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How a freemium SaaS company onboards and expands a customer
How a Retailer grows their LTV while decreasing CAC
Zero theory or mindset discussions here; just actionable marketing tactics that will grow revenue today.
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.
Build custom Fit & Activity scores using any data point to provide foundational insights on potential customer engagement and conversion likelihood. Employ RFM analysis to segment customers based on their purchase behavior for targeted interactions.
Employ RFM analysis to segment customers based on their purchase behavior and target them accordingly.
Use front-end A/B and multi-page experimentation product built for any business size. Run multiple experiments on the same page.
Deliver targeted messaging, personalized offers and recommend the most relevant content for your users.
Empower your team to collaborate with an easy-to-use visual editor without using developer time to get things up and running.
Gain insight into the impact of your experiments with statistically valid results. No complex statistical analysis required.
Go beyond client-side testing and deploy experiments on the server-side. Test and optimize content changes and even complete re-brands.
Select the right goal for each personalization and experimentation campaign to ensure you’re optimizing towards the right objectives.