Nanit improved sales forecasting accuracy, reduced time to insight, and gained clear visibility into demand drivers using Pecan AI, resulting in stronger trust and better decisions.

ShopTJC Ltd. partnered with Pecan to predict the likelihood of customers making additional purchases, enabling them to optimize shipping costs effectively.

The Credit Pros implemented Pecan AI to address client churn, reducing model development time from three months to just weeks and enabling proactive retention strategies that increased revenue.

DME Acquire achieved up to 40% improved campaign response prediction and the ability to deliver previously impossible insights.

Pecan’s predictive analytics solution restored insights lost to SKAN and guided informed, effective decisions.

When word-loving mobile game maker PlaySimple needed to improve users’ lifetime value and return on ad spend, predictive lifetime value models built with Pecan provided all the right clues for marketing success.

The CAA Club Group roadside product data science team chose Pecan when they needed a faster, automated solution for optimizing roadside assistance forecasting and staffing.

Equipped with daily LTV predictions, KSG Mobile optimizes UA campaigns' ROI and easily demonstrates marketing ROI to stakeholders.

Pecan’s predictions identify which players may need a nudge to return, helping better target ads and conserve marketing resources. With refined foresight into player behavior, SciPlay is saving millions annually.

Pecan’s predictions offer Armor VPN confidence in their marketing campaign decisions, just like their cybersecurity solution provides subscribers peace of mind.

Pixio acquired more high-value players by optimizing Facebook ad campaigns with Pecan’s pLTV predictions.

To reduce chargebacks and identify fraudulent transactions, Coinmama needs reliable, accurate methods of analyzing its data. Using data to dig into customer behavior can be a complex, inefficient project — until you find the right tools.

When Hydrant wanted to rehydrate their customer retention strategy and win back more previous purchasers, they turned to predictive analytics with Pecan.

With over a billion dollars budgeted for marketing, this company has far more options than most for reaching American consumers. But with great budgetary power comes great responsibility. An economic slowdown motivated this marketing organization to find a budget allocation across 20+ channels to improve operating margins and efficiency without reducing revenue. Pecan’s marketing mix […]

A U.S. wellness services company saw ROI in just over 2 months by integrating Pecan’s predictions into its call center campaigns.

A social casino game publisher increased ARPU up to 30% by customizing upsell offers based on pLTV, conversion, and churn predictions.

With Pecan’s predictions, the user acquisition team could gain higher-LTV players more often and more cheaply, with three times the number of installs— and at one-third of the CPI.

Delivered in just 3 weeks, Pecan’s MMM offered granular budget insights and simulation tools that helped the team reduce its most popular app’s customer acquisition cost by 10% in the U.S.

A direct-to-consumer food and beverage service suddenly faced unexpected customer churn for its subscription-based beverage program.

A Tier II supplier for some of the world’s largest manufacturers mastered supply and demand with demand forecasting powered by predictive analytics.

With internal data science teams fully engaged with other company projects, this app maker had difficulty building and maintaining an effective demand forecasting model. With Pecan, they transformed their raw sales and inventory data into a powerful, accurate model in just days instead of months.

A mobile game maker wanted to increase player engagement. Using Pecan, they were able to cut the player churn rate in half with models built in a matter of days.

Our forecasts helped reduce overstock amounts up to 50% and lifted sales 10-25%.

Predictive analytics recognizes complex patterns in customer data that predict conversions for this customer.