Standard criteria for the selection of target groups and the purchase of addresses have become obsolete in many areas. This is because the sector in which a company operates or the number of employees it has often does not say enough about the real needs or use case in the company. The quality of data is crucial to the success of a campaign. And the more you know about the target company, the more promising the personal approach is.
We therefore not only rely on standard criteria or the purchase of addresses, but also combine a company database with special crawler technology and intelligent queries. This means that accounts are not only compiled on the basis of static criteria but can also be combined with existing keywords on the customer's website or specific news items, for example.
In addition, potential decision-makers can be identified directly on XING or LinkedIn if the positions required for the respective project exist in the company.
Our research process meets the strict requirements of data protection and forms the ideal basis for targeted business development, telemarketing, social media campaigns, trade fair preparation or potential analysis with minimal wastage.
Our service includes not only the generation of new addresses and contacts, but also the enrichment and quality enhancement of existing lists or the identification of similar companies in a matching process.
Our research and data services at a glance
- Address and contact person research: Address acquisition and augmentation
- Desk research and social media research of contact persons
- Preparation and processing of target account and desired customer lists
- Automated enrichment of account and contact information: Use of crawlers and algorithms to automate the procuring of accounts & contact persons
- Identification of accounts that cannot be purchased via industry codes
- Competitor research / buying center identification / similarity matching
- Identification of use cases
- Data quality services: Data reconciliation and enrichment, duplicate matching
- Merging and cleansing of heterogeneous data lists
- Recording / digitalisation of event feedback or trade fair leads
- Preparation of data for mailings
- Data enhancement through combination with research and profiling