01
What they are
Earlier cybersecurity acquisition campaigns delivered by the team behind Signal Proof.
Case Studies
Real campaigns. Verified numbers. Nothing rounded up.
Two cybersecurity acquisition problems, two measurable outcomes, and a clear statement of what they do and do not prove.
02 published engagements
Figures as reported, not rounded
Provenance stated on every claim
Limits published alongside results
01
Here is exactly what these results are, and what they are not.
Three statements, in the order a technical buyer would want them. Read all three before the numbers.
02
What they show
Relevant market, messaging and demand experience in this exact buyer category.
03
What they are not
Proof that the full Signal Proof Method, trigger mapping through CRM progression, produced these outcomes.
01/03
02
Rebuilding demand after months of stalled acquisition.
Cybersecurity firm. November 2023 to February 2024.
Case study 01 / Positioning and conversion
Attention was never the problem. The conversion path was.
Cybersecurity firm
The problem
An established cybersecurity firm knew how to protect clients. Its own marketing produced nothing dependable. Months of Facebook ads and social activity, and attention still never became pipeline.
What changed
The acquisition path was rebuilt instead of the budget being raised. Landing-page content rewritten. SEO principles applied to how the offer was found. A more deliberate Facebook campaign routed interest into a clearer conversion path.
Verified results
Over three months, November 2023 to February 2024: $3,655.63 in ad spend produced 666 landing-page views at $5.49 per view and reached 22,812 people. The original case study reports that many visitors became paying customers, but publishes no verified customer count.
Why it matters
The lesson is not to run more ads. Acquisition stalls when positioning, message and conversion path are misaligned. Signal Proof pushes that further with trigger-led account selection, stakeholder-specific messaging and post-meeting pipeline control.
03
Fixing prospect quality before asking sales to work harder.
Cybersecurity firm. Figures as published in the original case study.
Case study 02 / Prospect quality
The sales team hadn't stopped working. The input had changed.
Cybersecurity firm
The problem
After years of successful conversations with medium and large businesses, sales fell and acquisition costs rose. Nobody could explain why a capable sales team had stopped converting.
What changed
The diagnosis pointed upstream. The team was being fed weak prospects. Rather than blaming sales, the campaign was rebuilt around stronger proof, with testimonial videos from recognisable client companies at its core.
Verified results
The published case study reports 95 sales in one week, a cost per sale as low as $10.91, and return on ad spend as high as 35.84x.
Why it matters
Sales performance is decided upstream, by the quality and motivation of what enters the pipeline. Signal Proof applies that earlier: prioritise accounts with a real reason to act, match the message to the stakeholder, qualify before engineers spend time.
04
The honest version
These campaigns solved real cybersecurity acquisition problems, but they do not prove a Signal Proof trigger-led outcome. Those get published only once every element can be verified.
Your numbers should be this specific too
- A scored market
- A trigger map
- A named bottleneck
- A 90-day plan
The Diagnostic gives you a scored market, a trigger map, a named bottleneck and a 90-day plan. Verified, written down, and yours whether Signal Proof builds the system or not.
Paid diagnostic. Credited in full against your build if you move forward.