Spot the customers.Before they leave.Act ahead of time.
RetainIQ analyzes churn signals in real time and automatically triggers the retention actions tailored to each at-risk customer.
- churn rate
- -45%
- improved LTV
- 2.1x
- early detection
- 24h
- automated
- 100%
Orders of magnitude the installation aims for; they are measured on your premises during the audit, on your volumes.
Fully automated, nothing to manage.
AI churn prediction
ML models trained on your behavioral data, sessions, feature usage, support tickets, to score every customer continuously and detect weak signals before they break.
Automatic retention
Personalized emails, targeted offers, CS team alerts, each action triggered at the right moment based on the risk profile, with no manual work.
Customer 360 dashboard
Full history, health score, in-progress actions and measured outcomes for each account in one unified interface. Your CS team runs retention like a product, not a fire drill.
Live in days, not months.
- 01
Connect your data
Stripe, Mixpanel, Intercom, Segment, RetainIQ integrates in 1 click. Historical data analyzed within 24h, initial model ready the next day.
- 02
Model trained on your numbers
RetainIQ builds a model specific to your product, not a generic recipe. Over 85% accuracy starting from the first production week.
- 03
Autonomous retention activated
Alerts, emails and CRM actions triggered automatically. Your CS team only steps in on critical high-value cases.
The pipeline behind this offer.
NotionWe plug the agent into the tools you already use.
Stripe
HubSpot
Mailchimp
Slack
Groq
Nothing to learn: we configure and operate these connections for you.
The churn you see arrives 3 months too late.
First Monday of the quarter. Your CFO opens the MRR dashboard. -47k. Three customers churned this week, including two logos you cited in every fundraising deck. Your Head of CS looks over their shoulder, pale. They were on the phone with them 5 weeks ago: 'everything's fine'. But you know the truth, their sessions had been dropping for 60 days, their support tickets piling up, the decision-maker hadn't opened your newsletter in 8 weeks. Nobody crossed the signals. The company's NRR just dropped 3 points. You'll know next time, but 'next time' costs 47k cash every Friday night.
Bain & Company puts the cost of acquiring a new customer at 5x the cost of retaining an existing one. A ChurnZero study on 600 B2B SaaS shows 87% of churns are preceded by weak signals detectable 60-90 days before the break, but only 11% of CS teams have the instrumentation to spot them. McKinsey predicts that by 2027, SaaS companies without AI churn prediction will have NRR 18 points lower than competitors.
Wikolabs installs AI systems built on open-source models, on your premises, paid once. No black box: your data, your prompts and your history stay in your infrastructure. We quote at a fixed price or on time and materials, never per ticket or per token, and we say before you sign what works and what does not yet.
Concretely: you connect Stripe, Mixpanel, Intercom and Segment in 1 click. Within 24h, RetainIQ has analyzed your history and trained a model specific to your product (>85% accuracy from week one). Every customer is scored continuously on usage, sessions, tickets, payments. Critical score: personalized AI email, targeted offer or CS alert triggered automatically. Result: churn cut by 45%, LTV doubled, and your CS team finally drives retention instead of chasing it.
Keep your clients and grow their value without manual effort
Acquiring a new client costs 5–7× more than retaining an existing one. Yet retention and upsell are often reactive: you intervene when the client complains, not before. The Retention & Upsell Agent continuously analyzes your clients' behavioral signals, detects churn risks before they materialize and automatically triggers the right messages at the right time.
Churn is detected too late, when the client has already decided to leave. Upsell opportunities are missed for lack of timing. Account managers handle too many accounts to monitor each one individually. And without automation, retention stays reactive rather than proactive.
The agent monitors churn signals (usage drop, repeated support tickets, falling NPS, renewal absences) and triggers LLM-personalized re-engagement campaigns. When a client reaches a success milestone, the agent triggers an upsell sequence adapted to their profile and usage.
How we deploy
- 01Churn signal definition
Identification of predictive indicators specific to your product: usage frequency, open tickets, NPS, login activity.
- 02Real-time retention scoring
The agent calculates a daily client health score and alerts the account manager when an account enters the red zone.
- 03LLM re-engagement campaigns
For each at-risk client: personalized email drawing on their actual usage, past successes and a targeted value-add offer.
- 04Post-success upsell sequences
When a client hits a positive KPI (adoption, ROI, milestone), the agent triggers a natural, non-intrusive upsell sequence.
Concrete benefits
Preventive intervention before the client decides to leave multiplies retention chances vs. reactive intervention.
Upsell sequences triggered at the right moment (after a client success) convert 3× better than random upsells.
Your AMs no longer monitor 200 accounts manually. They only intervene when the agent flags a critical account.
Frequently asked questions
How does the agent access usage data?
Can the agent handle renewals?
Is the client health score visible in the CRM?
Can we exclude certain clients from automated campaigns?
Cut your churn starting today
First insights within 48h. No-code integration. No credit card.