What is included
- Email automation: welcome journey, cart, reactivation, win-back
- Deliverability program: domain setup, SPF/DKIM/DMARC, warm-up, monitoring
- Segmentation and personalisation on CRM data
- Newsletter strategy: rhythm, content, A/B tests
- A/B tests, layouts and reporting in the same system as your automation
- GDPR-compliant consent management per country (DACH, EU, UK)
Cost savings & workload
Every email at the right time – without a single manual click.
Cost savings through automation
Up to 90% of sends fully automated
Automated journeys and sending rules generate revenue alongside every campaign – without extra media budget or headcount. Revenue per contact goes up, the cost per send goes down.
Workload reduction
The list maintains itself
Journeys, sending rules and list maintenance run automatically. Your team focuses on strategy and content, not on send times and list hygiene.
Effect size depends on starting point, team size and tool stack – the concrete figure we name in the audit.
Optional: in 24/7 operation, driven by agents
This service can be operated continuously by an agent stack: budget, data, tests and delivery run on autopilot and your team shrinks to strategy and decisions. An agent stack is an option with us, not a must – we deliver the same service fully manually or in hybrid mode as well. Details below.
Autonomous agent organisation · Email Marketing
Email Orchestrator
Journeys that keep themselves in shape.
Email marketing and email automation hinge on three things: deliverability, timing and relevance. That is exactly what our agents take over: the email orchestrator coordinates deliverability, send-time, lifecycle and suppression agents so that every send arrives, fires at the right time and only reaches people who allowed it.
4 specialists on 24/7 duty – each accountable for one KPI
Deliverability Agent
● runs 24/7
KPI: inbox placement
Send Time Agent
● runs 24/7
KPI: open rate
Lifecycle Agent
● runs 24/7
KPI: CR per journey
Suppression Agent
● runs 24/7
KPI: consent compliance
all results flow in
new rules back into the agent stack – the cycle starts again
How to read the diagram: at the top, the orchestrator – it decides which actions run. Below, the agents work 24/7, each accountable for exactly one KPI. All results flow down into the self-learning loop (01 Measure → 02 Analyse → 03 Learn → 04 Apply). The new rules that emerge return into the stack via the left line – so the system gets better every week without anyone fine-tuning by hand.
The agent stack in detail
Every agent works 24/7 in the background: it consumes specific data, produces decisions or content from it and is accountable for exactly one metric.
Deliverability Agent
runs 24/7Monitors domain and IP reputation, inbox placement and spam triggers – warns early when delivery is about to drop.
- consumes
- domain and IP reputation, inbox placement, spam triggers
- produces
- early warnings and reputation protection plans
- KPI
- inbox placement
Send Time Agent
runs 24/7Optimises send time per recipient (individual best time) instead of blasting everyone at 9 a.m.
- consumes
- open and click times per recipient
- produces
- individual send windows instead of mass blasts
- KPI
- open rate
Lifecycle Agent
runs 24/7Maintains welcome, nurturing and win-back journeys, measures impact per drop and rebuilds weak blocks.
- consumes
- journey performance, purchase and unsubscribe signals
- produces
- maintained welcome, nurturing and win-back journeys
- KPI
- CR per journey
Suppression Agent
runs 24/7Applies consent, unsubscribes and GDPR deletions centrally – no send goes to anyone who does not want it.
- consumes
- consent, unsubscribe and GDPR events
- produces
- centrally enforced suppressions and deletions
- KPI
- consent compliance
Automated A/B tests
A/B tests run automatically: subject lines, preheaders, send time and content blocks are tested continuously per journey – winners are adopted without anyone having to compare reports.
Autonomy levels: who may decide what?
Autonomous – immediate
Bid adjustments within approved frames, budget shifts under threshold, new creatives from the test inventory, negative keywords. The agent executes and documents afterwards.
Orchestrator decision
Channel recommendations, test launches, re-priorisation, rule updates from the learning loop. The orchestrator compares agent recommendations, checks them against frames and decides.
Human approval
Budget increases above threshold, campaign pauses, new audiences, price and promise changes. These actions only run after approval – visible in the dashboard.
The orchestrator’s own duties
The email orchestrator protects domain reputation like its own: it sets send limits per domain, prioritises journeys by revenue impact and decides which sends may go out directly – anything touching reputation or consent goes through the approval queue.
Orchestrator live dashboard
- Inbox placement / domain reputation
- Bounce & spam complaint rate
- Send volume vs. limit
- Conversion per journey type
- Unsubscribe rate per send
- Revenue per email (attributed)
The orchestrator checks these metrics hourly – deviations land in the task queue or become an approval request for the team.
Human-in-the-loop: approval required
- Send to > 20% of the list
- Sending from a new domain/IP
- Win-back to inactive contacts
- Price changes in emails
The agents work autonomously – up to this point. The orchestrator executes these actions only after approval. That is the difference between automation and risk.
Self-learning: the 4-step cycle behind the org chart
Bounce, open and conversion data per journey and domain setup feed the learning base: the orchestrator recognises which segments, subject lines and send windows protect reputation and lift conversion – and plans the next send wave automatically from that instead of relying on static list logic.
The self-learning loop turns permanently – the agent stack gets better week by week without anyone fine-tuning by hand:
Measure
All results flow in: conversions, costs, delivery rates, rankings, engagement. Without clean measurement an agent learns nothing – which is why the tracking setup is the foundation of every stack.
Analyse
The orchestrator compares results against targets and history, separates causality from coincidence (significance) and recognises which changes really had impact.
Learn
From that, new rules emerge: score weights, bid margins, fatigue thresholds, segments. The orchestrator checks every rule against the approved budget and risk frames.
Apply
The new rules enter the agent policies – from the next round, all agents work with the updated knowledge. The cycle starts again: measure, analyse, learn, apply.
Fewer heads, more output: agents take the routine – your team only steers strategy and budget frames.
Agents are an offer, not a must – you choose the automation level
We deliver every one of these services fully manually as well. The agent stack is one option – and you can switch between the modes at any time without losing your setup or your results.
Fully manual
Classic service: our operational team executes every action personally – setup, operation, reporting. The same quality, fully human operation, maximum control.
Hybrid
Agents take routine, monitoring and 24/7 continuous testing; your team and our operational team decide, prioritise and fine-tune. The most chosen mode.
Autonomous with approvals
The agent stack runs fully through – critical actions (budget, audiences, promises) only after your approval in the dashboard. Maximum output, clear accountability.
All three modes use the same systems architecture – you can switch between them at any stage.
A look into the 24/7 operation: our agent dashboard
This is what operation looks like when this service stack runs on autopilot: orchestrator, KPIs, running A/B tests and your approvals – as an interactive preview with sample data.
Who this service is for
Mid-market with a clear growth goal
20–500 employees who want to turn more traffic into more qualified leads and more closes – without overwhelming sales.
Teams juggling several scattered tools
CRM, email, ads and analytics run side by side. We bring them into one system with a single source of truth.
Companies in DACH + international markets
Same systems architecture, local market logic for Italy, Spain, France, the UK – measured in one report.
How the delivery runs
- 01
Audit & target picture
We analyse data quality, existing processes and KPIs – honestly, with numbers. The result: a shared target picture and a prioritised roadmap.
- 02
Build in milestones
Implementation in clearly prioritised stages – each with a measurable goal. You always see what is going live and what it delivers.
- 03
Operation & scaling
We observe, test and optimise continuously. Monthly reporting, clear KPIs, no black box – scaling follows the numbers, not gut feeling.
Typical starting situations we solve
These patterns keep coming up in our audits. If one of them fits, a conversation is almost always worth it.
Leads come in, but nobody knows if they are good – no scoring, no priority.
The CRM is half-set-up and nobody dares to touch it – the data is incomplete.
Emails are sent, but delivery, open and click rates are weak.
Tracking is broken or missing – attribution is guesswork instead of facts.
What we deliver – concretely
Measurable KPI roadmap
Clear goals per milestone – from lead source to revenue. We name the numbers that should change before we start.
GDPR, consent & data hygiene
Compliance is part of every setup: consent, deletion concepts, clean data – no retrofitting after the data-protection audit.
Documentation & handover
Everything documented: setups, workflows, logic. Your team can keep working independently after the collaboration – no lock-in.
Frequently asked questions
Newsletter or journey – what makes more sense?
Both, with different roles: newsletters reach the broad base, journeys the individual lead at the right moment. We set both up and measure them separately – the numbers show where your revenue really is.
Our emails often land in spam – what to do?
In 80% of cases it is domain authentication (SPF/DKIM/DMARC), sending behaviour or data quality. We run a deliverability audit, fix the causes systemically – not with text tricks – and monitor delivery continuously.
How much email volume is healthy for the domain?
It depends on age, reputation history and recipient base. We warm up new domains in stages (e.g. 100 → 500 → 2,000/month over 6–8 weeks) and only scale when open and click rates stay stable.
Do you use AI for email content?
Yes – agent-assisted for drafts, segment variants and A/B subject lines, edited by us. The data base (purchase behaviour, CRM fields) stays the steering; AI accelerates production, it does not replace strategy.
What does Email Marketing cost with Core Online Marketing?
It depends on scope, tools and data quality. In the first call you get a concrete range and a milestone roadmap – no strings attached. Ongoing operation is available as a monthly package, projects as a fixed price.
How quickly will we see first results from Email Marketing?
Usually after 4–8 weeks, depending on the starting point. In the audit we define the KPIs that should change, and we report monthly and transparently – what is better, what is unchanged, what is worse.
Do you work with our existing tool stack?
Usually yes – we are tool-agnostic. If an existing tool makes sense, we keep it; if not, we advise on switching. Partner discounts do not drive recommendations.
Do we need dedicated staff on our side for this?
One contact person for decisions is enough. We handle build and operation and document everything, so your team can continue independently after the collaboration.
Are you set up for international markets (e.g. Italy, Spain, the UK)?
Yes. We are based in Berlin and work with local performance leads for Italy, Spain, France and the UK – the same systems architecture, local market logic, reporting in one currency: your KPIs.
Do you also run the ongoing operation, or just the setup?
Both is possible. Many clients start with the setup and take over the operation themselves afterwards – we document and train. Others let us run the whole operation. In the first call we say honestly what serves you better in your situation.
How do you handle legacy data and historical content?
We start with a data audit: what is usable, what needs to be cleaned, what can be deleted. Historical content is mapped and migrated where it is worth it – not blindly. You start clean, without inheriting debt.
What concrete cost savings and workload reduction does Email Marketing bring?
Automated journeys and sending rules generate revenue alongside every campaign – without extra media budget or headcount. Revenue per contact goes up, the cost per send goes down. On the workload side: Journeys, sending rules and list maintenance run automatically. Your team focuses on strategy and content, not on send times and list hygiene. We show the concrete calculation for your setup in the first call.
Email Marketing: Let us calculate what it is worth for you
30 minutes, no strings. We look at your numbers and show where the lever is.
Request a call30 minutes, no strings. No pitch – we look at your data.