Why are users still running away from your cross-channel messages and how to fix it?
Avadhoot Revankar
Chief of Growth | Product Strategy | GTM Specialist | Martech Speaker & Storyteller |
Most of you would have missed my last blog, somehow Linkedin didn’t want to publish it to subscribers and not even on the feed. I'm not sure why. So here is the link.
As an extension to the above blog, going deeper into this point around sending personalized messages to each user to drive higher repeat purchases.
It's surely a question for all marketers to introspect and realize the fact that just because the user is available on a particular handle doesn’t mean you spam his Inbox. That’s exactly what is driving users away from these owned media channels and getting them to spend more time on paid media channels like Instagram, Facebook, Snapchat, and X.
Marketing folks need to start respecting user time and preferences when they are sending out messages to users and also measure the negative impact of sending unnecessary messages. Here is a quick glimpse of the impact of
All of this also leads to a dropping performance across all channels which I am sure most marketers are experiencing. Also, as per a recent e-commerce report released by Netcore cloud, users don’t want to receive more than 3 messages across all their communication channels. Netcore Cloud
I strongly feel having a clear Campaign policy in your organization which acts like a guiding principle for everything you do as a CRM team is a must. Here is what that policy could look like:
Enhanced Campaign Policy for Matured Marketers
1. Communication Frequency & Channel Optimization
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Also, it’s important to have an overall communication cap across channels.
2. Segmentation & Targeting
Say No to Batch and Blast - No generic message should be sent to the entire user base unless it’s approved by some authority. Exceptions to be accepted not beyond once in 90 days. ??
Advanced Segmentation: Every campaign should be sent out to a segment of users and segments to be created based on user preferences, RFM, predictive affinity, and propensity models.
3. Content Strategy
Users are hungry for valuable content and brands instead are delivering ads to users' message boxes.
4. Performance Measurement & Optimization
Hope this helps and please do comment with your thoughts on what more can we add to this campaign policy. The coming blog will explore segmentation and content strategy with specific examples.