The CRM Optimization Playbook for Retailers
Postie is the leading end-to-end direct mail campaign platform, steeped in data science and purpose-built for empowering marketers with smarter targeting, simpler execution and stronger measurement. DTC brands and retailers have run more than 33,000 campaigns with Postie with an average ROAS of 1,382%.
What's inside?
Most retail CRM programs look busy and quietly erode margin at the same time. This playbook breaks down why static lists and fixed cadences fail modern retail customers — and how a reinforcement learning model fixes it by predicting timing and intent instead of just storing transactions.
You'll learn how Postie's CRM Optimization ingests your POS and e-com data, layers in third-party signals, and identifies the customers who need a nudge vs. the ones who were buying anyway. Plus a real use case showing how incremental revenue compounded long after the campaign closed.
Inside this playbook:
- Why rules-based CRM programs cannibalize your own margin
- How reinforcement learning finds timing signals humans miss
- The difference between measuring incrementality and creating it
- What data you need to get started (less than you think)
- How CRM Optimization layers onto your existing stack without replacing it
You'll learn how Postie's CRM Optimization ingests your POS and e-com data, layers in third-party signals, and identifies the customers who need a nudge vs. the ones who were buying anyway. Plus a real use case showing how incremental revenue compounded long after the campaign closed.
Inside this playbook:
- Why rules-based CRM programs cannibalize your own margin
- How reinforcement learning finds timing signals humans miss
- The difference between measuring incrementality and creating it
- What data you need to get started (less than you think)
- How CRM Optimization layers onto your existing stack without replacing it