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Marketing Automation

Labelident

The customer

Labelident is a producer of industrial labels with its own online sales. The company has over 100,000 customers throughout Europe. The focus is on thermal labels for trade and logistics. The online store offers a wide range of blank shipping labels, printed labels, inspection labels, label printers and accessories.

Customer
Labelident GmbH
Industry
Trade and production
Services
Marketing Automation
Abandoned Cart Email labelident
Labelident GmbH

Challenge

Labelident offers products mainly for business customers from a wide range of industries with a broad product range. A challenge is therefore the appropriate segmentation and approach. In addition, there are many one-time buyers in the online store who are to be won as existing customers through suitable content.

Marketing Automation

Destination

  • Implementation of Marketing Automation
  • Engage customers with the right content at the right time - personalized & relevant
  • Customer loyalty & multiple purchases
  • Implementation of cross-selling and up-selling activities
  • Measure marketing success (ROI)

Implementation

  1. Technical implementation of marketing automation
  2. User behavior & customer segmentation
  3. Targeted automated campaigns for win-back, lead nurturing, and cross- and up-selling
  4. Expanding communication channels and setting purchase incentives through website personalization, WebPushs and e-mailings

The result

18%
CTOR
Increase sales by using automated processes with Salesmanago
156.000€
Abandoned Cart Email Revenue
Improved purchase behavior analysis
Newsletter Exit Pop Up Labelident
Abandoned Cart Email labelident

Labelident Abandoned Cart Email

Cross Selling Workflow Labelident

Labelident workflow

Labelident GmbH

The success factors

Marketing Automation

Automated lead nurturing as well as cross- and up-selling with target group-specific content

Customer acquisition

Customer acquisition and retention through extensive website personalization

Personalization

User segmentation and personalized product recommendations

Discover
Pull