What actually gets replies in DACH outbound
Reply rates by industry, channel and funnel stage, from real data instead of LinkedIn gut feeling. So you know whether your numbers are good or just normal.
Read for freeBasis: anonymised aggregate data from 23 active GTM Goat workspaces, around 46,500 contacted leads and 133,000 sourced companies, as of mid-2026. Plus the wider CegTec track record: 3+ years of outbound, 2 million+ emails sent and analysed.
The average lies
Across all industries the blended reply rate sits at roughly 4% (reply or better, measured against contacted leads). That number is useless, because the spread behind it is enormous.
Same sequence, same quality, same senders: one industry returns 12% replies, another 0.5%. The difference is not your copywriting. It is who you write to.
Reply rate by industry
Reply-or-better per contacted lead, aggregated across all workspaces and grouped into segments:
| Industry | Reply rate | Read |
|---|---|---|
| Finance & banking | 10-15% | top tier |
| Solar & renewables | 4-9% | strong |
| Real estate & property mgmt | 3-4% | solid |
| Software & IT | 1-2% | crowded |
| Manufacturing & engineering | 0-1.4% | hard |
| Automotive | 0-0.5% | very hard |
A banking segment with 2,039 leads reached 10.5%. A software-development segment with 1,408 leads reached 0.9%, and a large technology segment with 3,424 leads reached 0.1%. These are not outliers, they are robust cohorts.
Reply rate by channel
Each channel has a different job. Run everything through one channel and you give away either reach or meetings.
The lesson is not "which channel is best" but combination: LinkedIn opens, email books, WhatsApp keeps warm. Single-channel teams only see one slice.
The funnel maths
This is the funnel across all workspaces. Use it as a reality check for your own numbers:
The real steering metric is not the reply rate alone but the positive rate (interest and meeting requests). Optimise for "any reply" and you will celebrate rejections too.
How to read your own numbers
- Segment before you optimise. A blended reply rate hides the fact that one industry carries you while three cost you money. Always split by industry and seniority.
- Compare against the industry, not against LinkedIn gurus. 3% in software is good. 3% in banking is below average.
- Message problem or market problem? Well below the industry benchmark means it is the message. At the average and wanting more means it is the industry or the channel mix.
- Fewer than 50 leads per segment is noise. Only above that threshold are reply rates reliable.
An honest read
Next level: from benchmark to system
Benchmarks show you where you stand. A system makes sure you move. That is what GTM Goat does, it measures your reply and positive rates by industry, channel and angle in real time and automatically reinforces what works.
Reply and positive rates by industry and persona, live rather than in a quarterly report.
LinkedIn, email and WhatsApp as one funnel, not three silos.
Winning segments and angles are scaled automatically, losers are dialled back.
Every message with outward effect runs through your approval.
Common questions
How is "reply rate" defined here?
The share of leads with a status of "replied or better" (reply, interest, meeting intent, meeting) out of all contacted leads in a segment. The positive rate counts only interest and meeting requests.
Why does finance reply so much better?
Clear, current triggers (regulation, succession, interest rates), large deal sizes, and far less cold-outbound saturation than software. Relevance beats volume.
So should I avoid software and industry?
No. It means you do not win there on volume but on precision, very specific angles, warm channels and multi-threading. The cold scattergun does not work there.
Is this your data or client data?
Anonymised aggregates across 23 workspaces. No raw or single-client data, no names, only patterns and benchmarks.
Re-read the report
Take your own numbers, segment by industry and channel and compare against the benchmarks above.
Back to the topYour benchmark, measured live
We point GTM Goat at your industries and channels, measure your reply and positive rates in real time and scale what works. Live in a week.
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