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Beena

Develop by Beena

$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

About Beena

Launched Aug 22, 2024

Categories

Built by Beena

Address

100 Signal Hill Rd, St. John's, NL, A1A1B3, CA

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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.

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. more
  • 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

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