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bol.com Mis à jour 2026-08-30 10 lecture min.

Marketplace ad reporting pack: turn Amazon, bol and MediaMarkt reports into profit decisions

A practical Advertentie Service guide for replacing screenshot reporting with a decision pack that connects ACOS, ROAS, SKU margin, stock and next-euro budget allocation.

Par Lisa van Broekhoven Croissance bol.com, Sponsored Products, décisions Buy Box et exécution marketplace.

Résumé bol.com

Réponse courte

Une perspective FiveX concrète sur bol.com pour les vendeurs marketplace, marques e-commerce et agences. L'objectif est d'aider les équipes marketplace à transformer des signaux fragmentés en décisions plus claires sur la croissance, la rentabilité et les opérations.

Définition

Ce que couvre cet article

bol.com couvre les décisions, les données et les habitudes opérationnelles que les équipes marketplace utilisent pour améliorer une croissance rentable.

bol.com Amazon Sponsored Products Buy Box ROAS marge de contribution repricing vendeurs marketplace marques e-commerce agences marketplace gestion des stocks frais marketplace

Marketplace ad reporting has a bad habit: it arrives looking finished when the real work has not started yet.

A neat Amazon Ads export, a bol Sponsored Products screenshot, a MediaMarkt retail media slide and a line that says “ROAS improved 18%” can all be true. They can also be commercially useless. The operator question is not “did the report look professional?” It is: which budget decision became safer because this report exists?

That is the reporting standard I would use for any brand spending €5K+ per month across Amazon, bol and MediaMarkt. At that spend level, a marketplace advertising service should not send a performance souvenir. It should send a decision pack.

The named mistake is the “screenshot report”. It shows spend, revenue, ACOS, ROAS, impressions and clicks. It may even have a few green arrows. Lovely. But it does not say whether the hero SKU had enough margin to absorb the spend, whether a stockout is going to make last week’s winner dangerous next week, whether bol NL and bol BE should be separated, or whether MediaMarkt’s cheap clicks are stealing budget from a higher-margin Amazon target. That is how reporting becomes theatre with charts.

What competitors usually explain well

Most marketplace advertising content does a decent job explaining the available reports. BidX, for example, walks through Amazon Search Term, Targeting, Advertised Product, Campaign, Placement and Purchased Product reports. That is useful hygiene. You need to know where the data lives before you can act on it.

ACOS guides also do something important: they remind sellers that “good ACOS” depends on break-even margin, not on a universal benchmark. A 25% ACOS can be brilliant for one SKU and quietly loss-making for another. Amazon reporting guides from software and agency teams increasingly add ROAS, TACoS, placement performance, keyword harvesting and campaign-role advice. Good.

Retail media platform pages for bol often focus on automation, share of voice, bulk operations, category signals and cross-retailer visibility. Also useful. If you manage hundreds of products, you need systems that can move faster than a spreadsheet.

What most of those pieces still miss is the uncomfortable middle layer: the translation from ad metrics into commercial permission. They describe reports. They rarely define the meeting where a manager says, “yes, this SKU gets another €1,200 next week” or “no, this campaign is not allowed to scale until contribution margin, stock cover and offer quality agree”.

That is the gap FiveX can own: marketplace ad reporting as a decision pack, not a KPI recap.

The decision pack: five sections every €5K account needs

A proper advertising service report should be built around five decisions. If a section does not support one of these, cut it or move it to the appendix. Nobody needs more decorative metrics.

1. The budget permission summary

Start with the decisions, not the dashboard. For each marketplace, show where budget should increase, hold, shrink or move. The summary should fit on one screen:

  • Scale: profitable demand with enough stock and stable offer quality.
  • Defend: branded or exact-product demand worth protecting but not expanding blindly.
  • Learn: capped experiments where the goal is evidence, not immediate efficiency.
  • Fix first: campaigns where listing, price, stock or margin blocks spend.
  • Stop: spend that has lost commercial permission.

This is where FiveX’s profitability dashboards matter. ACOS alone only tells you ad cost divided by ad-attributed revenue. FiveX connects that spend to SKU margin, marketplace fees, fulfilment costs, returns and contribution margin, so the reporting conversation starts with permission rather than opinion.

2. The SKU margin table

Every advertised SKU needs a loaded break-even line. Not a category benchmark. Not “we usually target 30% ACOS”. The actual SKU line.

A simple version looks like this: selling price, marketplace fee, fulfilment cost, purchase cost, return reserve, contribution margin before ads, break-even ACOS, target ACOS and current campaign role. When the report includes this table, bid conversations become wonderfully less dramatic. The numbers are bossy in the best way.

If a product sells for €49.95, carries €16.20 in product cost, €7.80 in marketplace and fulfilment costs, and needs a €2.50 return reserve, the pre-ad contribution margin is €23.45. That gives a theoretical break-even ACOS of 46.9%. But if the brand wants 12% contribution margin after ads, the working target ACOS drops to roughly 34.9%. A report that calls 44% ACOS “acceptable because the benchmark is 40-50%” is not managing profit. It is hiding behind the market average.

3. The search-term decision ledger

Search terms are not just optimization rows. They are evidence about demand. A reporting pack should label terms by what the team learned:

  • Promote: proven profitable terms that deserve exact-match control or more budget.
  • Protect: brand, model or high-intent terms that should stay visible unless margin breaks.
  • Quarantine: terms with useful intent but unresolved listing, price or stock problems.
  • Negative: irrelevant or structurally unprofitable demand.
  • Content brief: terms shoppers use but the listing does not answer well enough yet.

This is also where FiveX advertising automation earns its keep. The platform can help turn recurring rules into actions, while the service team keeps the judgement layer: which terms deserve automation, which require a human decision, and which should become product or content work instead of a bid tweak.

4. The operational veto list

Marketplace ads do not fail only because of bids. They fail because the product behind the bid becomes temporarily unfit to receive traffic. Reporting should call that out clearly.

The veto list includes low stock cover, suppressed listings, Buy Box or offer issues, price changes, coupon changes, review drops, higher return rates and fulfilment problems. On Amazon, that might mean shrinking competitor targeting while Buy Box ownership is unstable. On bol, it might mean separating LVB and non-LVB products because delivery promise changes conversion. On MediaMarkt, it might mean holding spend on a high-click electronics SKU until price position is fixed against comparable offers.

FiveX inventory insights make this visible in the same conversation as ad performance. That matters because the cheapest way to improve ad efficiency is sometimes not a bid change. It is refusing to advertise into a stock or offer problem.

5. The next-euro allocation

The best report ends with a next-euro decision. If the brand adds €1,000 next week, where should it go first? If the brand removes €1,000, what gets cut with the least commercial damage?

This forces the team to compare channels by profit capacity, not platform politics. Amazon may show higher ROAS but be stock-constrained. bol may show lower ACOS but only because branded demand is doing all the work. MediaMarkt may have cheaper clicks but weaker basket economics. The next euro should go where margin, stock, demand evidence and marketplace role agree.

Named example 1: LumaHome stops celebrating a 5.1x ROAS

LumaHome sells a stainless-steel air fryer accessory kit on Amazon and bol. In the monthly report, Amazon looked like the hero: €3,200 ad spend, €16,320 attributed revenue and 5.1x ROAS. bol looked weaker: €1,100 spend, €3,630 revenue and 3.3x ROAS.

The screenshot version would move more budget to Amazon. The decision-pack version found a different answer. The Amazon SKU had only €6.40 contribution margin before ads on a €39.95 selling price because FBA fees and a rising return reserve had squeezed the unit economics. Its working break-even ROAS was 6.2x. So the celebrated 5.1x was actually below profit permission.

bol, meanwhile, had a lower ROAS but €11.80 contribution margin before ads because fulfilment and return costs were lighter. The working break-even ROAS was 3.4x, and the exact “air fryer rekje vaatwasserbestendig” search term was converting with repeatable intent.

The decision: shrink Amazon generic budget by €650, keep Amazon brand defence, and move €450 into bol exact-match expansion with a stock cover check. The report did not ask, “which channel has prettier ROAS?” It asked, “which channel can turn the next euro into contribution margin?” Much better question.

Named example 2: NordTrail separates MediaMarkt clicks from MediaMarkt profit

NordTrail sells power banks across Amazon, bol and MediaMarkt. MediaMarkt’s retail media campaign produced a tempting line: €780 spend, 5,900 clicks and a CPC that was 38% lower than Amazon. The team wanted to double the budget because traffic looked cheap.

The decision pack slowed the room down. MediaMarkt’s conversion rate was 1.1%, average order value was €31.20 and post-fee contribution margin before ads was €5.60 per order. At that economics, the campaign needed a much lower CPC or a stronger basket to scale. Amazon competitor-ASIN targeting was more expensive at the click level, but converted at 4.4% on a €42.90 bundle with €13.10 contribution margin before ads.

The next-euro allocation was blunt: MediaMarkt stayed in learn with a €250 weekly cap and a bundle test. Amazon received the scale budget, but only for the bundle campaign. bol received no extra budget that week because stock cover was below 18 days.

That is the point of cross-marketplace reporting. Cheap traffic is not a strategy. Cheap profitable demand is.

Named example 3: Mysa turns a bad bol keyword into a product decision

Mysa sells bathroom storage. A bol Sponsored Products search term, “smalle badkamerkast zwart”, spent €290 in 14 days with 71 clicks, two orders and a painful 62% ACOS. The lazy action would be to negative it and move on.

The report treated it as evidence. The term was highly relevant, the category had rising demand, and competitor listings showed narrower cabinets in the first image while Mysa’s image made the product look wider than it was. FiveX marketplace research and product profitability views put the term into quarantine rather than deletion.

The action was not “increase bid” or “pause keyword”. It was: update the image order, add width in the first bullet, create a narrower variant bundle, and rerun the term with a €120 cap after the listing change. Two weeks later the term still was not a scale winner, but conversion doubled from 2.8% to 5.6% and ACOS moved from 62% to 34% against a 31% target. Not perfect. Useful.

A report that only optimizes keywords would have lost that learning. A decision pack turned waste into a product and content brief.

The weekly cadence I would use

For €5K+ ad accounts, monthly reporting is too slow for decision work. Use a weekly operating cadence and a monthly board-level summary.

Every Monday, refresh the ad, sales, margin and inventory data. Every Tuesday, label campaigns and search terms as scale, defend, learn, fix first or stop. Every Wednesday, execute bid, budget and negative-keyword changes. Every Thursday, check operational vetoes: stock, price, offer, reviews, fulfilment and return signals. Every Friday, write the decision receipt: what changed, why, what threshold will decide the next move.

The monthly report then becomes much better. Instead of “we optimized campaigns weekly”, it says: “we made 42 decisions, moved €1,850 from low-margin demand into profitable exact demand, quarantined six terms for listing work, blocked scale on two SKUs because stock cover fell below 21 days, and approved one MediaMarkt test with a €300 cap.” That is a report a commercial team can actually use.

What to ask your marketplace advertising service

If an agency or service manages Amazon, bol or MediaMarkt spend for you, ask for the reporting pack before you judge performance. The questions are simple:

  • Do you show contribution margin and break-even ACOS by advertised SKU?
  • Do you separate harvest, defend, learn and scale budget?
  • Do you label search terms by decision, not only by performance?
  • Do you include stock, offer quality, pricing and return-rate vetoes?
  • Do you explain where the next €1,000 should go and what should be cut first?
  • Do you keep a decision log so last month’s learning does not disappear when bids change?

If the answer is no, the service may still be optimizing. But it is probably not yet operating the account like a profit system.

How FiveX fits naturally into this

FiveX is useful here because marketplace advertising decisions sit between departments. Marketing sees clicks and ROAS. Finance sees margin. Operations sees stock and fulfilment. Commercial teams see channel strategy. The ad operator needs all of it before touching budget.

FiveX connects marketplace analytics, profitability dashboards, inventory insights, advertising automation and AI recommendations into one operating view. For an Advertentie Service account, that means the weekly report can move from “here are the numbers” to “here is the permission, the risk and the next action”.

That is the standard worth paying for. Not more screenshots. Not busier bid changes. A reporting pack that makes every euro easier to defend.

If your marketplace ad spend is already above €5K per month, ask one question at the end of the next report: what decision would we make differently because of this? If nobody can answer, the report is not finished yet.

Angle opérationnel

Comment utiliser cet insight

Vue purement métrique

Regarde le chiffre d'affaires, les clics, le ROAS ou les commandes comme des signaux séparés. C'est rapide, mais cela peut masquer les frais marketplace, les retours, la pression stock et les fuites de marge.

Vue intelligence marketplace

Relie la performance canal à la marge de contribution, au pricing, à la publicité, au stock et aux opérations pour que la prochaine action soit commercialement claire.

FAQ

Questions que se posent les équipes marketplace sur ce sujet

Quelle est la métrique la plus importante pour bol.com ?

Commencez par la marge de contribution, puis interprétez les métriques canal comme le chiffre d'affaires, le ROAS, la conversion et la couverture stock dans ce contexte de profit.

Comment les équipes marketplace peuvent-elles utiliser bol.com sans créer plus de travail manuel ?

Utilisez des données marketplace connectées, des dashboards répétables et des règles opérationnelles claires pour revoir les exceptions plutôt que reconstruire des tableurs.

Où FiveX s'inscrit-il dans ce workflow ?

FiveX regroupe analytics marketplace, publicité, repricing, stock, intégrations et exports dans un cockpit pour sellers, marques et agences.

Vous voulez savoir quel levier de croissance sera rentable en premier ?

Partagez votre mix de canaux et nous tracerons le chemin le plus rapide entre les intégrations, les analyses, la retarification, la publicité et les exportations.