Case Studies
LinkedIn automation case studies: no claims, just numbers from real accounts.
Three LinkedIn automation case studies: anonymized breakdowns of real CompLeadly customers – starting point, process, and the full results, exactly as they appear in the account statistics.
What actually happened in these accounts
- +186% to +278%
- Network growth across the three case studies
- Consultant, sales team, staffing agency · data as of September 8, 2026
- 16.3% – 38.8%
- Average yearly acceptance rate
- Connection requests over the last 12 months, per case study
- up to 1,826 hrs
- manual work hours saved
- Case study "The Consultant", data as of September 8, 2026
Three LinkedIn automation case studies, three strategies
From a one-person consultancy to a 30-person sales team — every number comes from that customer's own account statistics.
From 30,000 connection requests to a network that replaces sales outreach
A solo consultant for emergency and succession management for owners of IT companies, based in western Germany. Customer since 2022.
2.773 → 10.480 (+278 %)
Network size
Regional focus beats reach: a 38.8 percent acceptance rate
A staffing agency with a regional focus in a southern German metropolitan area. Outreach is run by the company's own leadership. Customer since July 2023.
2.161 → 7.464 (+245 %)
Network size
One new profile, 971 contacts — and a 35 percent acceptance rate
A provider of telecommunications solutions for business customers with around 30 sales representatives on the platform. Customer since 2024.
340 → 971 (+186 %)
Network size
Frequently asked questions
Where do the numbers in the LinkedIn automation case studies come from?
From the three customers' account statistics in CompLeadly, as of 8 September 2026. The figures are averages, not peak values. Only the starting point, such as the network size before they began, was reported by the customers themselves.
How is the time saved calculated?
CompLeadly uses fixed rates per action it actually performed: 0.75 minutes per profile visit, 2.5 minutes per connection request and 3 minutes per message. On top of that come 60 percent of the time the software ran unattended. Customers see the same figure in their weekly report; one person-day equals eight hours.
Who is behind the three case studies?
A solo consultant for emergency and succession planning in western Germany, a provider of telecommunications solutions with around 30 sales reps, and a staffing agency in a southern German metropolitan area. We don't publish names, but we do give industry, region and size. All three agreed to the publication of their numbers.
What does the acceptance rate in the case studies mean?
It shows the share of connection requests from the last twelve months that were accepted. For the consultant that was 676 out of 4,145 requests (16.3%), for the sales team 746 out of 2,125 (35.1%) and for the staffing agency's main target audience 1,288 out of 3,317 (38.8%).
Can the results be transferred to my business?
Each case study states who it applies to, from coaches without their own sales team to regional service providers. In two of the three accounts the strongest lever was the same: a tighter target audience instead of more volume. That lifted the consultant's acceptance rate to 20 to 25 percent, and the regional focus brought the staffing agency 38.8 percent.
The next case study could be yours.
Try it free for ten days, no risk and no credit card. Want to show your own numbers in a case study later? Just reach out.
Privacy
Developed since 2019 — your data is hosted in the EU.
Cancel anytime
No minimum term beyond the current billing period.