The predictive analytics software for growth.
Most teams find out about churn after it hits their revenue. Intempt scores every customer for churn risk, LTV, and lifecycle stage the moment they act.
0.0on G2Know who is at risk before they go quiet.
Intempt's predictive analytics software assigns every user a churn probability score, recalculated live from every new event.
- Churn probability score from 0 to 100, recalculated live from every new event
- At-Risk segment updates automatically when customers cross your risk threshold
- The Data Analyst alerts you: "341 customers crossed 60% churn risk this week. Here is what to send them."
Ask BluPipeline value growing with improved velocity
Total pipeline at $1.34M active deals, average deal cycle shortened by 3 days this quarter. 8 deals in late stage with combined value of $500K expected to close within 30 days.
| Name | Stage | Value | Deal owner | Deal type | Priority | Close date | |
|---|---|---|---|---|---|---|---|
| Real-Time Messaging Upgrade | Appointment scheduled | $48,000 | JDJustin Durb... | New business | High | Oct 1, 2025 | |
| Design System Audit | Appointment scheduled | $31,200 | APAudPro... | New business | High | Sep 7, 2025 | |
| E-Commerce Platform Expansion | Appointment submitted | $53,000 | BBBob Bi... | New business | Medium | Sep 5, 2025 | |
| Cloud Migration Assessment | Appointment scheduled | $32,500 | MSMaria Singer | New business | High | Aug 30, 2025 |
See which customers are worth investing in.
Intempt calculates live LTV and RFM scores for every profile, so you can see at a glance which customers are Champions, which are Loyal, and which are Hibernating.
- Live LTV, Recency, Frequency, and Monetary scores for every customer profile
- RFM buckets updated automatically: Champions, Loyal, At-Risk, Hibernating, and Lost
- The Data Analyst surfaces who to prioritize: "Champions grew 14% this month. Here is how to keep them there."
Blu · insightHomepage feed drives 34% of total recommendation revenue
PDP similar items feed CTR is declining. Try switching to collaborative filtering for this placement.
| Product | Price | CTR | Revenue | |
|---|---|---|---|---|
 | $99 | 4.2% | $2.1k | |
 | $185 | 6.8% | $4.9k | |
 | $245 | 5.1% | $3.7k | |
 | $320 | 3.9% | $5.8k |
The Data Analyst groups every customer by behavior stage.
The Data Analyst reads your predictive scores, identifies the pattern driving risk per segment, and drafts the action item for you.
- The Data Analyst explains which behavioral signals are driving churn risk per segment
- Plain-language breakdown of why each group is moving in the direction it is
- The Data Analyst drafts the message
Blu · behavior stage analysisThree segments need action this week
For Hibernating, a re-activation offer with 20% discount has the highest historical conversion rate in your account.
Session frequency dropped 60%+ over 14 days. Primary signal: last login over 2 weeks ago.
Inactive 30+ days. Re-activation with 20% discount has highest historical conversion.
94% retention. Purchase every 4 days on average. Ready for annual plan upsell at Day 90.
Built for the outcomes that matter.
Five analytics use cases teams run on Intempt.
Connect every trusted source.
Plug into the tools your team already runs on.
%201.svg){kind=logo}
%201.svg){kind=small}
Certified & Compliant
Your customer data stays yours, and stays secure.
The teams that made the switch
We were losing visitors before they signed up. Intempt's personalized experiences changed that - we started meeting people where they were instead of guessing. Once they're in, Intempt's automated email takes over and keeps the relationship moving. Acquisition and retention finally feel like one connected motion instead of two separate problems.
Jim Stromberg, CEO
StockInvest
Case Study
StockInvest needed to turn anonymous traffic into registered users before any retention strategy could work. With Intempt's Experiences, they personalized the anonymous visitor flow, surfacing the right content and CTAs to boost signup conversion. Once users signed up, automated Journeys nurtured them through onboarding and deeper engagement, steadily increasing lifetime value.
FAQ
Frequently asked questions
Everything you need to know about Intempt predictive analytics.
Predictive analytics software uses AI and machine learning to forecast future outcomes based on historical customer event data. Intempt calculates churn risk, LTV, RFM scores, and lifecycle stage for every customer in real time, and the Data Analyst recommends specific actions per segment based on what the scores show.
Know which customers to save before Monday.
Connect your first source in minutes. Churn risk scores and RFM buckets are live before the end of your first session, and the Data Analyst tells you who to reach out to first.