Why enrichment matters more than lists
Most DACH outbound programs buy lists and run them. The reps self-research on the fly — a LinkedIn check before the call, a glance at the company website. This is expensive: a DACH SDR spends about 14 hours a week on manual research, versus 12 hours actually dialing. Enrichment flips that ratio.
Rep time allocation: researched vs pre-enriched
Hours per week per SDR.
Source: Teleroids time-motion study, 2024, n=38 reps.
Once the list is enriched before handover, the rep spends two hours a week on research and twenty-two on dialing. Same team, roughly double the throughput.
Which layers actually move the needle
Not every enrichment dataset earns its keep. We A/B tested the most common ones against a firmographic-only baseline on matched DACH cadences last quarter.
Reply-rate lift by enrichment layer
Percentage-point lift vs. baseline (firmographic-only).
Source: Teleroids A/B tests, Q3–Q4 2024, n=52 multi-touch cadences.
Intent signals win on uplift — a record showing intent to evaluate a competitor or a category gets a 3.4-point reply-rate lift. Funding and news events follow close behind, especially for SaaS and scaleup targets: a Series B announcement, a new CEO, an acquisition — all of it is a legitimate conversation-opener. Tech stack pays off in cyber and martech categories where the stack implies an adjacent need. Hiring signals are narrower but useful for scaleup audiences — a growing GTM team often signals a budget cycle. Persona fit score is real but mostly redundant with a well-defined ICP — it's the layer with lowest marginal return if you're already selective about the list.
How to sequence the layers
You don't need all five. The sequence we run at Teleroids:
- Firmographics (always). Industry, headcount band, revenue band, HQ region. Without this, nothing else has a denominator.
- Tech stack (if relevant). Cyber, DevTools, Martech, FinTech all have adjacent-stack signals worth the €0.10–€0.30 per record.
- Funding and news events. Crunchbase + news-API combo. Low cost (€0.05/record), high upside for scaleup and mid-market targets.
- Intent signals (selectively). Bombora / G2 Intent / 6sense. Not cheap (€0.50–€1.50 per record in DACH), but rerank your outbound list by intent and you skip a lot of cold work.
- Hiring signals. Only for scaleup and growth-stage plays. Easy to DIY with LinkedIn Sales Navigator + a scraper, no paid layer needed for most lists.
For most DACH mid-market campaigns, layers 1–3 are the right stack. Add intent for your top 20% of accounts only — the ROI doesn't hold across the whole funnel.
What good looks like in practice
A well-enriched record for a DACH outbound cadence has: firmographics, tech stack, one or two news events tagged with recency, an intent score (if available), and the name + LinkedIn URL of the decision-maker plus one layer above and one below them on the org chart. That's it.
That record costs between €0.40 and €1.60 all-in depending on layers. A rep dialing into it opens with a reference to something current — "saw you announced your Series B last week" or "noticed you're on Okta and just added CrowdStrike" — and the first thirty seconds of the call are no longer cold.
The GDPR angle
Every DACH buyer will ask whether enrichment data is compliant. Short answer: yes, for B2B contact work, if (a) the data source is itself GDPR-compliant and (b) you log the source per record. Most enterprise providers (Clay, ZoomInfo, Cognism) meet both bars. Document the chain of custody and the berechtigtes Interesse balancing test lands in your favor.
The decision
If your SDRs are spending more than four hours a week on manual research, your enrichment budget is too low. The cheapest thing in outbound isn't the list. It's the enrichment on top of it.




