
``...they (Leadforce) even set up a meeting with our performance marketing agency to discuss the tests. This helped us all stay aligned and avoid wasting money on our current activities.``
Conversion Rate Optimization
General results
CR Uplift
+21.5%
Revenue
+24%
ROI
23%
| Days tested: 171 | Number of tests: 5 | Number of variations p/test: 2 | Statistical significance: Achieved! |
Successful A/B tests
Hypothesis
Adding a pop-up that lets customers know that stock may run low soon for discounted items and shows how much they’re saving can help boost sales by at least 10%. This simple addition nudges shoppers to complete their purchase before the deal is gone.
Goals
Encourage customers to move further through the funnel by creating a sense of urgency, which will naturally lead to more sessions turning into purchases (conversion).
Results
Versions | Sessions | Cart views | CR | Confidence |
---|---|---|---|---|
Control group | 2559 | – | – | |
98.8% | ||||
Variation | 2569 | 280% | +24.5% |
BEFORE

AFTER

Hypothesis
By adding more user-friendly filters to the product listing page (PLP), it will be easier for customers to find what they’re looking for without returning to Google. This can lower bounce rates by up to 5% and increase sessions with add-to-carts. The expected uplift in conversions is up to 7%.
Goals
Lower the high bounce rate on PLPs by making the page more engaging for users.
Results
Versions | Sessions | Bounce rate | CR | Confidence |
---|---|---|---|---|
Control group | 12295 | – | – | |
95.1% | ||||
Variation | 12307 | -24% | +18.9% |
BEFORE

AFTER

Main findings
Finding 1
The urgency alert worked especially well during promotions.
Finding 2
Returning users responded better to the urgency alert, converting more often than new users. It also looks like conversions were a bit higher in the higher-priced clothing segment.
Finding 3
Both tests saw better engagement on mobile, but on desktop, eCommerce metrics like add-to-carts and conversions were higher.
Finding 4
When chip filters were introduced, they significantly improved PLP scroll rates and overall engagement. While overall pageviews per session decreased, add-to-carts and conversions increased. This indicates that users are finding products more easily without needing to click through multiple pages.
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