Retention Marketing Software Empowers Brands to Segment Customers Across Purchase History, Demographics, Website Behavior, and Custom Attributes

Barilliance, the leading personalization software for retailers, launched Retention, the newest addition to Barilliance’s personalization suite.

Barilliance Retention creates 360 customer profiles, which combine a customer’s onsite behavior such as products viewed or the number of sessions across all devices, online and offline purchase history, demographic data including location, and CRM data such as previous marketing interactions.

Combining all the information into a big data warehouse gives retailers the ability to identify and analyze profitable segments. By focusing on the customer, retailers can create multi-channel campaigns to highly targeted segments across email web, mobile and social: loyalty programs for best customers, price incentives for at-risk customers segments, or target offline only customers on Facebook to drive them online are a few examples.

Also Read: Best Practices For Data-Related Insights When Building Smart Email Marketing Programs

Data is Broken

Today, more data is tracked and stored than ever before. Companies capture data from every customer touch point, including mobile interactions, app usage, onsite, offline purchases, and of course, across every employed marketing channel.

However, combining this data into a single customer profile is only the first step. A tool is needed to leverage this data and personalize marketing campaigns, treating customers as individuals.

Customer experience depends on personalization. Barilliance’s Retention combines with other products to create true, omnichannel personal experiences. Once a segment is defined, Retention clients can set rules in Web Personalization, design outreach emails, target them on Facebook or make cross-sale offers through Product Recommendations.

Key Features of Retention

By combining data in one place, Barilliance Retention is able to create powerful customer segments.

1. Purchase History: Segment according to price preferences, purchase frequency, AOV, offline purchases, recency and more.
2. Web Behavior: Segment according to brand affinity, brand loyalty, product category interest, and more.
3. CRM Data: Segment according to email engagement, device, location, and more.
4. Merchandising Controls: Personalization tools across the web, social, mobile and email customer experiences, including personalized product recommendations.

Recommended Read: Hyperpersonalize Your Campaigns in Five Steps