Email Intelligence & Optimization Platform
Turn email data into better decisions.
EmailImpulse connects email performance, customer behaviour and business context, explains what changed and why, recommends what to do next, and measures whether it worked.
Performance intelligence
Winback programme
Open rate
41.2%
+1.1%
Click rate
3.9%
−18%
Rev / email
€0.37
−11%
Click rate on the winback flow dropped 18% over three sends.
Concentrated in the 90–180 day inactive segment. Send frequency rose 40% in the same window.
Cap the winback flow at two sends per fortnight for the fatigued segment.
+9–14% CTR
low
The gap
Reporting is only the beginning.
Your ESP already tracks campaigns. Your BI stack already draws the charts. AI can already answer questions about the data. The part nobody owns is the step in between: reading the signal and deciding what to do about it.
Dashboards show, they don’t decide
A falling click rate is easy to plot. Whether it matters, why it moved, and what to change are left to whoever has time to investigate.
Context lives in separate tools
Performance sits in one place, audiences in another, conversions in a third. The numbers rarely meet, so the conclusions are guesses.
You find out late
Problems surface when a number is already down for the quarter — after the sends that caused it have gone out.
More dashboards don’t produce better decisions.
What it is
More than email analytics.
EmailImpulse is an Email Intelligence & Optimization Platform built specifically for email marketing. It connects campaign, customer, engagement and conversion data, applies email-specific logic, and turns those signals into insights, recommendations, experiments and optimization actions.
Architecture
One platform. Two connected layers.
Intelligence without optimization produces interesting reports. Optimization without intelligence produces guesswork. EmailImpulse connects both, so understanding and action feed each other.
Understand what matters.
- What happened, and what changed?
- Why did it change?
- Does it actually matter?
- Which customers were affected?
- Where are the opportunities?
- Performance & customer intelligence
- Lifecycle & journey analysis
- Pattern, anomaly & opportunity detection
- Predictive scores — churn, propensity, loyalty
- Diagnostics & alerts
Turn intelligence into action.
- What should we do next?
- Which audience should we target?
- What should we test?
- Can the test give a real answer?
- Did the change improve the outcome?
- Recommendations & next-best actions
- Advanced segmentation & audience optimization
- Experiment design — power, MDE, sample size
- Randomization, balancing & significance
- Accessibility auditing & auto-fix
The loop
From a reporting loop to a learning loop.
Each decision produces a result. Each result teaches the next decision. EmailImpulse closes that circuit so your email programme compounds instead of resetting every campaign.
- 01
Data
Connect the signals you already have.
- 02
Intelligence
Read patterns, drivers, risks.
- 03
Decision
Decide what deserves action.
- 04
Optimization
Change audiences, tests, journeys.
- 05
Measurement
Measure the real effect.
Intelligence
Understand what actually drives performance.
EmailImpulse reads your email data the way an analyst would — in context — and surfaces the changes worth your attention before they show up in a quarterly number.
- Diagnostics
- Explain a move in a metric by its likely drivers: audience mix, send frequency, campaign type, lifecycle stage.
- Anomaly detection
- Catch shifts as they happen, separated from normal week-to-week noise.
- Customer intelligence
- See which segments changed, not just that an average moved.
- Predictive scores
- Churn risk, purchase propensity and loyalty as working signals, not one-off exports.
Click rate on the winback flow dropped 18% over three sends.
Concentrated in the 90–180 day inactive segment. Send frequency rose 40% in the same window.
Signal
Click rate on the winback flow fell 18% over three sends.
thenEvidence
The drop concentrates in the 90–180 day inactive segment; frequency rose 40% in the same window.
thenInterpretation
Over-mailing a fatigued segment, not a content problem.
thenRecommendation
Cap the winback flow at two sends per fortnight for that segment and re-test subject framing.
thenExpected impact
+9–14% click rate recovery; low risk to revenue.
Decisions
Turn analysis into action.
A recommendation is only useful if you can see the reasoning behind it. EmailImpulse shows the whole chain — from the signal that triggered it to the impact you can expect.
Cap the winback flow at two sends per fortnight for the fatigued segment.
+9–14% CTR
low
Optimization
Know what to change — and whether it worked.
A test is worth running only if it can answer the question. EmailImpulse sizes the experiment before you send, then validates the result after — so you ship changes on evidence, not on a p-value that never had the power to be trusted.
- Hypothesis
- A named, testable change
- MDE
- The smallest effect worth detecting
- Sample size
- How many recipients it takes
- Power
- The odds of seeing a real effect
- Randomization
- Groups split without bias
- Balancing
- Comparable audiences on both sides
- Significance
- A result that holds up
- Validation
- Did the outcome actually improve?
Audiences
Find the opportunities hidden inside your list.
Averages hide the customers who matter most. EmailImpulse groups your audience by behaviour and lifecycle so you can act on the segments that move the outcome.
Lifecycle stage, send-time behaviour, propensity and value — combined, not viewed one metric at a time.
High-value, at risk
Rising engagement
Loyal core
Dormant, winnable
New, unproven
Fatigued
AI
AI built on intelligence — not raw data.
EmailImpulse does not point a general-purpose model at your raw tables and hope. AI reasons across the structured intelligence layer: governed metrics, email concepts, analytical outputs and approved actions.
Operates on
- Governed metric definitions
- Email-specific semantics
- Analytical outputs, not raw PII
- Predefined workflows & approved tools
Within boundaries
- Minimum context per task
- No open access to raw customer tables
- Customer isolation & prompt boundaries
- Human approval where it counts
- Revenue per email fell 11% (€0.42 → €0.37).
- Driver: promotional mix rose from 40% to 65% of sends.
- The transactional-adjacent segment was over-mailed.
- Suggested test: reduce promo frequency for that segment.
Where it fits
Not another dashboard.
EmailImpulse doesn’t replace your ESP — it puts an intelligence layer over it. It brings your email and customer data together in its own model, turns it into email-specific intelligence, and pushes better segments back for sending. It isn’t a self-service BI tool. But its dashboards are built for email, so they can take over the reporting you rely on your BI stack for today.
ESPs
Execute email.
BI tools
Visualise data.
Marketing Intelligence
Consolidate performance.
CDPs
Organise customer data.
EmailImpulse
Understand and optimize email.
| Capability | BI tools | Marketing Intelligence | EmailImpulse |
|---|---|---|---|
| Connect data | Yes | Yes | Yes |
| Dashboards & reporting | Yes | Yes | Yes |
| Email-specific semantic layer | — | Limited | Yes |
| Explain performance changes | Manual | Partial | Yes |
| Detect opportunities | Manual | Partial | Yes |
| Recommend actions | — | Generic | Yes |
| Experiment design & validation | — | Limited | Yes |
| Audience optimization | Manual | Limited | Yes |
| Email-specific decision logic | — | — | Yes |
Built with email logic already inside.
General analytics gives you infrastructure. EmailImpulse brings the models, metric definitions, relationships and statistical methods that email marketing needs — so the platform understands campaigns, lifecycle and experiments out of the box.
Trust
Intelligence without giving up control.
EmailImpulse processes customer, behavioural and conversion data. Privacy and security are architectural choices here, not a page in the footer — they shape ingestion, storage, access, AI and deletion.
Data flow
Privacy by design
Data minimization, pseudonymization and access rules are built into the architecture, not added afterwards.
Pseudonymous by default
Stable pseudonymous identifiers instead of treating email addresses as permanent analytical keys, wherever the use case allows.
AI with boundaries
Models receive the minimum context for a task — governed metrics and structured interfaces, not open access to raw tables or PII.
Your data stays yours
Customer data is processed to run the service. It is not repurposed or used to train shared AI models.
Deployment flexibility
EmailImpulse runs on its own warehouse — managed BigQuery and PostgreSQL. A bring-your-own-database option for stricter data-residency needs is on the roadmap.
Access & control
MFA, role-based access, session controls, monitoring, and customer-controlled export and deletion.
“Bring intelligence to the data — rather than moving more data into another black box.”
Integration
An intelligence layer over your ESP.
EmailImpulse connects to your ESP and the customer sources around it, brings that data into its own model, and turns it into intelligence and optimization. Segments can flow back to your ESP for sending. It complements the tool you send from — it doesn’t replace it.
EmailImpulse
intelligence layer
Get started
Your email data already knows more than your dashboards show.
See how EmailImpulse reads it, explains it, and turns it into decisions you can measure.