Use case
From the field, AI native workflow redesign of lifecycle personalisation process within Lifecycle / CRM and marketing operations Marketing function.
Get the playbookA senior Convolving delivery team partnered with the lifecycle and marketing operations function for one sprint. Operators from our expert network – with fifty-five combined years inside CRM, CDP, and martech teams – reviewed the redesign at each checkpoint. Forward-deployed engineers built inside the team's existing CDP, ESP, and warehouse stack. One flat fee, artifact out, no retainer creep.
Today the cycle runs roughly a quarter from goal to in-market journey. A lifecycle lead, an analyst writing SQL, a copywriter, and a compliance reviewer for regulated copy.
Ninety-eight percent of AI-using marketing teams cite a data issue. Seventy-six percent of organisations report fewer than half of their CRM records are accurate or complete. Segments are built by hand in SQL, variants are written from blank, and attribution lags by weeks – so the team cannot tell which variant moved revenue before the next cycle starts.
Click any node to see the activities and tools behind it. Open the canvas in fullscreen for the horizontal view.
Ninety-eight percent of AI-using marketing teams cite a data issue. Seventy-six percent report fewer than half of CRM records accurate.
SQL cohorts and hand-written variants throttle every cycle. The team ships two to four variants where buyers expect dozens.
Regulated-copy review delays the lifts. Attribution lags so far behind send that the next cycle starts before the last one is read.
Same six steps. Click any node to see what the redesign does in that step.
The redesign above ships as a step-by-step playbook. Identity-resolution map, segmentation rule library, variant prompt set, disclosure register, attribution model, and the rollout cadence we use on engagements.