Omnichannel

Frequency Management Based on CLTV

Optimize Communication Frequency Using Customer Lifetime Value and Engagement Data

Prevent communication fatigue by automatically adjusting message frequency based on customer engagement patterns and lifetime value. For example, low-engaging customers receive fewer emails while high-value customers get priority messaging. This intelligent approach improves customer experience while maximizing campaign effectiveness across email, SMS, and mobile channels.

Channel

Products:

Marketing Automation

Industries:

B2B Ecommerce Financial Services Gaming Hospitality & Restaurants Retail Sports Travel & Transporation

Goal:

Increase Retention

Metrics:

Active Subscribers CLTV Purchase Frequency Retention Rate

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Why Marketers Use Bloomreach for Managing Customer Engagement Frequency

Over-communication drives unsubscribes and damages brand relationships, especially with disengaged customers. You need smart frequency management that considers individual customer value and behavior patterns. Bloomreach Engagement automatically segments customers using frequency policies and engagement data, allowing you to deliver the right amount of communication to each customer. This AI-driven approach prevents message fatigue while ensuring your most valuable customers stay engaged.

Get Inspired: Set Customer LTV-Based Communication Limits

Frequency Management

Limit the Number of Communications Based on Customers' LTV and Engagement

Automatically limit communications on your omnichannel campaigns based on customer engagement patterns. Low-engaging customers receive fewer messages across email, SMS, and mobile app channels, while your most valuable segments receive more frequent communications. This approach improves the customer experience and prevents unsubscribes by respecting individual engagement preferences.

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How It Works

Set up frequency policies in Bloomreach Engagement based on customer engagement levels and lifetime value metrics.

AI analyzes customer behavior patterns across email, SMS, and app interactions to identify engagement levels.

Customers are automatically segmented into frequency groups based on their engagement.

High-value customers continue receiving regular communications while disengaged customers get reduced messaging.

Real-time monitoring tracks engagement improvements and adjusts frequency policies automatically.

Target Audience for Customer Communication Frequency Management

Retail brands with large customer databases, food and beverage companies managing subscription fatigue, beauty brands with frequent product launches, and hospitality businesses balancing promotional and transactional communications. Particularly valuable for businesses experiencing high unsubscribe rates or declining engagement metrics.