Lifetime Analytics - 2026 Pricing, Features, Reviews & Alternatives

Lifetime Analytics is an innovative application enabling telecom operators’ marketing, customer experience, and sales teams to personalize commercial and care actions in order to
- reduce customer churn and down selling, and,
- increase up/cross-selling.

Lifetime Analytics' innovation cornerstone lies in:
- A churn and upsell/cross-sell opportunity explainable artificial intelligence that generates root-cause explanations formulated in natural language using marketing terminology, which leverages the operator’s existing data sets and prediction models,
- A next-best action and next-best offer recommendation engine for inbound and outbound interactions, based on both prescribed commercial strategies and best-performing actions with “look-alike” customers,
- An application allowing marketing, customer experience, and sales teams to manage efficiently a large volume of personalized actions targeting customer micro-segments, orchestrated in coordination with existing marketing and channel management systems to optimize productivity.

Lifetime Analytics comprises four modules allowing operators to:
1. Automatically detect customer clusters, described in natural language, based on an automated selection of churn/down-selling or up/cross-selling factors, which continuously evolve and are “relearned” from market and customer situations: the cluster discovery allows application users to identify root-causes based on multiple factor combinations in marketing semantics,
2. Design and pilot personalized commercial and care outbound actions: design and pilot targeted commercial and care actions on specific customer micro-segments identified through clusters to retain customers and increase ARPU and action recommendations; with the possibility of validating actions with a business case simulator,
3. Personalize inbound interactions: feed in real-time CRM and channel interaction tools (web/apps, RTM, inbound contact centers and shops) with personalized customer profiles defined by combinations of factors identified through discovered clusters and interaction recommendations for each customer profile,
4. Track, monitor, and report the business impact of these commercial and care interactions on churn and ARPU dynamics with continuous improvement feedback.

Lifetime Analytics adapts to operators’ data environment and feeds CRM, RTM, and campaigning tools, addressing both outbound and inbound channels. Lifetime Analytics leverages operators' existing data resources (without requiring the creation of new data sets) and nourishes existing customer contact tools (CRM, RTM, campaigning tools). Launching Lifetime Analytics does not require an IT integration project to start generating measurable business results.