2 new clients in 3 months. 50% proposal close rate.

How SalesBot generated real sales meetings and new clients for a financial services company, fully automatically, in a trust-sensitive B2B market.

2new clients closed
50%proposal close rate
56%+lead-to-meeting rate
47%acceptance rate
Background

Building trust and pipeline in a relationship-driven market

In B2B financial services, winning new clients takes more than visibility. It requires trust, precise targeting, and consistent follow-up with the right decision makers, especially in the Hungarian SME market where relationships matter.

In this campaign, SalesBot automated exactly this process. Over 3 months, the results showed that well-built LinkedIn outreach generates concrete business opportunities and new paying clients.

Results at a glance

What the campaign delivered

1,385connection requests
47%acceptance rate
198replies processed
16qualified leads
9meetings
2new clients

This is a trust-sensitive B2B market where relationships take time. The 2 new clients were the immediate wins, while the real value shows in the 56%+ lead-to-meeting rate and the 50% proposal-to-client conversion. Half of all sent proposals closed immediately.

Campaign setup

A full AI sales system, step by step

The following steps warmed up, connected, and converted decision makers in the Outsourced Finance campaign.

  1. View the lead’s profile

    The system viewed each profile first, creating a human touchpoint before any outreach.

  2. Like a relevant post

    Before the connection request, the system liked one of the lead’s posts to reduce cold-contact friction.

  3. Connection request A/B testing

    Two versions were tested. Version B outperformed A, and the campaign optimized automatically.

  4. Message sequence

    After connection, a tested sequence launched automatically, refined based on reply rates.

  5. Manage leads and generate meetings

    198 replies were processed into 16 qualified leads and 9 real meetings, automatically.

Both connection requests and message sequences were continuously A/B tested. The system optimized toward the better-performing versions based on real data.

Why it worked

Three things drove the results

Warm, human-paced outreach

Profile views and post likes preceded every connection request, so each touchpoint felt natural.

Precise targeting and quality messaging

The campaign reached relevant Hungarian SME decision makers with credible, industry-tailored messages.

AI-based lead management

Incoming replies were handled, organized, and followed up by the system, so no opportunity was lost.

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