What is included
- Amazon Sponsored Products, Sponsored Brands & Display ads
- Feed optimisation: title, bullet points, backend keywords
- Campaign structure by margin, not by revenue
- Tracking & attribution across marketplace + website
- Inventory control and price optimisation in combination
Cost savings & workload
Feeds and prices that sort themselves – you only decide.
Cost savings through automation
Listing errors & ACOS spikes become the exception
Automated feed management and pricing rules prevent listing errors, stock-outs and ACOS spikes. Every error that used to cost margin is detected and corrected before it becomes visible.
Workload reduction
Seller Central runs on autopilot
Feed updates, competitor price checks and campaign reports run automatically. Your team no longer starts the morning in Seller Central – it starts with strategy.
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 · Marketplace & Amazon Ads
Marketplace Orchestrator
Feeds, bids and listings – in the rhythm of the marketplace.
Amazon & marketplace ads live on feed quality and bid dynamics. The orchestrator keeps feeds clean, bids within the target corridor and listings optimised – across every marketplace you operate on.
4 specialists on 24/7 duty – each accountable for one KPI
Feed Agent
● runs 24/7
KPI: suppression rate
Bidding Agent
● runs 24/7
KPI: TACOS vs. margin
Listing Agent
● runs 24/7
KPI: listing conversion
Anomaly Agent
● runs 24/7
KPI: response time
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.
Feed Agent
runs 24/7Synchronises product feeds, detects mapping errors, missing attributes and suppression reasons in real time.
- consumes
- product feeds, mapping reports, suppression reasons
- produces
- clean, synchronised feeds on all marketplaces
- KPI
- suppression rate
Bidding Agent
runs 24/7Optimises bids per ASIN/product against TACOS and margin targets – daily, automated, logged for full traceability.
- consumes
- TACOS, margin per ASIN, demand curves
- produces
- daily bid adjustments per ASIN, logged for traceability
- KPI
- TACOS vs. margin
Listing Agent
runs 24/7Optimises titles, bullets and A+ based on conversion and ranking data; tests variants automatically.
- consumes
- conversion and ranking data per listing
- produces
- optimised titles, bullets and A+ content, tested automatically
- KPI
- listing conversion
Anomaly Agent
runs 24/7Flags bid spikes, review anomalies and account warnings early – before they cost visibility.
- consumes
- bid trends, review signals, account warnings
- produces
- early warnings with a recommended action
- KPI
- response time
Automated A/B tests
A/B tests run automatically: listing variants (title, main image, A+) are tested per product; conversion data decides which version gets scaled.
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 marketplace orchestrator keeps feeds and bids in the target corridor: it reconciles product and ad data, prioritises ASINs by margin × demand and decides which listing changes go live directly and which need a review first.
Orchestrator live dashboard
- TACOS per ASIN
- Feed suppressions (count/reasons)
- Sponsored ads ROAS
- Ranking trend per keyword
- Review anomalies
- Budget utilisation per campaign
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
- Bid above daily limit
- Listing change on top-50 ASINs
- Feed change with price/stock impact
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
TACOS and feed-suppression data per ASIN feed the learning loop: the orchestrator recognises which listing changes lift organic rankings and which bids eat margin – and from that it automatically updates the prioritisation rules for sponsored ads and the feed-maintenance strategy.
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
From what revenue does Amazon ads pay off?
Rule of thumb: from ~€20,000 monthly marketplace revenue, systematic optimisation pays off – below that, small fixes (feed, top keywords) often bring more than an agency setup.
Do you also optimise other marketplaces?
Yes – alongside Amazon also Etsy, Zalando and international marketplaces. The architecture stays the same: feed, campaign structure, margin tracking. The channel changes the weights, not the system.
How do you measure success in the marketplace?
Not by TACOS alone, but by margin per order, inventory turnover and customer value. We report per campaign and aggregated – with clear thresholds at which we adjust.
What does Marketplace & Amazon Ads 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 Marketplace & Amazon Ads?
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 Marketplace & Amazon Ads bring?
Automated feed management and pricing rules prevent listing errors, stock-outs and ACOS spikes. Every error that used to cost margin is detected and corrected before it becomes visible. On the workload side: Feed updates, competitor price checks and campaign reports run automatically. Your team no longer starts the morning in Seller Central – it starts with strategy. We show the concrete calculation for your setup in the first call.
Marketplace & Amazon Ads: 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.