When you post a case study on LinkedIn, the numbers you use dictate your credibility. If you write, "We helped a client generate thousands of dollars," nobody believes you. It sounds like a fabricated sales projection.
If you write, "We helped a Dallas logistics firm generate $14,280 in new pipeline in 17 days," everyone believes you. Specific, exact digits feel like audited facts.
A case study post must clearly define the delta. What was the "Before" state, and what is the "After" state?
The Before: "They were running 3 SDRs sending 500 emails a day from their primary domain. Their open rate was 12%, and their domain was on the verge of blacklisting."
The After: "We migrated them to a secondary infrastructure. Sending volume remained at 500/day, but the open rate spiked to 68%. They booked 11 demos last week."
Do not sugarcoat how bad the "Before" state was. The worse the initial pain, the more impressive the cure. If your case study is just "They were doing okay, and now they are doing slightly better," it will not generate inbound leads. Highlight the frustration, the lost revenue, and the operational chaos before you introduce your solution.
To succeed, you must prioritize signal-based outreach over high-volume spam. Identify buying triggers such as recent funding, hiring spikes, or executive changes before initiating contact. Avoid generic templates at all costs.
The cost varies depending on your infrastructure, but relying on cheap data and unverified domains will ultimately burn your brand. Investing in dedicated sending domains, verified data sources, and highly personalized copywriting yields the highest long-term ROI.
Yes, but only if you avoid standard "15-minute chat" templates. B2B buyers immediately delete generic pitches. Your outreach must read like it comes from a peer, focusing on their specific pain points and offering a low-friction next step (like sharing an observation or a case study).