Reaching SAP-focused target groups efficiently

Reaching SAP Audiences with Precision: How a Structured Database Significantly Accelerated Sales

The goal was to identify and reach companies running SAP, along with relevant IT decision-makers such as CIOs and CTOs. The biggest challenge was the data foundation: research was time-consuming, incomplete and not scalable. AI-powered data enrichment and structured processes created a reliable database that significantly accelerated sales and made targeted outreach possible in the first place.

Published November 2026

Reaching SAP Audiences with Precision: How a Structured Database Significantly Accelerated Sales

4

Digits in the lead pool delivered

80%

Time saved on data research

20

Data sources used for enrichment

Background

An internationally active technology company helps industrial and service businesses digitize their business processes, with a focus on SAP-based solutions. Its aim is to simplify complex workflows and make companies more efficient.

The Challenge

Identifying companies that use SAP and sourcing reliable decision-maker data had been extremely laborious and only scalable to a limited extent. Key information such as direct dials or mobile numbers was often missing, which made outreach difficult or impossible. At the same time, there was pressure to reach relevant contacts faster without relying on inaccurate or outdated data. In short, a clean database was missing to approach decision-makers directly and build structured sales activities on top of it.

  1. 1SAP target companies could only be identified with great effort
  2. 2Decision-maker data was incomplete or hard to access
  3. 3Missing direct dials and mobile numbers made outreach difficult
  4. 4High time investment without a scalable process

The Solution

A structured database focused specifically on relevant SAP audiences was built for the company. AI-powered research automatically identified matching companies and consolidated the relevant contacts from various sources. More than 20 data sources were combined in a so-called waterfall approach to achieve the best possible data quality. Key contact details such as direct dials and mobile numbers were enriched in a targeted way and provided in a GDPR-compliant manner. The result was a reliable foundation that lets sales get to work immediately and reach relevant decision-makers directly.

  1. Step 1

    AI-powered identification of relevant SAP target companies

  2. Step 2

    Data enrichment from 20+ sources to maximize data quality

  3. Step 3

    Structured approach to adding direct dials and mobile numbers

  4. Step 4

    A ready-to-use database for sales

The Results

Much faster data collection and a target audience database ready to use

Structured data enrichment reduced the time spent searching for data by 80%. At the same time, sales had a large number of qualified contacts available that could be used directly for campaigns and outreach. A manual, time-consuming process became a scalable foundation for targeted sales activities.

  • 80% time saved on data collection
  • Four-digit number of qualified contacts built
  • Immediately usable for campaigns and outreach
  • Significantly better data quality as a foundation for sales

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