DEVLO.CH — SWISS B2B AGENCY
Clay & Data B2B enrichment: ultra-qualified lists ready to prospect
Multi-source data enrichment, scoring and conversion-oriented automation.
B2B data enrichment **is the process of aggregating**, validating and scoring prospect data from numerous sources in a single workflow. Clay is today the most flexible solution for producing truly usable prospecting lists with firmographic, technographic and contact-level precision.
devlo designs Clay workflows that combine firmography, technography, contact validation and contextual signals. The result: enriched and prioritised lists, ready to be activated in your outbound sequences.
In addition to Clay, we orchestrate a multi-source stack (Apollo, ZoomInfo, Cognism, Crunchbase, Hunter, BuiltWith) to limit obsolete data and improve targeting quality.
What this service covers
- ✓Audit and clean-up of your existing database
- ✓Construction of the TAM and ICP filters
- ✓Multi-source enrichment via Clay
- ✓Email and telephone validation
- ✓Scoring prospects according to your business criteria
- ✓Generation of contextualised icebreakers
- ✓Technology stack detection
- ✓Signal detection Financing and growth
- ✓Export formatted for lemlist, HubSpot, Salesforce
5-step enrichment process
- 1
ICP mapping
Definition of qualification criteria.
- 2
Source design
Selection of relevant sources by market.
- 3
Workflow Clay
Tables, enrichment, scoring and automation.
- 4
Validation
Quality control of emails, telephone calls and duplicates.
- 5
Activation
Structured delivery for your sales tools.
By Charles Perret, Founder, devloWhy does useful data come before volume in B2B enrichment?
A large but inaccurate database destroys outbound performance. According to HubSpot (2024), sales teams waste up to 27% of their time on bad data. Our priority is to reduce the noise: qualify better, enrich better, and push only accounts with a high probability of response using multi-source validation.
Indeed, Clay is particularly powerful when coupled with clear business logic. We deliver not just columns of data, but an operational system that can be reused by your team. The result is a clean, scored, and actionable database that directly improves campaign performance.
In summary:
Key takeaways
- Data quality matters more than data volume for outbound success
- Clay enables multi-source enrichment from Apollo, ZoomInfo, Cognism, and Crunchbase
- Sales teams waste up to 27% of their time on inaccurate or incomplete data
- A well-built Clay workflow produces scored, validated, and actionable prospect lists
Data enrichment use cases
Step 1/2 — Configure
50%
Configuring your Clay workflow
Specify your sources, volumes and priority data to frame the enrichment.
Have you ever seen Clay?
Current sources
Type of list
Volume of leads
Priority data
End use
Configuration preview
Have you ever seen Clay?: Not defined
Current sources: Not defined
Type of list: Not defined
Volume of leads: Not defined
Priority data: Not defined
End use: Not defined
You can edit your choices before submission.
Step 2/2 — Contact details
100%
Step 2 — Get the plan
Review your configuration then submit your contact details.
Selected summary
Have you ever seen Clay?: Not defined
Current sources: Not defined
Type of list: Not defined
Volume of leads: Not defined
Priority data: Not defined
End use: Not defined
Thank you for reaching out. We will get back to you within 24 hours.
Case studies
Field proof for this service
Discover real campaigns delivered by devlo in Switzerland, Belgium, France and DACH. Each case study shows results, the method used, and operational learnings.
FAQ Clay enrichment
Is Clay right for SMEs?
Yes, if you canvass regularly.
Yes, if you canvass regularly. The ROI comes from the quality of targeting and the reduction in unnecessary mailings. We can run Clay for you or train your team.
What's the difference between Clay and Apollo?
Apollo is primarily a database and engagement tool.
Apollo is primarily a database and engagement tool. Clay is a multi-source enrichment orchestrator that cross-references, scores and automates data.
How do you guarantee data quality?
We cross-reference several sources and systematically validate key contacts (email, telephone, profile), with a control protocol before activation.
We cross-reference several sources and systematically validate key contacts (email, telephone, profile), with a control protocol before activation.
What should I do if a source is obsolete?
We use a multi-source fallback logic to replace obsolete fields and maintain a usable database.
We use a multi-source fallback logic to replace obsolete fields and maintain a usable database.
New at devlo
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