Email/CRM Marketing
Launching a retention and resale system: collecting events and attributes segmentation*, trigger chains, delivery SPF*/DKIM*/DMARC*, templates, A/B tests and dashboards OR*/CTOR*/revenue*.
Request audit and launchWhy do you need Email/CRM business?
Paid traffic is getting more expensive, while owned channels - email, push, and messengers - create predictable revenue. We build the loop: event collection -> profiles and segments -> content and templates -> triggers -> deliverability -> analytics and growth.
Business effects
- +12-30% of retention revenue from personalized triggers.
- 15-35% of CAC due to the return and reactivation of the existing base.
- Transparent metrics: OR/CTOR/CR, revenue from the letter/session/segment.
Tools and architecture
The stack covers the full cycle: data collection and normalization → segmentation → content and templates → trigger scenarios → deliverability → analytics and growth.
Data and profiles
- Web/app/server events: subscription, viewing, addition, order, refusal, return.
- 360° profiles: e-mail, phone, attributes, consents, subscription status, RFM/CLV.
- Segments: behavior, price sensitivity, life cycle stage.
Content and templates
- Modular template library (header/body/cards/CTA, dark theme, mobile-first)
- Personalization: name, goods/services of interest, dynamic blocks and recommendations.
- A/B tests of themes/pre-headers/design/CTA, auto-selection of winners.
Trigger scenarios
- Welcome/Double Opt-in, Dropped View/Tab/Basket, Price-drop/back-in-stock.
- Onboarding and First Value, up/cross-sell, winback and re-activation.
- Frequency Capping, Channel Priorities, Spam Jammers
Domain delivery and protection
Communications outside of e-mail
- Link to SMS/push/messaging, channel prioritization and anti-cannibalization.
- CRM/order/support triggers (CSAT/NPS, repeat contacts)
- Export of audiences to advertising (retargeting/similar), agreed frequency limit.
Reports and dashboards
- OR/CTOR/CR, revenue from the letter/chain/segment, contribution to LTV/retention.
- Base burnout map: active/sleepy/risky, MED/90-day activity.
- Alerts: drop in delivery, increase in complaints, blockage, overfrequency.
Typical stack
Implementation process
(1) Diagnosis and objectives
Base and Event Audit, Delivery Check, Goals: Email Revenue, Share of Triggers, Reactivation, NPS.
(2) Data and segments
Event collection/normalization, profiles and consents, RFM/CLV clusters, risk segments (inactive/sleepy).
(3) Content and templates
Modular template library, preheaders/themes, personalization, availability checklist and mobile layout.
(4) Triggers and frequencies
Welcome/Onboarding/Cart/Winback/Price-Drop/Back-in-Stock, priorities and frequency capping.
(5) Delivery and protection
SPF/DKIM/DMARC, warm-up, cleaning, seed-lists, FBL, preference center, 1-click unsubscribe.
(6) Analytics and growth
Dashboards OR/CTOR/CR/revenue, cohort-retention, A/B-plan, weekly insights and segment updates.
What do you get?
Artifacts
- A chart of events and profile attributes (tracking plan) and a segment map.
- Library of letters and blocks templates (modular design systems).
- Trigger card: goals, audiences, frequencies, content, metrics.
Infrastructure
- Domain authentication, DMARC reporting, seed list, delivery monitoring.
- Dashboards of revenue / conversions, alerts, unloading for BI / CRM.
- Preference Center and Opt-out/Consent Policy.
Growth and support
- Plan A/B-tests: topics, preheaders, layouts, offers, recommendations.
- Weekly reports: OR/CTOR/CR/revenue, deliverability, burn-rate base.
- Team training and campaign release procedures and triggers.
Examples of KPI
- E-commerce: share of revenue from e-mail, AOV on triggers, CR basket → payment.
- SaaS: welcome→activation, PQL→SQL, ARPPU, churn among the involved.
- B2B: CR lead→meeting, response rate, nurture chain revenue.
Cases
E-commerce: Triggers and Personalization
Implemented welcome, cart, back-in-stock, and price-drop flows plus personalized cards. Result: +19% retention revenue, OR from 37% to 46%, complaints below 0.1%.
SaaS: onboarding and winningback
Chains "first value", product-tips, winback inactive 30/60/90. signup→activation +11 p.p., churn -2.3 p.p.
B2B: nurture and content
Series by segment (role / industry), cases and ROI calculators, reactivation of old MQL. CR lead → meeting +22%, win-rate in the shortlist +6 p.p.
Checklists and quality control
Before launch
- SPF/DKIM/DMARC are valid, the domain is warmed up, PTR/HELO is correct.
- Double Opt-in for new subscriptions, 1 click unsubscribe and preference center.
- Exclusions segments: recently unsubscribed, complainants, hard-bounce.
Content and UX letters
- The theme ≤ 60 characters, the preheader complements, does not duplicate the theme.
- Mobile layout, large CTAs, alt-texts, contrast and readability.
- Legal details and address of the sender, privacy and conditions.
Deliverable
- Spam-rate < 0.1%, bounce-rate < 2%, FBL complaints - respond within 24 h.
- Seed list and inbox placement tests by major providers.
- Speed/volume: gradual promotion, limits on segments and domains.
Metrics and improvements
- OR/CTOR/CR, revenue per letter/chain, share of triggers in revenue.
- Burnout map: “last open/click”, MED-activity, winback-branches.
- Plan A/B for 8-12 weeks: themes, time of shipment, offers, layouts.
| Signal. | Threshold | Action. |
|---|---|---|
| Spam-rate | > 0.1% | Stop campaigns, clean the base, reduce frequency, review topics / content |
| Bounce-rate | > 2% | Remove hard-bounce, postpone domains with problems, repeat warming up |
| OR fall | -20% to the median | A/B themes/preheader, resegmentation, check inbox placement |
| Burnout of the base | > 40% dormant | Winback chains, frequency reduction, change of formats and offers |
FAQ
How long does the base launch last?
Usually 7-10 business days: events and profiles → templates → triggers → authentication → dashboards → first A/B tests.
Is it possible without a complex CDP?
We start with the basic events and segments, then we build profiles and channels, and we start with the integrations as a priority.
What about legality and consent?
Double Opt-in, transparent purposes, storage of consents, 1-click unsubscribe, masking of personal data and access differentiation.
How do you calculate the contribution of e-mail to revenue?
Direct conversions + assisted, 3/7/30 day attribution windows, retention cohorts and the share of revenue of triggers vs. mailings.
Decoding of terms
- SegmentationBreaking the base by behavior, value and interests.
- OROpen Rate – the share of discoveries to delivered letters.
- CTORClick-to-Open Rate – Click-to-Open Rate.
- Revenue of the letter: income attributed to the shipment/chain.
- SPF: A record that allows servers to send mail from a domain.
- DKIM: Cryptosigning of the letter for authentication.
- DMARC: SPF/DKIM verification policy and domain reporting.
- FBLFeedback Loop – reports of spam complaints from providers.
- Suppression list: a list of addresses we do not send (unsubscribe, complaints, bounces).
- RFM: prescription/frequency/sum of purchases to assess customer value.
- CLV/LTV: lifetime value of the customer.
- Double Opt-in: Confirmation of subscription through letter.
- Frequency capping: limiting the frequency of emails to the user.
Are you ready to turn your base into a predictable income?
We will configure events and profiles, build templates and triggers, improve deliverability, and provide clear dashboards. In a couple of weeks you will see retention revenue growth.
Request an audit and work plan