Sell parts. Understand contribution margin.
A useful campaign result starts before the click. Karposa connects product feeds, vehicle fitment, technical buying information and measurement for stores selling performance parts, suspension, exhaust systems and accessories. Assortment and advertising decisions can then draw on traceable commercial signals rather than gross revenue alone.
Free Video Audit- Global and remote-first
- Margins and returns considered
- Personal audit without a preliminary sales call
Technical catalogues need clear data
A part number alone does not settle a purchase. Customers need to assess fitment, approval and availability; your team needs to understand which sales remain viable after costs. Three areas therefore belong together.
Feeds and margins
Own-brand and third-party products have different cost structures. Unchecked feeds and uniform revenue targets can obscure those differences. Margin bands, stock information and reliable item identifiers provide a better basis for decisions.
Fitment and approval
Model code, production year, engine and variant determine applicability. German ABE documents, ECE approvals and parts assessment reports need a visible, specific scope, not a blanket promise of road legality.
Measurement and checkout
Unclear shipping costs, missing payment information and inconsistent availability make buying harder. Campaigns also need precisely defined events, aligned consent handling and reconciliation against actual orders.
Four stages, one connected system
Priorities follow data readiness, technical effort and commercial relevance. Not every store needs every component immediately.
- 01
Structure feeds and purchase intent
We review manufacturer and OEM part numbers, titles, variants, prices and stock. Custom labels can separate margin bands, own-brand products and availability. Shopping and Search are structured around those rules and specific vehicle and part queries.
Expected deliverable: feed rules and an agreed campaign structure. - 02
Connect catalogues and discovery
Category pages and vehicle filters receive unambiguous technical content. Structured data must reflect visible information. Meta catalogue campaigns and retargeting are options after consent and catalogue quality checks; performance or sound claims need substantiation.
Expected deliverable: a content model and a catalogue plan that can be checked. - 03
Support confident purchases through checkout
Vehicle checks, approval documents and stock belong in the buying decision. We review mobile product pages, baskets, shipping costs, delivery times and payment journeys. Financing is mentioned only when genuinely available with clear terms. Changes are prioritised as testable hypotheses.
Expected deliverable: a CRO test plan with technical acceptance criteria. - 04
Define measurement and POAS
Server-side GTM and Meta CAPI are potential components to assess alongside browser measurement. Order identifiers and deduplication are aligned. For POAS, we define net revenue, cost of goods, discounts, returns and relevant costs; advertising spend and reporting periods remain explicitly identified.
Expected deliverable: event mapping and documented value logic, not automatic proof of profit.
From isolated components to a system
An illustrative, conceptual before-and-after comparison. Not a measured client result or a forecast of success.
| Area | Disconnected setup | Intended architecture |
|---|---|---|
| Product feed | Raw exports and one revenue target for the whole catalogue. | Checked item attributes, stock and agreed margin bands. |
| Measurement | Browser events without documented order reconciliation. | Consent-dependent browser and server events with deduplication. |
| Product and checkout | Vehicle applicability and approval conditions remain unclear. | Visible application limits, delivery information and tested buying journeys. |
| SEO and GEO | Generic copy without clear model mapping. | Accessible specifications and consistent model and category pages. |
What becomes verifiable in a project
Three conceptual work modules with expected documentation. These are not client references, testimonials or results already achieved.
Feed and margin review
An item sample identifies missing identifiers, stock conflicts and the source of the margin values used.
Fitment review
Selected product journeys are checked for vehicle mapping, approval scope and information needed to buy.
Order and value reconciliation
Test orders check events, consent states, deduplication and the treatment of cancellations or returns.
Is this approach right for your store?
Reliable products and collaboration matter, not manufactured scarcity. Karposa works globally with a remote-first model.
Strong foundations
- A validated catalogue with a reliable supply chain and accountable product expertise.
- Willingness to provide controlled access to margins, returns and relevant costs.
- A team ready to support store changes, data maintenance and technical checks.
Not the right fit yet
- Unverified products or unreliable delivery without clear quality ownership.
- An expectation of guaranteed revenue or bypassing consent.
- No willingness to improve fitment data and commercial fundamentals.
Questions from the parts trade
Which store platforms can be connected?
Shopify, Shopware, JTL and WooCommerce are possible integrations. Versions, interfaces, inventory systems, data access and extensions are checked before any commitment. Naming a platform does not promise universal compatibility.
Do own-brand products automatically receive more budget?
No. Margin bands are one steering signal alongside demand, stock, returns and data quality. Net-revenue ROAS and POAS answer different questions; their value definitions and cost deductions must be explicitly documented.
Is an ABE or ECE badge enough?
No. Documents, vehicle variants, conditions and the target market must match. A German parts assessment report is not blanket road approval. We structure manufacturer information; we do not replace legal or technical approval.
Does server-side tracking capture every purchase?
No. It supplements browser measurement and bypasses neither refusal nor consent requirements. CAPI may process personal or pseudonymised data; hashing is not anonymisation. Legal basis, data minimisation, processing agreements and configuration require project-specific review.
Does GEO guarantee recommendations in AI search?
No. Accessible content and indexability support discovery but do not guarantee a mention. No special AI schema is required. PDFs are not inherently invisible; supplementary web specifications make access and source checking easier.
Free personal store audit
Send your store URL and email; qualification takes place in the existing wizard. Within one business day, you receive a response with a personal video audit, without a preliminary sales call or pressure to commit. We first examine public product pages, navigation and buying journeys.
Internal accounts, margins, consent and tracking quality can only be assessed with permission, the necessary data access and technical checks. The video is personally prepared, not automatically generated.