact event and any filtering used.
Understand the arithmetic
A 250% increase means the new level is 3.5 times the baseline. If a business previously recorded 20 qualified enquiries in a comparable period, a 250% increase would mean 70 — not 50. This is a mathematical illustration, not a client result. Calculate percentage changes on the same definition and explain the absolute numbers.
Match the comparison periods
Compare like with like: equivalent time windows, markets, channel attribution settings and campaign conditions. If a campaign spans holidays, product launches or major sales-team changes, note these influences. A conversion increase observed after agency work is not automatically caused by that work.
Check source systems and duplication
Review analytics configurations, CRM statuses, event tagging and historical exports. Confirm that duplicate form submissions, bot traffic, low-intent enquiries or tracking changes did not inflate the result. Where appropriate, connect leads to later sales stages and gross profit rather than stopping at a count of clicks or forms.
Distinguish descriptive reporting from causal evidence
A before-and-after chart describes what happened. A controlled experiment or carefully designed quasi-experiment provides stronger evidence about what caused the change. Depending on the intervention, use control markets, holdouts, matched cohorts or explicit sensitivity analysis.
A credible case study checklist
An attributable case study should disclose the client's permission status, industry, baseline and comparison window, relevant starting volumes, exact KPI definition, intervention, key confounding factors and limits of inference. Keep screenshots or exports that a future auditor can inspect without revealing information that the client has not permitted to be shared.
Red flags for buyers and acquirers
Be cautious of unexplained percentages, anonymous client descriptions presented as proof, contradictory timelines and a lack of raw records. A website claiming performance without supporting data can become a commercial liability when evaluated for acquisition.
Next step
If verified, permissioned campaign data become available, this URL can be updated again with an appropriately labelled real case study. Until then, it should remain an evidence guide within the Old archive, not a sales testimonial.
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