PGW - 282% Increase in Conversions

Challenge

Pgw is a Swedish online store. PGW Produkter has been mailing home brewing supplies and bar equipment since 1991. The owner of the company was dissatisfied with the site’s sales and sought professional CRO assistance. For a year, the firm owner desired a performance-based growth hacking solution. The proprietor of the company intended to increase sales quickly and sell the company.

Strategy

Data collection, analysis, and a rapid CRO audit
Assist with the collection of quantitative data.
Increased conversion rate by addressing the easy-to-resolve concerns.
The formulation and implementation of split testing hypotheses.
Create many A/B tests for the home and checkout pages.

Approach

The first thing we did was reduce conversion friction and barriers. We employed a data-driven strategy to identify conversion leakages and propose solutions. In order to put our idea into practice, we took the help of the development and design teams.

We also ran a number of A/B and split tests and were able to boost the conversion rate. As a result, the client was able to sell the company on his terms.

Increased revenue by 282.1 percent on the home page (equivalent to an extra $32,120 per year)
16.4 percent increase in checkout page sales (equivalent to an extra $17,105 per year)

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The Process

We followed seven steps Growth Hacking process to improve overall website’s conversion rate.

Discovery

Goals and target market identification (s).
A thorough examination of the present sales funnels.
SWOT Analysis, competitor analysis
Creating tools for collecting both qualitative and quantitative data.
Determine the difference between TOFU, MOFU, and BOFU.
Data analysis that is quantitative.
Identification of a marketing message that is appropriate.
The establishment of relevant KPIs for assessing campaign success.
Designing a test and hypothesis plan.

Setup & Implementation

Quantitative data gathered and analysed.
Make a list of the most crucial pages to test and improve.
For the testing, created test hypotheses.
Create wireframes for one of the most important pages for split testing optimization and get approval from the client.
Assist the development team in creating a new split test variation.
Set up a system to track key performance indicators (KPIs).
On the A/B testing tool, create one A/B test, A/A test and one Split test.

Ongoing Implementation

Start a test that will last 4 to 5 weeks.
Monitor performance in accordance with the hypothesis and results.
Analyze the results once the test is completed.
With the development team, implement the winning variation and learn from any unfavourable outcomes.
Make a new hypothesis for a new test based on the previous results.
Send a monthly status report.
A cyclical process to follow to further optimize different parts of the funnel.