From account-based research and the AI relevance check to multi-touchpoint outreach, handover and learning from every conversation.
We don't buy lists and we don't send mass emails. Every target account is researched individually, enriched according to your ICP criteria and approached over months with varied, relevant angles, without any contact feeling pressured.
Example. This is how the NeoPulse Sales OS shows every target account: buying centre, status per person and next step.
You give us target lists, or we build them from databases. The AI in our Sales OS enriches every lead with public signals and scores it against parameters we define together. We propose the best leads to you in joint briefings. Call centres and traditional lead-gen providers rarely work this way.
| Lead (example) | Signal | Relevance | Chosen approach |
|---|---|---|---|
| Head of treasurySpecialist bank, 400 employees | Tender “Digital deposit business” | 92 | Account-based 1:1 |
| Head of ServiceHidden champion, mechanical engineering | New service division announced | 78 | Signal-based sequence |
| Category ManagerFMCG brand, DACH | Retail listings expanded | 61 | Signal-based sequence |
| Head of ITInsurer, regional | No current signals | 34 | Scalable approach |
Sample data. The AI relevance check is being trialled and developed further together with our first clients.
Our sequences have 5–7 touchpoints across LinkedIn, email and phone. After 3–4 attempts we switch approach or channel. Here is a selection of our playbooks.
Our standard. 5–7 touchpoints, with the channel mix depending on the target group. After 3–4 attempts we switch approach or channel instead of ending the sequence.
This is how we worked for bms: the trade fair campaign ran on LinkedIn. Only when a new topic came up did we switch to email.
With a clearly industry-specific hook, a single channel is often enough. Example from banking: connection request with a concrete reference case, reply after two minutes.
A contact from the previous year, a precise point of connection and a new development as the reason. In the real example, the meeting was confirmed after 14 minutes.
This is how we work for BANCOS: every role in the buying centre gets its own reason to talk. Contacts are approached in stages, with pauses in between.
Real conversations from banking and insurance. Names and companies are redacted.
Ongoing results: Critical Software 2–4 qualified decision-maker meetings per month · bms 4–6 meetings per month · BANCOS 2–3 C-level leads per month.
Because we reach out in your name, it must always be clear what has happened with each lead and where it stands. Only then does the handover to your team work seamlessly.
Sample data. You can see the full history of every lead at any time in the NeoPulse Sales OS.
Our clients often test new products, services, markets or target groups. Then market feedback is at least as valuable as the meeting. We store it in a Company Brain set up specifically for you and use it to improve your campaigns step by step.
For every client we set up a dedicated Company Brain in the NeoPulse Sales OS. There we collect every reply, every call log and all feedback from meetings, tagged by objection, timing, role and competition.
As soon as feedback accumulates, the AI suggests a concrete adjustment to message, target role, channel or timing, with reasoning and the entries the suggestion is based on.
Every suggestion passes through two pairs of hands: your advisor reviews and adjusts it, then you decide. Only then does the new version go out. Try it out.
The Company Brain grows with every conversation. You see which learnings were adopted and how replies and meetings develop. We review this together in our strategy session.
Simplified views from the NeoPulse Sales OS with sample data.
Instead of crossing accounts off, we ask in our joint strategy session what the reason was and where we can still start.