LIFECYCLE AUTOMATION
CDP & Retention Engineering
Identity graph, RFM + LTV + churn scoring, 12-18 lifecycle flows, channel orchestration and control-group experimentation — a full operation that builds retention as an engineering discipline, not a 'campaign'.
Acquisition is expensive, retention isn't negotiable; but every company that runs retention as 'monthly newsletters' is silently re-paying its CAC.
Retention's paradox: most brands treat it as a marketing activity, when successful retention is actually a product engineering discipline — identity graph, RFM/LTV/churn scoring, lifecycle automation, experimental design and channel orchestration. Roibase's retention engineering is built on six principles; every principle produces 'fewer but more triggering actions' instead of 'more emails'.
METHODOLOGY
DIAGNOSE to ARCHITECT to AUTOMATE to EXPERIMENT to OPTIMIZE to GOVERN — retention engineering
A six-stage process; every stage produces a written decision, a test and a transferable output.
01
DIAGNOSE
Retention curve, cohort decay, segment health, channel performance, deliverability + consent audit; the quantitative visibility of lost revenue.
02
ARCHITECT
Identity graph, segment strategy, KPI tree, lifecycle flow map and experiment design; stakeholder approval and 'north-star metric' are set.
03
AUTOMATE
CDP + ESP + SMS + push + in-app integration; 12-18 flows go live; every flow starts with a control group.
04
EXPERIMENT
Weekly experiments with statistical power calculations; incremental lift + interaction effects are measured; winners go 'always-on', losers are killed.
05
OPTIMIZE
Segment score updates, channel mix optimization, creative/offer refresh, frequency capping improvements; on a quarterly cadence.
06
GOVERN
Consent granularity, right-to-erase pipeline, vendor DPAs, deliverability monitoring and SLA + on-call rotation handed over in writing.
— COMPARISON
ESP-only vs all-in-one CDP vs Roibase retention engineering
How three approaches define retention and what that produces operationally.
| Dimension | ESP-only (Klaviyo/Mailchimp) | All-in-one CDP vendor | Roibase retention engineering |
|---|---|---|---|
| Identity resolution | Email-only | Vendor black-box model | Deterministic + probabilistic, open model |
| Predictive scoring | None or simple LTV | Vendor default scores | Custom churn + LTV + NBA model |
| Lifecycle flow count | 4-6 core flows | 8-12 templates | 12-18 custom + control-grouped |
| Channel orchestration | Email only | Email + SMS + push | Email + SMS + push + in-app + paid + web |
| Experiment discipline | Ad-hoc A/B | Vendor A/B tool | Control group + power analysis + incremental lift |
| Governance + consent | Basic opt-out | Vendor DPA + consent signal | Runbook + granular consent + RTE pipeline |
| Warehouse + reverse ETL | None | Limited connectors | Warehouse-native, vendor-agnostic |
| Total annual cost | 40-90k€ (ESP + SMS) | 180-400k€ (CDP license heavy) | 110-240k€ (operation + warehouse) |
PROOF
Outcomes, measured
Average in the first 6 months after winback + activation flows.
After Klaviyo migration + segment rewrite + deliverability repair.
Over 12 months with predictive churn score + proactive outreach + offer testing.
Segment average after lifecycle flow count grew from 5 to 14.
After SPF/DKIM/DMARC + BIMI + ISP reputation monitoring.
Typical number of live control-grouped flows in an implementation.
WHAT WE DO
Engagement scope
Every offering is an outcome-based work package. Roibase blends strategy and execution inside a single team — no hand-offs.
Identity resolution
Deterministic (email/phone/user_id) + probabilistic (fingerprint, household) matching; a single customer graph + cross-device journey.
RFM + LTV scoring
Every customer gets predictive LTV + recency/frequency/monetary tier + churn probability; segments are built on these scores.
Churn probability model
Gradient boosting + behavioral features produce 30/60/90-day churn probability; high-risk segments trigger proactive outreach.
Lifecycle journey mapping
Welcome, activation, repeat, retention, winback, VIP, sleep, reactivation — 12-18 flows; each with a control-group A/B and statistical power calculation.
Channel orchestration
Email + SMS + push + in-app + web + paid retargeting under a single frequency cap + channel priority rules; the user is reached without fatigue.
Experimentation platform
Control group + power analysis + Bayesian or sequential testing for every automation; nothing scales without measured incremental lift.
Next-best-action engine
The next best action per customer (product recommendation, channel, offer); pushed to activation channels via reverse ETL.
Deliverability + consent ops
SPF/DKIM/DMARC setup, BIMI logo, ISP reputation monitoring, consent granularity and right-to-erase pipeline.
CDP platform
Segment, RudderStack, mParticle, Bloomreach, Klaviyo Data Platform or warehouse-native CDP (Census/Hightouch) — vendor-agnostic setup based on need.
Retention KPI tree
Every metric's source, owner, threshold and triggered action is written down; one tree from D30 repeat rate to LTV/CAC.
— BENEFIT
The concrete, quantitative return of retention engineering
The financial, operational and risk impact of moving from ESP to an engineering discipline.
CAC pressure drops
Higher LTV + repeat rate makes the same CAC deliver much better payback; paid budget can flow freely into profitable segments.
Email becomes a revenue engine
After deliverability repair + segment rewrite + lifecycle flows, email grows to 25-40% of total revenue.
Churn becomes predictable
Predictive scores surface risk 30-60 days early; proactive winback + VIP retention produce real incremental lift.
Channel fatigue ends
With frequency capping + channel priority order, users aren't burned out; unsubscribe and spam complaint rates fall.
Consent + compliance assurance
Granular consent + right-to-erase + vendor DPAs make a KVKK/GDPR audit easy to defend.
Your team's capacity opens up
Automation + NBA engine + self-serve analytics move the marketing team from producing campaigns to producing strategy + experiments.
DELIVERABLES
Concrete, written deliverables for every retention project
Architecture, code, configuration, playbook and training — all handed over to your team.
Retention diagnostic report
Cohort decay, segment health, channel performance, deliverability + consent audit; 40-60 pages.
Identity graph + data model
Deterministic + probabilistic matching rules, household detection, unified customer view schema.
RFM/LTV/churn model pack
Trained models + feature registry + retraining pipeline + model card documentation.
Lifecycle playbook
Visual map of 12-18 flows, each with target metric, control design, creative brief and measurement plan.
CDP + ESP + SMS setup
Live Segment/Klaviyo/Braze/mParticle setup, event taxonomy, data contracts + monitoring.
Orchestration engine
Channel priority rules, frequency capping, suppression rules, holdout groups.
Deliverability setup
SPF/DKIM/DMARC + BIMI logo + ISP warm-up plan + reputation monitoring dashboard.
Experimentation framework
Power analysis template, Bayesian/sequential testing tools, experiment log + decision matrix.
KPI tree + dashboard
D30/D60/D90 repeat rate, LTV, churn, engagement score; metrics tied to business decisions.
Consent + RTE pipeline
Granular consent tables, right-to-erase automation, vendor DPA library, monthly audit report.
NBA engine + reverse ETL
Next-best-action generation + push to activation channels via Census/Hightouch + monitoring.
Runbook + 3-week training
Operational runbook, on-call rotation, SLA contract + 3 weeks of hands-on training for your team.
— SCOPE
What we do, what we don't — clear boundaries
The retention engineering scope is in writing; it prevents scope surprises and hidden invoices.
We do
- Retention diagnostic + cohort + deliverability audit
- Identity graph + data model design
- RFM + LTV + churn predictive model training
- 12-18 lifecycle flow implementation
- Channel orchestration + frequency capping
- Control-group experimentation framework
- CDP + ESP + SMS + push + in-app setup
- Deliverability repair (SPF/DKIM/DMARC/BIMI)
- Consent granularity + right-to-erase pipeline
- NBA engine + reverse ETL activation
- KPI tree + dashboard + alerting
- Runbook + 3-week hands-on training
We don't
- Legal counsel (DPA/consent review coordinated via partner lawyer)
- Volumetric creative production (separate scope with content/design teams)
- ESP/SMS/CDP license resale (vendor-agnostic recommendations, no commission)
- CRM sales functions (B2B sales engagement is a different scope)
- Loyalty program mechanics (a separate decision with business model + finance)
- Ad account management (separate scope with PPC teams)
- Manual monthly campaign production (scope is 'engineering', not 'campaign team')
- Customer support + helpdesk operations (coordinated with your CX teams)
HOW WE WORK
First live flow in 4 weeks, full system in 16 weeks — written cadence
Weeks 1-2: diagnostic
Cohort decay, segment health, deliverability + consent audit; stakeholder interviews + north-star metric.
Weeks 3-4: architect + quick-win
Identity graph + KPI tree + first lifecycle flows (welcome + browse-abandon) go live; first demo.
Weeks 5-6: CDP + channel setup
Segment/mParticle/Klaviyo integration, SMS + push + in-app channel connection, event taxonomy.
Weeks 7-8: predictive scoring
RFM + LTV + churn models are trained, feature registry is set up, scores start feeding segment creation.
Weeks 9-10: lifecycle expansion
Activation, repeat, retention, VIP, winback flows go live with control groups; the experimentation framework opens.
Weeks 11-12: orchestration + deliverability
Frequency capping + channel priority rules + SPF/DKIM/DMARC + BIMI; suppression + holdout configuration.
Weeks 13-14: NBA + reverse ETL
Next-best-action engine goes live; Meta CA, Google CM, Klaviyo segments pushed via Census/Hightouch.
Weeks 15-16: govern + handoff
Consent + RTE pipeline + monthly audit report + runbook; 3 weeks of hands-on training, SLA + on-call rotation handed over.
— TOOLKIT
The tools we use — vendor-agnostic but decisive choices
We pick what fits each customer; we protect independence by taking no commissions.
CDP & IDENTITY
EMAIL & MESSAGING
EXPERIMENTATION & MODELING
DELIVERABILITY & GOVERNANCE
QUESTIONS
Frequently asked
— GLOSSARY
CDP & Retention Engineering terminology
Twelve critical terms that give your team and stakeholders a shared language.
- Identity Resolution
- Linking activity across devices/channels to a single user identity; deterministic (email/user_id) + probabilistic (fingerprint/household).
- RFM
- Recency, Frequency, Monetary — the classic 3 dimensions of customer value; the foundation of scoring in modern retention.
- LTV
- Lifetime Value; a customer's total lifetime net contribution. Predictive LTV estimates it within 30/60/90 days.
- Churn Probability
- The probability that a user will leave the active base in the next N days — computed by an ML model (logistic regression, gradient boosting, survival analysis) on RFM, product-usage, payment and engagement signals. The basis for prioritising win-back and VIP communication.
- Cohort Decay
- The decline over time in activity or revenue contribution of a cohort of users acquired in a given period. In healthy products the curve flattens at some point (plateau); a cohort that decays without bottoming out is the most reliable signal of missing product-market fit.
- Lifecycle Journey
- The staged customer journey like welcome → activation → repeat → retention → winback; different messaging and offers per stage.
- Next-Best-Action (NBA)
- The engine that recommends the best real-time action (product, offer, channel, message) for each customer; a recommender + rule engine combination.
- Orchestration
- The coordination of cross-channel message flow under frequency capping + priority rules + suppression.
- Frequency Capping
- The upper limit of messages sent to a user within a time window; prevents channel fatigue.
- Deliverability
- The rate at which messages actually reach the inbox; managed via SPF/DKIM/DMARC/BIMI + reputation monitoring.
- Reverse ETL
- Pushing segments/scores from the warehouse to activation channels like Klaviyo, Meta, Google, Braze.
- Incremental Lift
- The extra revenue/behavior an automation produces compared to a control group; the real success measure of retention experiments.
- RFM Segmentation
- Scoring customers on Recency (last purchase date), Frequency (cadence) and Monetary (total spend) and bucketing them into behaviour-based cohorts. The canonical engine for win-back, VIP, dormant lifecycle signals; foundational CRM/CDP module.
- Win-back Campaign
- A communication flow targeting customers who have not purchased for a defined period (typically the RFM "dormant" segment). Reactivates with a personalised discount, a "missed you" message or a new-collection hook; success measured by reactivation rate and incremental LTV.
— DECISION TREE
Is a retention engineering operation right for you?
Answer 4 questions Yes/No; get a clear recommendation.
01 / 04
Is your active customer base 50k+?
The lower threshold for retention investment to be economically meaningful.
— LET'S BEGIN
Do you notice when customers are leaving you?
In a 3-hour retention diagnostic we surface churn patterns, the lost segment and deliverability issues.