Retentioneering – Retentioneering

Web & App analytics
 

Marketing budget
optimization

Predictive analytics,
Hardcore math, Insights

Personalization,
Dynamic UX & Pricing

Adaptive apps & Retention
 

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What is Retentioneering for?
Understand why customers leave your product and reduce churn rate
Increase conversion rate and engagement as well as LTV, ARPU, NPS and ROI
Explore how customers use your app or website
Not to pay for attracting those customers who buy nothing
Visualize the analytics results to see business growth points
Control of contractors with independent metrics
Market leaders are those who first to implement innovations
and gain an edge over competitors. The analysis based on
individual user trajectories replaces the classic funnel concept.
This innovative analytics approach helps to identify where
you`re missing out on user engagement opportunities, predict
customer behavior and reduce churn rate by 30%.
If you use
the classic funnel,
you lose profits
and customers
read more
Market leaders are those who first to implement innovations and gain an edge over competitors. The analysis based on individual user trajectories replaces the classic funnel concept. This innovative analytics approach helps to identify where you`re missing out on user engagement opportunities, predict customer behavior and reduce churn rate by 30%.
How it works?
6 steps of product optimization
1. Building
individual trajectories
User trajectory is a sequence of user-generated events with their corresponding time points which identifies user’s behavior in an application. Users often use your product differently than managers, marketers and testers expects. Retentioneering automatically analyzes and identifies all product use cases.
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2. Map of all user behavior
types in the product
Each user trajectory is transformed into a point in the event space (TF-IDF transformation). Then with the help of the TSNE algorithm this multidimensional space is projected onto easy to understand plane. After this for each user segment we derive key metrics, which help to understand user characteristics such as the segment size and conversion rate, CAC, LTV, Retention and other metrics.
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3. Search for problems in the
product through trajectories
Having detailed information about user actions and knowing how to turn them into trajectories, it is possible to find problems in the product by comparing problematic and successful users. We can identify the points at which unsuccessful users have difficulties and immediately correct them by analyzing the behavior of successful users at the same point.
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4. Search for problematic
and successful clusters
In one graph, we display users in the context that is important for the client and their product. For example, we can group users according to their behavior similarity and then distinguish users from different channels or highlight converted users. This approach helps to identify the segments of the most successful users and understand what exactly unites them.
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5. Analysis of advertising
channels through trajectories
The fact that users from different advertising channels show different LTV seems to be logical and natural. User trajectories can answer the question of why these differences occur and how you can make adjustments to the users’ behavior from certain channel in order to improve the efficiency of interaction with each of user.
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6. Personalization
and Predictive UI
The probability of a user’s conversion or the likelihood of a churn occurring varies at each time points. For example, an insufficiently motivated user can leave forever if they are faced with a complex interface. Knowing these probabilities and knowing how to calculate them "on the fly", you can change the user experience in real time to increase the likelihood of converting.
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The first
3-4 weeks results
The first
3-4 weeks results
How to implement Retentioneering
in your business
Independently
Use our free open-source library on GitHub
Start Study
Custom solution
Our team studies your product, organize data collection, analyze the data, formulates hypotheses and interprets them for you
Calculate Project
Consulting and training
We train your analysts and help to interpret the results
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SAAS solution
In developing – Submit your application to gain access among the first
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Retentioneering
Community

We bring together more than 200 analysts and product managers around the world to share experiences and develop the product analytics industry together.

In Moscow, Kiev, Berlin, New York and Seattle, we hold free meetups to discuss analytics trends and the possibilities of Retentioneering methods. Join us to stay tuned of the latest news and developments in the product analytics field!

Our Telegram chat
Retentioneering founders
Maxim
Godzi
project co-founder,
biophysicist
“Many collect BigData, but use its potential by 3-5%. We turn BigData into DeepData: we see a hidden relationship between events and predict customer behavior with click-through accuracy”
Anatoly
Zaytsev
project co-founder,
biophysicist
“At some point we realized that our mathematical methods can work far beyond cellular biophysics. This led to the creation of a fundamentally new analytics system in business.”
Project team

Right now, a team of 30 specialists is developing the product.

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We contact you shortly to discuss the implementation Retentioneering in your company.
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