Unify customer data across all digital and offline touchpoints, backed with machine learning models, use it to power your marketing ecosystem in real-time to amplify opportunities for conversion uplift and 1:1 engagement. Build complex segmentation & targeting rules, identify and target high-value customers. Create audience segments based on digital interaction, context, phase in the customer’s journey, third party data, offline purchase, and more.
Expand your experimentation and personalization to deeper segments using a Predictive Machine Learning Targeting engine which continuously identifies opportunities to serve the most relevant content.
Deliver relevant customer experiences through personalized recommendations across the entire customer journey. Serve recommendations across web, mobile, email, and display banners. Set your own rules and let machine-learning engine auto-select the most effective strategy for each user, context, or KPI.
Increase user retention, engagement, and session length by adding data-infused content or product recommendations at critical touchpoints and drop-off screens within your mobile app.
Speak to each individual’s context and drive action across web and mobile. Leverage real-time behavioral and contextual data to deliver targeted welcome messages, countdown timers, gamification popups, geo-based offers, and email capture overlays. Display custom promotions, floating bars, subscription notifications, website widgets, customer feedback surveys, or incentivized coupons – tailored to different user segments.
Reduce cart abandonments, recapture sales, increase conversions, and generate more leads machine-learning engine.
Experiment anywhere in your tech stack, with more confidence and less risk. Create, measure, and manage A/B/n, multivariate, split URL testing, and other statistical tests by optimizing content, recommendations, notifications, overlays, and more – across web, mobile apps, and email. Use Predictive Models to automatically identify and match the right experience to the right visitor by scanning every variation’s performance across all audience segments.
Automatically trigger personalized emails and push notifications to reach customers at the most critical moments. Engage with customers when they most expect it through rule-based triggers. Trigger push notifications or email messages based on real-time user behavior, like abandoning a shopping cart or lack of activity shown in the past week. Deliver timely, relevant emails when your customers are most likely to engage. Close the conversion loop by automatically sending emails and SMS when visitors have stopped browsing or abandoned their carts.
Personalize every interaction to deliver an optimal customer experience at scale across web, mobile, email, and ads. Change any static content element such as hero banners, calls-to-action buttons, promotional areas, and more, and tailor it to each user or segment, optimized for maximum performance. Let machine learning algorithms dynamically select the most relevant content for each user in carousels, multi-item banners, and more, by syncing your personalization campaigns with fresh data feeds and creative libraries.
Whether you’re looking to enrich your organization’s data with alternative data or connect to datasets you’ve been searching for, our data engine saves you precious time and resources by instantly connecting you to a wide variety of rich premium, partner, public, and custom data sources in a few clicks.
Our engine can efficiently run algorithms such as DBSCAN, K-Means, and other unsupervised machine learning techniques to engineer high-level features from the raw data. Our time series feature generation engine analyzes on a sliding window and extracts features such as seasonality (weekday vs. weekend), trend change points, and holiday impact.
We combine data sources including social media activity, website activity, emails open, and search engine behavior to create one cohesive signal that can be used to indicate various important factors about specific organizations for use cases like fraud, loan and supplier risk.
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