Limited Segmentation
Product interest, purchase history, customer value, and inactivity were not consistently reflected in campaign eligibility.
At a multi-brand ecommerce business, I designed a structured lifecycle program across acquisition, purchase, retention, reactivation, and reporting.
Performance overview for May 1 – May 31
Attributed Revenue
$1,248,390
28.4%
vs Apr 1 – Apr 30
Campaign Revenue
$842,715
24.7%
Automated Flow Revenue
$405,675
32.1%
Planned Sends
46
Scheduled
In an in-house role, I designed the customer segments and automation logic, connected customer and ecommerce data to the ESP, built email templates and journeys, and organized campaign planning and performance reporting. The deliverables included a journey map, campaign calendar, reusable templates, and operating documentation.
Email activity existed, but the customer journey was not managed as one system.
Customer records, ecommerce behavior, scheduled campaigns, and triggered messaging were not consistently organized around lifecycle stage. Batch campaigns carried most of the workload, segmentation was limited, and reporting did not clearly separate automated flows from scheduled sends.
Product interest, purchase history, customer value, and inactivity were not consistently reflected in campaign eligibility.
Lead capture, cart recovery, post-purchase, cross-sell, and reactivation were managed as separate activities.
The team could see send-level performance, but not one lifecycle revenue view across flows and campaigns.
A governed lifecycle model connected data capture, automation, campaigns, and reporting.
The work established clear audiences, lifecycle stages, trigger logic, campaign rules, suppression logic, ownership, QA, and measurement.
Connected customer, product, order, and behavioral data to the ESP so segments and automations could use consistent inputs.
Defined prospect, first-time customer, repeat customer, VIP, and lapsed audiences using customer and behavioral data.
Built lead capture, welcome, browse recovery, cart recovery, post-purchase, cross-sell, replenishment, and winback journeys.
Built reusable email templates for campaigns and automated journeys with consistent structure, styling, and content modules.
Coordinated product lines, audiences, promotions, lifecycle support, owners, and send dates.
Created a shared view of campaign and flow performance across engagement, conversion, and attributed revenue metrics.
I connected behavior-based journeys with reusable email templates, a shared campaign calendar, and reporting that separates automated flows from scheduled campaigns. The calendar preview above recreates the planning structure with representative data.
Welcome, browse and cart recovery, post-purchase, cross-sell, replenishment, and winback flows use customer and order signals.
A shared calendar records audiences, promotions, owners, and send dates alongside reusable email templates.
Separate views of automated journeys and scheduled sends support review of engagement, conversion, and attributed revenue.
Lifecycle moved from a send calendar to an intentional, personalized, smart customer messaging system.
Each message ties to an audience, trigger, owner, suppression rule, and metric. Triggered journeys and scheduled campaigns work from the same customer model, and reporting separates flow performance from campaign performance.
Audience movement is based on behavior, purchase history, value, and inactivity.
Automation, promotional sends, transactional messaging, and campaign planning operate from one model.
The team can compare flow revenue, campaign revenue, repeat purchase, and list growth in one view.
Triggers, exclusions, QA, launch status, and reporting responsibilities are documented.
I can build the audiences, automation logic, campaign operations, and measurement around the tools already in place.