If there’s a job to do, there’s an assistant for it.
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.
Present the most compelling in-app purchase promotions based on the user's behavior, demographics, and geo location to maximize conversion opportunities.
Change the content of the homepage based on the user activity to create an immediate sense of relevance. Adjust the navigation menu to highlight categories or pages the user has shown interest in.
Streamline the onboarding experience to help users reach A-ha moments faster, adopt sticky features, and enable shortcuts based on the features the user interacts with the most.
Turn any web page into a winning PPC landing page: No need to build 100s of separate landing pages - use Intempt to personalize any page on your website to match the copy in each ad campaign.
Showcase relevant case studies or testimonials that resonate with the user's industry or use case to demonstrate value and build trust.
Optimize the timing to nudge users toward subscribing to a paid plan. Automatically offer power users a premium experience trial to help them build a habit and consider upgrading to a premium plan.
Automate sales email flows with Journeys by combining lead lists sourced from Apollo and Clay.
Combine the welcome messages with educational content about key features to quickly engage new users and encourage feature adoption.
Merge previous browsing behavior and a cart abandonment action into a comprehensive recovery flow that includes tailored messaging to maximize revenue recovery.
Turn classic churn prevention methods into a proactive retention strategy that engages customers based on their interaction patterns to prevent churn.
Compare multi-step vs. single-page checkout processes to identify what reduces abandonment and optimize the final steps of your funnel.
Combine renewal campaigns with retention flows and special recognition for VIP customers, ensuring continuous engagement and appreciation.
Analyze which product features drive activation and long-term value, then use that insight to personalize onboarding and retention.
Visualize and recover revenue-losing dropoff points in your ecommerce checkout flow using real-time funnel insights.
Adjust CTA buttons or messages on the website and in-app based on the user's lifecycle stage, encouraging them to take the next step in their journey.
Test different pricing and packaging options to drive more upgrades from your current users and attract new segments.
Focus on the right accounts at the right moment, with enough context to start a real conversation.
Identify key user moments, automate targeted actions, and optimize every stage of the lifecycle- from activation to expansion.
Increase your customer's basket size and order volume with personalized recommendations.
Turn analysis into action with profiles you trust, core reports, one dashboard, and quick journeys or experiences to fix issues and prove what worked.
Deliver web and mobile experiences that learn fast and feel personal.
This play explains why routing matters, how teams typically do it, and how to run a clean lead routing system in Intempt that balances speed, fairness, and relevance.
This Growth Play shows how to use Intempt to listen for the right conversations, generate on-voice drafts, keep a human in the loop, and turn Reddit coverage into durable AI-SEO benefits that bring ICP traffic long after the day you post.
Build custom Fit & Activity scores using any data point to provide foundational insights on potential customer engagement and conversion likelihood.
Employ Recency, Frequency, and Monetary analysis to segment customers based on their purchase behavior and target them accordingly.
