Follow some simple steps to create case studies that celebrate your clients and build more business for you!
Most case studies read like press releases. Here’s how to write ones that actually persuade.
By Linda Pophal, MA, SPHR · Strategic Communications, LLC
A case study is a detailed, evidence-based account of how a specific client or customer achieved a measurable outcome using a product, service, or approach. Case studies are told in narrative form to help prospective buyers understand what results are possible and how they might be achieved in their own context. A well-written case study is one of the most persuasive content formats available to B2B marketers because it combines social proof (‘someone like me has done this’) with specificity (‘here’s exactly what happened and what it produced’).
I’ve written a lot of case studies over the years for clients across industries, in formats ranging from one-page snapshots to 3,000-word deep dives. Over that time I’ve read even more: the ones clients show me as examples of what they want, the ones competitors publish, the ones that show up as thought leadership assets in B2B sales cycles.
The pattern I see most often: case studies written for the company that produced them, not for the prospect who is supposed to be persuaded by them.
The goal isn’t to track everything. It’s to track the right things—consistently, in a way that informs decisions.
Most content marketers are measuring the wrong things. Here’s how to tell the difference.
By Linda Pophal, MA, SPHR · Strategic Communications, LLC
Content marketing metrics are the quantitative and qualitative measures used to evaluate whether a content program is achieving its intended business objectives. They include audience growth, lead generation, search visibility, and revenue attribution. The distinction between meaningful metrics and vanity metrics is critical: vanity metrics (page views, social media likes, follower counts) may look impressive but reveal little about business impact, while meaningful metrics connect content activity directly to outcomes that matter to the organization.
Every content marketer I’ve worked with has felt the pull of the vanity metric. The blog post that got 2,000 views. The LinkedIn post with 150 likes. The social media following that crossed a round number.
These numbers feel like progress. They’re easy to report. But they’re often meaningless.
One of the most valuable things I brought from journalism to content marketing wasn’t a writing technique or a structural framework. It was the interview.
The best content doesn’t come from what you know. It comes from what you’re able to draw out of the people who do.
By Linda Pophal, MA, SPHR · Strategic Communications, LLC
Interviewing subject matter experts for content marketing is the practice of conducting structured conversations with domain specialists like executives, practitioners, researchers, or clients to gather original insights, stories, and perspectives that form the foundation of high-quality written content.
Done well, the expert interview is the single most powerful tool available to content marketers for producing material that is genuinely authoritative and distinctively voiced.
A growing percentage of searches—particularly for informational, advisory, and how-to queries—are now answered directly by AI engines.
SEO gets you a spot on a list of links. GEO gets you cited by an AI. Here’s the difference and why it changes everything.
By Linda Pophal, MA, SPHR · Strategic Communications, LLC
Generative Engine Optimization (GEO) is the practice of structuring and presenting content so that AI-powered search engines including ChatGPT, Perplexity, Google’s AI Overviews, and similar systems are more likely to surface, cite, and reference it when answering user queries. Unlike traditional SEO, which aims to rank content in a list of links, GEO aims to make content the direct source of an AI’s answer, appearing not as a link to click but as the authority being quoted.
Something has changed in how people find information online. Most content marketers haven’t caught up yet.
Write a prompt you were already going to write. Add these two sentences at the end. See what the AI does with it.
What if the fastest way to improve your AI prompts was to ask the AI to do it for you?
By Linda Pophal, MA, SPHR · Strategic Communications, LLC
Prompt engineering is the practice of crafting precise, well-structured instructions for generative AI tools—specifying context, desired format, tone, audience, and output type—to produce more accurate, relevant, and useful responses. As AI tools become standard in professional workflows across every industry, the ability to write effective prompts is rapidly emerging as one of the most consequential skills in the modern workplace. And like most skills, it improves with deliberate practice not just use.
I’ve been an early adopter of AI tools. I’ve used tools like ChatGPT, Claude, and Perplexity extensively in my own work and for clients, and I’ve been intentional about trying to improve my prompt writing skills along the way.
More specific context. Clearer output instructions. Better framing of what I actually need.
If you’re having a customer issue that’s “happening all the time” shouldn’t you be trying to address, instead of ignore, it?
“This happens all the time” is not a customer service strategy.
By Linda Pophal, MA, SPHR · Strategic Communications, LLC
Chronic customer service failure occurs when an organization identifies a recurring problem that negatively impacts customers but chooses to absorb the complaint volume rather than address the root cause—often because the problem has become so normalized that staff no longer recognize it as fixable. In an era of increasing automation and AI-driven customer interactions, chronic failures are becoming more, not less, common as technology handles transactions efficiently but removes the human touchpoints that once caught and corrected errors before they impacted the customer.
This isn’t a hypothetical. This is something that happened to me recently.
September will be here faster than you think. The time to plan for it is now.
By Linda Pophal, MA, SPHR · Strategic Communications, LLC
Fall content strategy is the practice of planning, developing, and positioning content in advance of the September–November period—typically the highest-engagement quarter of the year for B2B content marketing—so that organizations can publish with intention and consistency when audience attention and buying activity peak. Building a fall content strategy in June or July, rather than August, is what separates organizations that dominate Q4 from those that scramble to keep up.
We’re at the end of June. Back-to-school displays are appearing in stores. Conference season is ramping back up. And if you’re in B2B content marketing, you know what that means: Q3 is the sprint to Q4, and the organizations that perform best in September, October, and November are almost never the ones who started planning in late August.
They’re the ones who used the relative quiet of summer—while others were coasting—to build the infrastructure for a strong fall.
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