Improving the quantity and quality of project reviews on Yandex.
Tasks:
Increase the number of reviews on Yandex about the project;
Increase the rating of reviews.
Task implementation:
I thought over the mechanics of sending letters to loyal users (more than 3 orders) after placing an order with a request to leave a review on Yandex and receive a gift from partners for it;
Discussed and agreed on the mechanics with a partner on the project side;
Received the html layout of the letter;
I set a task for the layout team - to make up a letter;
After the layout of the letter, I set the task to the support team to conduct checking on all possible mailboxes and browsers;
After checking the widget, I sent a detailed plan for the implementation of mechanics to colleagues on the project side;
Agreed on the implementation of mechanics on the project.
Result:
For the period from 2020 to November 2022 (when the mechanics were not implemented):
- there were 186 ratings and a rating of 4.6 stars
For the period from November 2022 to February 2023 (when the mechanics were implemented):
- 179 ratings were left and the rating of the project on the Yandex resource is now 5 stars
About expert
A at Flocktory.
Arsen applied their knowledge of Project management, Marketing and Business development in E-Commerce, SaaS and Marketing on the following markets: Russia.
Arsen built products like User communication map, Customer relationship management, Website marketing automation, Website traffic management and Website lead generation using the variety of tools.
Other cases by Arsen
Integration of the transmission of additional parameters for targeting
It was necessary to learn how to target the display of the widget on the site depending on the information about the user filling in the "Information about children" block
Since the information about filling in the "Information about children" block is stored on the site side, it was necessary to configure the transmission of this information via dataLayer.
The implementation of this mechanics would allow the project to personalize communication with the user depending on the information about the children and offer the most relevant suggestions.
Task implementation:
Set the task on the back-end side of the project team to implement parameter triggers in datalayer;
After the implementation of the parameter triggering, I set the task to the support team to conduct checking;
After the correct implementation of the parameter triggering, a widget was implemented with the announcement of filling in the "Information about Children" block.
Result:
Got information about children from more than a thousand users;
Increased the conversion to the rest of the information about children by 174%;
Built personalized communication with the user depending on the information about the children.
Integration of 1-click buying mechanics on the site
The purpose of the task:
Simplifying the user path
Increase the conversion rate on the site"
"The process of task implementation:
Requested a layout from the project designers;
I set a task for the layout team - to make widgets according to layouts from designers;
After making up the layouts, I set the task to the support team to conduct checking on all possible devices and browsers;
After checking the widget, I sent a detailed plan for implementing the mechanics to colleagues on the project side;
After receiving confirmation from colleagues on the project side, the mechanics were implemented. "
"On average, about 150 users placed an order a day through the "Buy in 1 click" button"
Result:
Increase order conversion by 24%;
Collect about 10 thousand phone numbers for further communication via SMS channel.
After conducting A/B testing, the mechanics were launched at 100% of the traffic on the project. "
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Set up efficient client support
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%.
