Beena

Develop by Shopify

$49-$219

/ Month

14 Days Free Trial

Marketing communication when customer is nearing next purchase

Customer segmentation

Winback campaigns

Predictive ai technology

Next purchase prediction

Churn date prediction

Email/sms automation integration

Abandoned cart management

Replenishment reminders

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About Beena

Launched Aug 22, 2024

Built by Shopify

Address

DA 12, Sec. 5, Near narcotics office, Hiran Magri, Udaipur, RJ, 313002, IN

Website Support Portal Privacy policy Tutorial FAQ Document

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Description

Improve LTV and margins from retained customers using predictive customer data.

Beena’s predictive AI technology will predict when your repeat customer will buy next by providing the exact date when it thinks each customer will buy. It also predicts a date when that customer will churn. You will be able to use this data directly on your email/SMS automations and also to create customer segments.

Stop abandoned cart abuse by sending a different offer to old customers
Send timely and accurate replenishment reminders - either via email or SMS
Create expected to buy soon customer segment to email highly engaged audience
Create churning soon customer segment to proactively run winback campaign

Pros

Predictive AI technology provides exact dates for repeat purchases
Predicts when a customer is likely to churn
Data can be integrated directly into email and SMS automations
Allows for the creation of specific customer segments based on buying patterns
Helps stop abandoned cart abuse by sending different offers to old customers
Sends timely and accurate replenishment reminders
Facilitates proactive win-back campaigns for customers likely to churn

Cons

Accuracy of predictive AI may not be 100%, leading to potential miscommunication
Requires initial setup and integration effort
Dependent on the quality of existing customer data for prediction accuracy
May not be cost-effective for small businesses with fewer repeat customers
Potential privacy concerns with predictive and personalized data usage