# Landing page and ad discount tests for a cleaner: +25% bookings

- Outcome: Won
- Page type: Landing page (Lead-gen)
- Elements: Landing page design, Offer
- Test run by: [KlientBoost](https://liftarchive.com/practitioners/klientboost/)
- Commentary by: LiftArchive (our analysis, not theirs)
- Original source: https://wp.klientboost.com/case-studies/MyClean%20-%20Case%20Study.pdf
- Page: https://liftarchive.com/test/klientboost-myclean-ppc-landing-pages/

Bookings 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.

## Result

**+25% bookings**

- 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.

## 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)

- 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.

## How to run this test

- 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
- Guardrail: Average booking value after discount
- Guardrail: Repeat booking rate
- Guardrail: 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.

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Credit: KlientBoost ran this test and owns the result. Summary and commentary by LiftArchive (https://liftarchive.com/test/klientboost-myclean-ppc-landing-pages/).
Usage: Free to use, quote and build on, with credit and a link: name the practitioner or organization that ran the test and link to its LiftArchive page. The results belong to the practitioners who ran and shared them; the summaries and commentary are LiftArchive's.