We increased the client’s ARPU by 30% by giving users an alternative flow to convert. A user can either post a job and wait for bids from contractors, or select specific contractors and offer the job only to them. The first flow is offered by default. The second flow has to be selected manually. We gave users the option to choose one of the two flows more easily. This move resulted in a 30% increase in ARPU.
Kabanchik.ua is a two-way marketplace that connects users looking for a specific one-time job and contractors offering their services based on professional skills:
Our task was to increase the revenue per user (ARPU) metric by working with the conversion rate (CR) and average order value (AOV).
When we looked at the breakdown of revenue allocated to each of the two conversion flows, we found that the vast majority of users chose the first conversion flow that was offered by default: the flow where a user posts a job to the marketplace and waits for contractors to bid on it. This was the natural flow for users because it allowed them to see bids from multiple active contractors and choose the best one.
However, we also conducted user testing and user surveys and found that about 20% of new users wanted to know more about the selection of contractors on the marketplace before posting a job. New users wanted to know if contractors were qualified and trustworthy enough to do the job. Finally, new users wanted to evaluate whether it was worth their time to post a job on this marketplace.
Our solution was to combine the two conversion flows into one, allowing users to either post a job and wait for bids, or select specific contractors and offer them the job based on their ratings and profile. To do this, we introduced the “Popular contractors in this category” block on the job posting form.
We have done two things with this solution:
To validate this hypothesis, we conducted an experiment that measured the impact of the new UX on CR, AOV, and ultimately ARPU. The experiment had the following characteristics:
Type of experiment: A/B test
Traffic split: 50/50
Key metric: ARPU
Number of users who participated in the experiment 4,137 users
Number of conversions recorded during the experiment: 1,465 conversions
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