Landing page and ad discount tests for a cleaner: +25% bookings
Test run byKlientBoostCRO agency
Commentary byLiftArchiveOur analysis, not theirsBookings rose 25% above the account's previous best month after KlientBoost split tested landing pages and discount offers in ad copy.
KlientBoost ran this for MyClean, a home cleaning service, and published it as a PDF case study.
Page tests, offer tests, keyword restructuring and remarketing all ran together, so the gain belongs to the package.
- Bookings: 25% above the best month before the engagement.
- Conversions, conversion rate and cost per acquisition: reported as beating goals, but the PDF's layout makes the exact figures hard to pair.
- Chicago: the agency reports the most bookings ever in that city, with no number given.
- No winning page or offer was named, so we can't say which change worked.
The change
Pages were split tested and paired with discount offers from the ads.
Simplified mockup drawn by LiftArchive from the shared screenshots.
Control
Paid traffic went to MyClean's earlier pages and ads. The case study does not describe what they showed.
Variant
KlientBoost split tested landing pages and tested different discounts in the ad copy. It also moved to single keyword ad groups and added Facebook remarketing.
Why it likely won
Our reading of the result, not the practitioner's claim.
- Testing discounts in the ad may have brought in people already primed to book.
- Ongoing page tests let the team keep the stronger version each round.
- Remarketing likely brought back people who compared quotes before booking.
Caveats: KlientBoost reported this as a before-and-after result of a full paid-media engagement, not a clean split test of one page. Ads, keywords, targeting and landing pages changed together, and no sample size, duration or significance was shared. The comparison is against a single best month, which can flatter results.
Who ran it
KlientBoost ran this test for home cleaning service and published the results (KlientBoost case study (PDF)). The numbers are theirs; the summary and commentary on this page are ours.
Read the original case study on KlientBoost →
How to run this test on your site
- Hypothesis
- If we show the same discount on the landing page that we show in the ad, then more visitors will book because the offer they clicked is confirmed right away.
- Primary metric
- Bookings per paid visitor
- Guardrails
- Average booking value after discount
- Repeat booking rate
- Cost per booking
- Who should test it
- Home service businesses that book online from paid ads. If your margins are thin, check that discount-driven bookings still pay back over time.
Questions
Should I put a discount in my ad copy?
Test it. A discount can lift clicks and bookings, but check that those customers return at full price.
Is beating the best month a fair comparison?
It shows growth, but one month can swing with season and demand. A split test is a cleaner read.
Which landing page change worked best for MyClean?
The case study does not say. It reports only the combined result.
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