Reach contract logistics providers, freight forwarders and 3PL providers in a targeted way – with precise filters for sub-segment, region and decision-maker.

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CREATE TEST ACCOUNTWarehousing and logistics companies are the backbone of the German economy, and they are extremely hard to reach in B2B sales. Dispatchers, warehouse managers and management live in a daily routine of routes, shifts, IT outages and last-minute customer requests. Cold emails land unread, calls are dismissed. Anyone selling SaaS, warehouse technology, staff or packaging to the sector needs a clean address base, good filters and a realistic understanding of when logistics people are reachable. This page shows how to build a warehousing-and-logistics address list that actually gets replies.
Warehousing and logistics companies are an attractive target group for providers whose solutions make the flow of goods faster, cheaper or more transparent. SaaS providers for WMS, TMS, route and yard management reach IT leads and the logistics COO in mid-sized firms from 50 employees. Warehouse-technology manufacturers (racking, forklifts, robotics, picking) reach warehouse managers and management facing scaling pressure. Staffing agencies and recruiters have a constant need, because dispatchers and drivers are the bottleneck of every growing logistics company. Packaging and shipping providers (cardboard, pallets, labels) reach procurement and warehouse management.
Related sectors such as freight forwarders, courier services or fulfillment providers are complementary too, because they have similar structures and pain points.
The German logistics sector generated around 327 billion euros in revenue in 2023 and employs 3.3 million people (source: BVL). This makes logistics the third-largest economic sector in Germany after automotive and retail. Structurally, the sector is highly fragmented. A few large players like DHL or Dachser stand alongside thousands of mid-sized specialists for contract logistics, pharma logistics, frozen goods, dangerous goods or automotive logistics.
Decision logics are pragmatic and cost-driven. Logistics companies calculate every cent per order and only invest when the ROI is clear within 12 to 24 months. Decision-makers differ depending on the investment volume. On IT and software topics, IT leads and the logistics COO have a say; on warehouse technology, warehouse management and management; on operational consumables, procurement.
In my experience, seasonality is underestimated. Q4, with Black Friday and the Christmas peak, is the worst time for first contact, because everyone is stuck in operating mode. January to March, by contrast, is the ideal outbound phase, because strategy and investment planning for the new year is underway.
The sector splits into several sub-segments, each with different pain points and investment logics. Here a rough distribution of market share:
A bare industry column „logistics" is not enough. A sensible list contains at least nine data points.
In my experience, the sub-segment is the most important filter column. A WMS solution for contract logistics providers rarely fits freight forwarders, and a pharma logistics provider has different requirements than an e-commerce fulfillment provider. Whoever doesn't filter for this loses half the list.
The effect of clean filters is measurable. A blanket „logistics" list lands at significantly different rates than a list with a clearly defined sub-segment, warehouse size and decision-maker.
LeadScraper works with semantic free-text prompts instead of rigid industry codes. You describe who you're looking for, the tool searches public sources and builds the list live. Three use cases show how this looks in practice.
| What you offer | Prompt in LeadScraper | Who ends up on the list |
|---|---|---|
| WMS or TMS software | „Contract logistics providers in NRW and Bavaria with their own warehouse of 5,000 to 20,000 sqm and seasonal peaks." | IT leads and the logistics COO in mid-sized firms with a need to invest in software |
| Warehouse or conveyor technology | „Mid-sized logistics providers in DACH with current investments in warehouse automation." | Warehouse managers and management with concrete investment projects |
| Staffing | „Growing CEP and freight-forwarding businesses with active job ads for dispatchers and drivers." | Management with an acute skilled-labor shortage |
The advantage shows especially with sub-segment specialists. Pharma, frozen-goods or dangerous-goods logistics providers can't be filtered cleanly via classic industry codes. A free-text prompt captures these profiles.
A good list is useless if the outreach process ignores season and decision-maker. The workflow runs in five steps.
In the pitch, numbers count. A cold email with „How many hours do you lose per month from a lack of real-time visibility in your warehouse?" beats any generic introduction. Anyone who wants to proceed in a GDPR-compliant way sticks to commercial contact data from public sources.
Four mistakes show up in every other first project, and each measurably costs conversion.
Whoever avoids these four mistakes has most of the effect. The rest is clean execution and a good cold-email outreach setup. Anyone who prefers to buy lists rather than research them should know the pros and cons of buying addresses.
LeadScraper combines free-text prompts with semantic filtering, ideal for sub-segments that no industry code captures cleanly. Instead of a rigid dropdown tree, you describe in your own words who you're looking for.
An example prompt:
„Contract logistics providers in southern Germany with 100 to 500 employees, their own pharma warehouse and a focus on e-commerce fulfillment."
The tool searches company websites, industry directories and public profiles, builds the list live and delivers verified contacts including email and phone. The research runs GDPR-compliant from public sources. With every thumbs-up or thumbs-down on a result, you train your own lead algorithm, so the next list matches your ICP more precisely than the previous one.
An address list for warehousing and logistics companies is only as good as its filter logic. Whoever segments sharply by sub-segment, warehouse size and region, gets precise about the decision-maker and aligns season and channel correctly builds a reliable outbound lever, instead of ending up with scatter loss from a blanket logistics list. With a tool like LeadScraper you also reach narrow sub-segments like pharma or frozen-goods logistics cleanly, without a ready-made database, without duplicates, without outdated contacts. Anyone who wants to reach logistics companies in 2026 doesn't need a longer list, but a more accurate one.



