Product Individualization Product Recommendations

Automate Campaign Content with Personalized Product Recommendations

Reveal the Next Best Item for Customers via Omnichannel Campaigns

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Customer Data Platform
personalized product recommendations

Maximize Order Value & Revenue with Personalized 1:1 Recommendations

Delight your audience with product recommendations that dynamically adapt to customer purchase behavior, buying patterns and usage trends. Use an AI-powered system that allows complete control over merchandising with intuitive targeting rules for millions of items. Increase order value by revealing new categories based on the recent transactions and purchase patterns of similar customers.

Accelerate Product Discovery to Increase Upsell Opportunities

Optimize product recommendations for customers with the serendipitous discovery of items they may not uncover naturally, but would likely be interested in. Increasing product diversity with novel recommendations widens manually searched categories and diversifies your inventory for a more even distribution. Increase upsell opportunities by promoting less popular products with low count to feature in the top recommendations while maintaining relevance.
product discovery
omnichannel orchestration

Improve Campaign ROI with Omnichannel Orchestration

Build rich marketing communications using images, videos, deep or external links with custom fields in your catalog definition. Customize omnichannel campaigns with your choice of layout and design across In-App, Push, Webhooks, SMS, and App Inbox. Trigger them with specific user behavior such as add to cart or searched to bring further context. Use advanced filtering to include or exclude products of your choosing, such as out of stock or low value items.

Leverage Automated Segmentation to Recommend Items Based on User Context

Automatically uncover actionable customer segments based on lifecycle stages to instantly identify champions, loyal users, at-risk, or hibernating users. Coupled with automated segmentation, orchestrate recommendation campaigns that add further personalization. For example, win back customers at risk of churn with recommendations that exclusively send discounted items while being relevant to individual customer preferences.
automated segmentation for recommendations
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We Drive Measurable Growth

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  • 4x

    Higher CTR with ab testing

    36%

    Reduction in new user churn

    “I loved CleverTap from the moment I started using it. It’s not just a mobile engagement tool, but a tool that is helping apps continue to grow and achieve their objectives.”
    Natalia Garcia Ocampo
    Marketing & Growth Director, Movii
    See Case Study
  • 71%

    Increase in week 3 retenion rates

    73%

    Improvement in average CTRs with personalization

    “Pairing Carousell’s own AI and machine learning work and with CleverTap’s capabilities in the same domain has helped to enhance the push experience for buyers on the platform.”
    Arun Kumar
    Head of Digital Marketing at Carousell
    See Case Study
  • 12%Engagement

    With event-centric campaigns

    3%CTRs

    Using data-based insights from Pivots

    “CleverTap’s data-driven mobile marketing suite continues to play a crucial role in our growth. Using CleverTap we have been able to run omnichannel campaigns for a diverse set of use cases.”
    Mihir Shah
    VP of Product & Marketing Growth, Disney+ Hotstar
    See Case Study
  • 16%

    More Conversions

    25%

    Increased Campaign CTRs

    “The amalgamation of data science and the ability to extract data faster, real time updates to metrics, and campaign automation capabilities make CleverTap the best in the industry.”
    Manish Dhanwani
    Senior Marketing Manager, SonyLIV
    See Case Study
  • 5x

    Increase in 90-Day Retention Rate

    2x

    Increase in MAUs

    “CleverTap is an easy-to-use and intuitive tool to engage with customers. It has a wide selection of channels, and also detailed analysis tools to help get insights for all your campaigns. We are also very happy and impressed with the support the customer success team provided.”
    Maybelle Cheah
    Customer Analytics Team Lead at Boost
    See Case Study

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