UX Rocket’s digital analytics platform powers growth for leading brands
• Easy to deploy — only one string of code an Header section oe native SDK for mobile aplication
• Streaming data collection on website and mobile app visitors
• Store full RAW data for retrospective analytics
• Automatic AI based marking all events at all pages
• Building a conversion funnel to identify ‘growth points'
• Analysis of good and bad paths for website and mobile app visitors
• Streaming data collection on website and mobile app visitors
• Store full RAW data for retrospective analytics
• Automatic AI based marking all events at all pages
• Building a conversion funnel to identify ‘growth points'
• Analysis of good and bad paths for website and mobile app visitors
1. Collect and Analysis customer behavior data
2. Create and manage Personalization Ideas
• Formation of targeted content, recommendations and assumptions
• Adaptation of Customer Experience for target segments
• Data from internal systems can be used as personalization cretaria
• No need to involve IT development team
• Fast creation of personalization ideas with full control on/off
• Safe mode testing before publication to peoduction
• Support AB and MVT approach
• Support multi-page personalization campaigns
• Adaptation of Customer Experience for target segments
• Data from internal systems can be used as personalization cretaria
• No need to involve IT development team
• Fast creation of personalization ideas with full control on/off
• Safe mode testing before publication to peoduction
• Support AB and MVT approach
• Support multi-page personalization campaigns
• Setting up content targeting rules (up to 40 attributes)
• AI Based A / B and MVT (Multi Variant Testing) testing with results visualization
• Personalization ideas comparation, based on target event conversion
• AI calculated reliability and forecast of test duration
• AI Based A / B and MVT (Multi Variant Testing) testing with results visualization
• Personalization ideas comparation, based on target event conversion
• AI calculated reliability and forecast of test duration
3. A/B and MVT testing
How
DOES IT work
?
DOES IT work
?
Collects raw data about ALL actions of a client behavior from mobile application and web site combined with back office systems data
Analyzes data (conversion funnels, Sankey, end-to-end analytics and any customized reports)
Segments the audience by session parameters or custom features
Clearly shows growth points and blocks at customer journey
Personalization of content and structure without site / mobile app development team involvement
AI driven test personalization ideas on selected audience segments (AB and MVT)
Our case
Included in the TOP-5 insurance companies in Russia (2nd place)
15 million active customers of which 6.2 million (40%) online customers
Sales through the website and mobile application $100М/year
The monthly audience of the website is more than 1 million users, the mobile application is 350 thousand users
4 sales channels: website, mobile application, offline retail sales and through partners
15 million active customers of which 6.2 million (40%) online customers
Sales through the website and mobile application $100М/year
The monthly audience of the website is more than 1 million users, the mobile application is 350 thousand users
4 sales channels: website, mobile application, offline retail sales and through partners
Included in the TOP-5 insurance companies in Russia (2nd place)
15 million active customers of which 6.2 million (40%) online customers
Sales through the website and mobile application $100М/year
The monthly audience of the website is more than 1 million users, the mobile application is 350 thousand users
4 sales channels: website, mobile application, offline retail sales and through partners
15 million active customers of which 6.2 million (40%) online customers
Sales through the website and mobile application $100М/year
The monthly audience of the website is more than 1 million users, the mobile application is 350 thousand users
4 sales channels: website, mobile application, offline retail sales and through partners
Long and expensive process of developing and testing hypotheses with the involvement of an external contractor (1 monst average)
Tilda Publishing
Before
After
50% of site enhancements reduce conversion, so conversion rate not grow due lack of solutions to analyze and accurately measure the effectiveness of personalization ideas
The need to increase conversion rate on one of the high-loaded products – MTPL Policies
Implemented a UX Roscket 2.0 for precise analysis, personalization and testing of personalization ideas on the website
More than 20 ideas were tested
Reduced three times testing hypotheses from idea to launch from 30 to 10 days average
Provided the possibility to test ideas without the involvement of an external contractor and IT service
Increased МTPL Policies conversion rate from 3.3% to 4.39% (sales UPLIFT +33%)
More than 20 ideas were tested
Reduced three times testing hypotheses from idea to launch from 30 to 10 days average
Provided the possibility to test ideas without the involvement of an external contractor and IT service
Increased МTPL Policies conversion rate from 3.3% to 4.39% (sales UPLIFT +33%)
Project results
+ $8,4 M/year
The MarTech Star Awards are aimed at identifying and encouraging innovative solutions for marketing automation, as well as practical cases of their use. This is an industry award for the top managers of the industry.
MARTECH
STAR
AWARDS
STAR
AWARDS
The MarTech Star Awards are aimed at identifying and encouraging innovative solutions for marketing automation, as well as practical cases of their use. This is an industry award for the top managers of the industry.
MARTECH
STAR
AWARDS
STAR
AWARDS
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