Traffic generation for an application; Reducing the CRR
CRR reflects the effectiveness of campaigns with the predictive model, and helps increase the client's profit; Optimizing the CPA for the order; Increasing the LTV of attracted users. This can be achieved by increasing the frequency of orders per user or increasing the value of the average bill Tools:
Accumulating 30,000 installs, among them — at least 40% with conversion; Making recommendations for the client on unmarked events on the event map; Collecting additional raw data on the Push API and getting a key for sending s2s events; Creating a tree of user behavior; Training the model and splitting users into clusters by LTV; Starting to send a Smart Event. In July created test campaign optimized for a predictive event; Updating the settings and enriching the Smart Event with additional information Results: Optimized campaigns using Smart Event. The CRR for them became lower than the CRR of conventional campaigns; By 25% reduced CRR for the period from October 2021 to February 2022 compared to conventional campaigns; By 23% lowered CPO; 4 times increased budget of predictive ad campaigns from October to February and reduced the share of regular promotion
About expert
A CPO at Go Predicts.
Gregory applied their knowledge of Development and Product management in Cloud service, Design, Firm Software, Driver software, Marketing and Consulting on the following markets: The USA.
Gregory built products like Dominos Pizza using the variety of tools.
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Enhancing Analytical Infrastructure and Reducing Fraudulent Activities
Led the shift of analytical infrastructure, enhancing data resources and decreasing update errors by 90%. Increased identifiable traffic sources from 60% to 95%. Played a crucial role in reducing fraudulent responses from 28% to 1-4% by strengthening moderation and creating a fraud analytics direction. Contributed to a project reducing the cost of applications from groups by 70% and reducing vacancies in central Moscow from 20% to 6%.
