Intempt is an all-in-one GrowthOS that maximizes engagement for modern marketing teams.
One platform, multiple use cases. Intempt optimizes growth operations across marketing and sales teams for SaaS companies, Mobile Apps and eCommerce shops.
Find and prioritize demand within your pipeline. Deliver sales reps and teams actionable account and contact behavior across the customer lifecycle with AI.
Your end-to-end solution for every stage of the app marketing journey. Measure, optimize, and scale app stickiness and growth across the customer’s  lifecycle.
Uncover insights into user behavior, identify friction in their journey and craft hyper-personalized omnichannel campaigns that can turn window-shoppers into your long-term customers.
Improve acquisition, retention, and time-to-monetization with real-time customer data and data intelligence toolset.
Create multiple cross-channel flows for each stage of the customer lifecycle. String them together for a fully automated messaging workflow across the entire lifecycle.
Optimize conversions by modifying any website element for different personalization strategies. Display targeted web experience for different users based on their behavior and affinities.
Optimize conversions by modifying any website element or testing different personalization strategies directly within the Intempt page editor
Democratize data across your organization through visual, easy to use dashboards, reports, and ad-hoc analysis. Empower all teams with access to data that’s easy to understand—and put to work.
Predict customer behavior and take action to acquire, retain and monetize more customers with more insightful marketing
Ready-to-use templates tailored to every step of the customer journey. Using data-driven best practices, it’s never been easier to start growing.
Build custom Fit & Activity scores from scratch using any data point without code, providing fast feedback on what's working and what to try next.
Utilize predictive analytics to identify users at risk of disengaging or churning. Implement tailored retention strategies to maintain their interest and loyalty.
Accurately predict purchase propensity in real-time and automate interventions with on-page experiences and messaging actions in journeys.
Decide which product features to highlight for each user as they browse, based on their adoption patterns and preferences.
Predict the categories that will maximize upsell opportunities for each user based on their previous usage and current behavior.
Employ RFM analysis to segment customers based on their purchase behavior and target them accordingly.
Measure your user activity and get them into an engagement loop with your product or service.
Communicate with your active user base and keep them up to date with the most recent offerings and updates in stock.
Create engagement sequences to reward customers with selected promotions.Â
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