Retentioneering

How it works?
6 steps of product optimization

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.

Ask question

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.

Ask question

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.

Ask question

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.

Ask question

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.

Ask question

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.

Ask question

6. Personalization
and Predictive UI

Ask question

1. Building
individual trajectories

Ask question

2. Map of all user behavior
types in the product

Ask question

3. Search for problems in the
product through trajectories

Ask question

4. Search for problematic
and successful clusters

Ask question

5. Analysis of advertising
channels through trajectories

Ask question

6. Personalization
and Predictive UI

Ask question

Adaptive apps & Retention

Web & App analytics

Marketing budget
optimization

Predictive analytics,
Hardcore math, Insights

Personalization,
Dynamic UX & Pricing

Adaptive apps & Retention

Web & App analytics

Marketing budget
optimization

Predictive analytics,
Hardcore math, Insights

Personalization,
Dynamic UX & Pricing

Adaptive apps & Retention