Why are conventional marketing targeting solutions no longer enough?

Professional social networks are a valuable resource, but they have several limitations that hinder effective prospecting:

  • Declarative and obsolete data: job and company changes are rarely updated in real time. According to the Syndicat des professionnels des Centres de Contacts, 20-30% of files become obsolete within a few weeks.
  • Restricted targeting: no access to advanced criteria such as a company's solvency, recent investments or growth.
  • High costs for uncertain ROI: advertising campaigns on LinkedIn are costly, and results can be unpredictable due to a lack of truly precise targeting.
  • Limited integration with in-house tools: no seamless synchronization with a CRM or marketing automation tool, making it difficult to exploit leads.

Without access to verified, accurate and enhanced data, prospecting remains approximate and ineffective.

Why use a stand-alone BtoB marketing targeting tool?

TARGET responds to these challenges by offering a complete lead generation solution, based on an enriched database resulting from the merger of the Ellisphere and Sparklane databases.

1. Access to qualified, continuously updated data

TARGET provides access to 12 million marketable companies and 10 million business contacts, with reliable, regularly updated information. Unlike social networks, the data comes from official and partner sources, and is enriched with key indicators such as :

  • Structural criteria: company size, business sector, geographical area.
  • Financial criteria: sales, growth, default risk.
  • Investment signals: fund-raising, strategic recruitments, ongoing tenders.

2. Seamless integration with marketing and sales tools

TARGET integrates natively with the main market tools:

  • CRM: automatic updating of prospect files and synchronization with sales teams.
  • Marketing automation: advanced segmentation and campaign automation.
  • Field and telephone prospecting: export of qualified, ready-to-use files.

3. Advanced targeting to maximize ROI

Marketers using enriched, up-to-date data see an average 43% increase in sales. With TARGET, teams can refine their prospecting and improve lead conversion thanks to real-time updates.

How to set up an effective BtoB targeting strategy?

1. Audit existing data

Evaluate your current databases to identify gaps, duplicates and obsolete information. Also check for RGPD compliance.

2. Define detailed target personas

Integrate specific criteria such as digital maturity, digital transformation needs or signals of appetence (fund-raising, strategic recruitment).

3. Integrate the targeting tool into in-house solutions

Good synchronization with your CRM and marketing automation tools enables you to make full use of data and automate campaigns with precision.

4. Launch and optimize campaigns

Deploy your campaigns progressively, analyze KPIs (conversion rate, acquisition cost, prospect engagement) and adjust your approach on an ongoing basis.

Optimize your data processing according to your business needs

Marketing automation: ultra-personalized campaigns

  • Automatic data synchronization for up-to-date campaigns.
  • Fine segmentation for customized automation scenarios.
  • Trigger campaigns based on new incoming data.

Call centers: maximize your conversion rate

  • Export qualified files with verified contacts.
  • Prioritization of calls according to potential and signals of appetence.
  • Enhanced contact sheets for more relevant sales pitches.

CRM: better informed salespeople

  • Bi-directional synchronization between TARGET and your CRM.
  • Automatic updating of company and contact information.
  • Alerts on major changes (merger, acquisition, change of management).

5 best practices to adopt

  1. Start with a small but relevant target group.
  2. Involve sales teams right from the definition stage.
  3. Implement regular data updates.
  4. Monitor precise KPIs for continuous optimization.
  5. Plan regular synchronization points between marketing and sales.

5 mistakes to avoid

  1. Multiplying criteria without logic.
  2. Rely solely on declarative data from social networks.
  3. Neglecting tool training for successful adoption.
  4. Underestimating the importance of base maintenance and cleaning.