Marketing Automation

Emarsys

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Panel rating · 6 judges · How to read the stars

Category median

Sovereignty: 1 of 4 dimensions proven

0–5 in half steps. 5 means the rubric's top anchor is met on the evidence.

by SAP Emarsys · emarsys.com

An AI-assisted analysis of public evidence — not a hands-on test.

Every score, rationale and verdict on this page is AI-generated. Every claim cites the source it was read from. Nothing here is a human star review — and no score can be bought. How scores are made →

Method and versions

The Demand Gen Lead v1.0 · The Sales Ops Manager v1.0 · The Data Protection Officer v1.0 · The Lifecycle Marketer v1.0 · The Solution Architect v1.0 · The Skeptic v1.0 · rubric v1 · evaluated 15 Sep 2026

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Read this page as one judge. Each weighs the same scores by what they care about.

The Data Protection Officer

Weighted verdict

Sees a profiling system, not a mailing tool. Wants consent reproducible per person, tracking that can be switched off for someone who never agreed to it, deletion that removes derived scores as well as raw events, and scoring documented well enough to assess under Art. 22.

Same scores as the panel view — this lens weights them the way this judge cares.

Scored by The Data Protection Officer

Journeys & orchestration

How this is scored

Multi-step automation: triggers, branching, waits, and — the part that decides whether it survives contact with reality — what happens when journeys collide.

0 — Autoresponders on a single trigger; no branching, no waits, no conditions.

3 — Linear sequences with simple conditions, one entry trigger per journey, and no visibility into where a contact currently sits.

5 — A visual builder with branching on attributes and behaviour, waits and goals, entry and exit conditions, and per-contact journey state visible.

8 — Event-driven entry from external systems, frequency capping and suppression across journeys, priority when a contact qualifies for several, versioning of a live journey, and testing against real records.

10 — Orchestration is coherent across the whole programme: one decision layer deciding what a person receives next regardless of which journey wants to send it, holdout groups for measurement, and a journey a colleague can read months later without a diagram.

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The Data Protection Officer

All I have is marketing copy — 'sophisticated, cross-channel journeys at scale' and pre-built 'tactics' — with nothing evidenced on branching, waits, entry/exit conditions, per-contact state, or what happens when journeys collide. The tell for me is that suppression and frequency capping across journeys go entirely unmentioned, so a person who objected to profiling could still be swept into every path. That caps it at the low anchors. 1

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Lead scoring, routing & lifecycle

How this is scored

Scoring, qualification and handover to sales — including whether the customer can explain to a lead why the system decided what it decided.

0 — No scoring or lifecycle model; every contact is treated alike.

3 — A single additive score with fixed rules, no decay, no lifecycle stages and no routing.

5 — Configurable scoring on attributes and behaviour with decay, lifecycle stages, and routing to owners or teams with notification.

8 — Multiple scoring models per product or region, negative scoring, account-level scoring alongside contact-level, SLA on follow-up, and score history visible per contact.

10 — Scoring is explainable and accountable: the contribution of each signal visible per record, model changes versioned with their effect on the funnel, routing rules auditable, and predictive scoring — where offered — documented well enough for a DPO to assess it as automated decision-making.

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The Data Protection Officer

No lifecycle model, no routing, and no per-person score is evidenced anywhere; the nearest claim is 'use AI to predict campaign performance,' which is campaign-level, not a decision about an individual. I need predictive scoring documented well enough to assess under Art. 22 and there is literally nothing to assess. 1

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Channels & personalisation

How this is scored

What the platform can actually send and personalise: email, SMS, push, on-site content, ads audiences — judged on what shares one profile and one suppression list.

0 — Email only.

3 — Email plus one further channel, managed separately with its own list and no shared suppression.

5 — Email, SMS or push and web forms driven from one contact profile, with dynamic content blocks and shared unsubscribe handling.

8 — The above plus on-site personalisation, ad-audience sync to the major networks, cross-channel frequency capping, and content personalised on behaviour rather than only on stored fields.

10 — Channel is a delivery detail: one profile and one consent state across every channel, next-best-channel selection, and personalisation that draws on the full behavioural record without the marketer assembling it by hand.

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The Data Protection Officer

Ten channels from email to call centre are listed, with advertising and Google audience integrations, all claimed to hang off one customer-data layer that personalises 'across every channel.' What's absent is exactly what I weigh: a single consent state and shared suppression spanning those channels, and cross-channel frequency capping — none of it appears, so it stays below the 8 anchor despite the breadth. 1

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Consent, tracking & profiling

How this is scored

The platform builds behavioural profiles of named people. Consent capture and proof, tracking that can be limited, retention, and whether automated decisions about individuals are documented and contestable.

0 — Tracking always on and undocumented, single opt-in, no consent record, no retention rule, no way to exclude a person from profiling.

3 — Double opt-in available with a timestamp, cookie tracking that cannot be disabled per contact, and retention described as the customer's problem.

5 — Double opt-in as documented default with a stored consent record including source, per-channel consent states, tracking switchable per contact, and stated retention for inactive records.

8 — Consent reproducible as evidence with the wording versioned, profiling suppressible per person, retention executed per data category, documented handling of access and erasure requests including derived scores, and a cookieless or first-party tracking mode.

10 — Built for the accountability principle: a per-contact history of what was tracked, scored and decided, automated decision-making documented well enough to support an Art. 22 assessment, profiling off by default for anyone who has not consented to it, and deletion that removes derived scores as well as raw events.

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The Data Protection Officer

What exists is a website privacy policy — cookies 'for the purposes set out in the Cookie Statement,' a retention section heading, and an enumerated rights list including objection and consent revocation — which sits between the 0 and 3 anchors. Not one product capability is evidenced: no double opt-in, no stored consent record with source, no per-channel consent states, no per-contact switch for tracking or profiling, and nothing saying erasure reaches derived scores or that the AI predictions feeding personalisation are documented for automated-decision-making review. This is the criterion I care about most and it is the least substantiated. 2 1

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CRM integration & data model

How this is scored

The join that decides the implementation: how the platform and the CRM stay in agreement about who a person is, and what happens when they disagree.

0 — CSV import and export; no CRM integration and no identity resolution.

3 — One-way sync into a named CRM on a schedule, with duplicates resolved by hand and no conflict rules.

5 — Bidirectional sync with at least one major CRM, field mapping, deduplication rules, and a sync error log somebody can act on.

8 — Configurable conflict resolution per field, account and contact objects both modelled, custom objects supported, near-real-time sync with retry, and a documented API with rate limits.

10 — One record, two systems, no ambiguity: identity resolution across anonymous and known states, field-level ownership defined per system, replay of failed syncs, and a data model the customer can extend without vendor services.

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The Data Protection Officer

'SAP Integrations,' technology partners, and a claim to 'bring together data sources across your business' is the entire evidentiary basis — no bidirectional sync, field mapping, conflict rules, sync logs, or identity resolution across anonymous and known states. For a profiling platform that join is where lawful basis gets muddied, and it is undocumented. 1

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European sovereignty

How this is scored

Where behavioural profiles of named EU residents are processed, who the contracting entity is, and which subprocessors see them. Independently sourced by the sovereignty pipeline; scored here as this buyer weighs it — which given the profiling is heavily.

0 — Non-EU vendor and contracting entity, hosting unstated or non-EU, subprocessors unnamed, behavioural data leaving the EU with no stated basis.

3 — EU data residency for storage while tracking, sending or support access remain non-EU, or the contracting entity sits outside the EU.

5 — EU hosting as standard and an EU contracting entity, but parts of the chain — tracking scripts, AI scoring, analytics — are non-EU without an explained safeguard.

8 — EU hosting on named infrastructure, EU contracting entity, complete subprocessor list published, and any non-EU processing named with its legal basis.

10 — Sovereign end to end and evidenced: every profile, event and derived score processed in the EU by European subprocessors, certification published, and no transfer requiring a Schrems II argument to survive.

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The Data Protection Officer

A Vienna entity is named, but the same sentence allows 'any other member of the global SAP Group' to be the responsible entity, hosting is unstated, the subprocessor list is absent, and recipients include SAP Group members, providers and partners. I weigh this heavily given the profiling: behavioural profiles of named EU residents, an unfixed contracting entity, and no published residency or processor chain barely clears the floor. 2

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Pricing transparency not rated — the vendor publishes no price

How this is scored

Whether a buyer can compute the real annual invoice for their contact base and send volume — including the tier where automation actually begins, overage, and mandatory onboarding — from public pages alone.

0 — No public prices at all; every tier is a sales conversation, and onboarding fees are never mentioned.

3 — A contact-tier headline exists, but the tier where journeys, scoring or CRM sync begin is unstated, as is any mandatory implementation fee.

5 — Contact-tier prices public with billing period and send limits stated, but at least one commonly needed capability sits in an unpriced enterprise tier.

8 — Every tier priced publicly with contact and volume limits, feature boundaries, overage rates, onboarding costs, minimum term and VAT treatment stated.

10 — Complete price computability: annual invoice derivable for a given contact count, send volume and feature set, including overage, additional users and any implementation fee stated outright.

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The Data Protection Officer

The only commercial artefact on the evidence is 'Request a demo' — no prices, tiers, send limits, feature boundaries or onboarding fees anywhere. That is the anchor-0 case verbatim. 1

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European sovereignty — proven facts

1 of 4 dimensions proven

Built only from facts shown on the vendor's own pages. A dimension we could not prove is left open, not scored as zero.

Legal entity	Incorporated in AT ⚠ unverified	3/3 pts	2 Report an error
Ownership	Not determined ⚠ unverified	—	uncited Report an error
Data residency	Not determined	—	uncited Report an error
Subprocessors	Not determined	—	uncited Report an error

Where this could be wrong

Evidence ages. The oldest capture behind this page is from 2 Sep 2026. Vendors change pricing and policies without notice; every fact reflects its source as of the capture date shown in the registry.
Weak sourcing — Ownership. Not confirmed on the vendor’s own pages as captured.
Weak sourcing — Legal entity. The responsible entity may alternatively be 'any other member of the global SAP Group' whose jurisdictions are not given, and this comes from the privacy statement rather than an imprint/legal disclosure page.
AI can misread a source. Extraction and judgement are automated; a citation guarantees traceability, not infallibility. If something here is wrong, say so — no account needed, every report is decided within 5 business days, and accepted corrections are published.

What we left out

A claim that does not survive our checks costs us the claim, not the page. This is what was taken off this one.

We found no public information on pricing on the pages we read (emarsys.com, emarsys.com/privacy-policy). If the vendor publishes it somewhere else, send us the page. Know more? Tell us
1 product fact could not be confirmed on the vendor’s page as captured and was left out of this page and of the panel’s material. Know more? Tell us
1 support fact could not be confirmed on the vendor’s page as captured and was left out of this page and of the panel’s material. Know more? Tell us
1 sovereignty dimension could not be confirmed on the vendor’s own pages and is shown as unknown. Know more? Tell us
6 of the readings below were written against an earlier fact sheet — a fact has been corrected, added or pulled since. Until the panel next runs on this product you are reading the older judgement. Know more? Tell us

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Sources (2)

The pages every claim on this page was read from — each one checked, dated, and kept verifiable.

1 Vendor homepage emarsys.com Checked 15 Sep 2026 +1 earlier capture: 2 Sep 2026 Details →
2 Privacy policy emarsys.com Checked 15 Sep 2026 Details →