Read this in-depth guide about customer lifecycle marketing to learn:
1. The four stages of a customer’s journey and key drivers that influence engagement.
2. Areas to focus on to measure the success of customer lifecycle marketing campaigns.
3. Pitfalls and best practices to follow while implementing a customer lifecycle marketing strategy.
At each phase of the cycle, you should approach the customer using specific channels and specific marketing messages. The image below explains the phases and the mediums used.
Leads to scattered marketing messaging that may not bring the apt RoI.
Results in declining engagement rates for your campaigns.
Makes personalizing complex for new and old customers.
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Customer lifecycle marketing is a coordinated marketing effort that touches every phase of the customer’s journey. The aim of this strategy is to increase new conversions and ensure high retention.
The four stages of customer lifecycle marketing campaigns are:
Reach: The prospect comes in contact with your business at this stage.
Act: The customer uses your product or service for the first time.
Convert: The first-time customer uses more services.
Engage: Loyal customers return to your website or app as they find value in your product or service.
Organizations face following three major challenges while implementing their customer lifecycle marketing campaign- poor segmentation, repetitive offers and lack of personalization.
The best practices of implementing a customer lifecycle marketing campaign include data-driven segmentation, contextual relevant offers and personalization.
MoEngage helps you acquire new customers, engage, and retain them, while also seeking referrals from existing customers. The customer engagement platform is built for the mobile-first world, helping companies orchestrate campaigns through push notifications, emails, in-app messaging, web push and SMS. Brands can leverage MoEngage’s AI-powered platform to gain rich intelligence into their customers’ interests and behavior, fueled by our proprietary AI engine, Sherpa.
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