Solution
Dynamic audience segmentation, behavioural triggers, lifecycle journeys. Every cohort sees the experience most likely to convert it — built and optimised by AI agents, kept human-readable for your team.
Overview
Old-style personalisation tried to act on individual users — invasive, fragile, increasingly impossible after privacy changes. Modern personalisation works at cohort level: meaningful segments, behavioural triggers, lifecycle journeys. More effective, more durable, less creepy.
Capabilities
Cohorts defined by behaviour, not demographic. Updated continuously as users move between segments.
Welcome, activation, engagement, retention, win-back. Email + SMS + WhatsApp + push, sequenced and tested.
Cart abandonment, browse abandonment, post-purchase, repeat-buyer activation. Real-time event-driven flows.
Hero, recommendations, navigation, pricing display — adapted to the cohort with cookieless logic.
One cohort definition. Used by VIMP01 on paid, VIMC01 on creative, lifecycle in CRM. No conflicting messages.
Predicted-LTV signals fed into VIMP01's bid model. Pay more for high-LTV cohorts, less for low-LTV.
Method
VIMD01 builds cohorts from CRM, behavioural data, and predicted-LTV. VIMS01 agrees the priority cohorts to design for.
VIMC01 designs the journey: trigger, channel, message, frequency, exit conditions. Documented and visualised.
Implementation in your CDP / CRM / on-site logic. We integrate with most platforms (Klaviyo, Braze, Iterable, custom).
A/B against control. VIMD01 measures incremental contribution. Winning journeys scaled, losing ones retired.
Driving agents
VIMD01 defines and maintains the cohorts. VIMC01 produces the messaging for each cohort and journey. VIMS01 decides which cohorts to prioritise. VIMP01 uses the cohorts in paid bidding.
"Cohort: 'Browsed-not-bought, AOV-eligible'. Trigger: 3+ product detail views in 7 days, no cart action. Step 1 (Day 0, 18:00): WhatsApp from concierge with one curated piece. Step 2 (Day 3): Email with editorial framing of the same piece. Step 3 (Day 7): Paid retargeting ad amplifying step 2 creative." — VIMC01 + VIMD01 designed
Outcomes
Cohort-targeted experiences typically lift conversion 30–60% versus undifferentiated control.
Lifecycle email/SMS/WhatsApp typically grows from ~10% to 25–35% of total revenue once the journey set is mature.
Targeted post-purchase + repeat-buyer journeys lift 60-day repeat rate measurably.
Cohort-specific cadence reduces unsubscribe rate — fewer mass-broadcast irrelevant emails.
VIMP01's blended ROAS climbs because he's bidding more for cohorts more likely to repeat-buy.
One cohort layer feeding paid, organic, lifecycle. Stop maintaining four different "VIPs" lists.
FAQ
Not strictly — but a CDP makes cohort orchestration much cleaner. We work with most CDPs (Segment, Rudderstack, mParticle) and can run the project to "build a CDP" inside your existing stack if you don't have one.
Cohort-level personalisation is privacy-friendly by design — we don't act on individual identity, just on cohort membership. Where consent is required (cookies, marketing emails), we respect it.
If you do it right, no — the experience just feels more relevant. We avoid hyper-personalised messaging that surfaces individual-level inference; cohort-level is enough to lift conversion without making customers uncomfortable.
2 weeks for cohort definition + journey design. 4–6 weeks for first measurable lift on lifecycle revenue. 8–12 weeks for sustained share-of-revenue uplift from email/SMS/WhatsApp.
