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Part of What Makes Marketing Case Studies Credible
What Separates the Strong Marketing Case Study Examples From the Weak
marketing case study examples for 2027 show six constructed models for lead quality, retention, market launches, local demand, content cleanup, and event pipelines.
What to take away
- A strong marketing case study example states one decision, the comparison that supports it, and what that comparison cannot rule out.
- A weak example states a result and stops, so a reader cannot tell whether the change caused anything.
- The real examples below name Old Spice and Dollar Shave Club, with public figures and their limits. Each one still needs a source, a denominator, and a date before reuse.
- Every figure needs a source, a denominator, a date, and a named reviewer before it is published.
- Run the checklist here before you draft, not after.
The test that separates strong from weak
Ask one question of any example: what is it compared with? A case study without a comparison is a story, not evidence.
Weak drafts report a single directional number and one cause. Strong drafts report the same number beside a baseline period, an eligible population, and a recorded alternative explanation.
The U.S. Government Accountability Office treats data reliability as fitness for an intended use, so the writer names that use first (GAO data reliability guide). Write the decision question above the draft.
Decide where the baseline and the limitation will sit before writing. Standard marketing case study sections give each part a fixed job, so the evidence has to land in the right one.
Example: the same claim written both ways
The new landing page doubled conversions, so the redesign worked.
That version is not a lie. It is unusable. A reader cannot repeat it, challenge it, or act on it.
The same claim, written as a fill-in pattern:
- Decisionpage rebuilt on [date], owned by [role].
- Comparison[metric] over [period] against a [holdout group or prior period].
- Exclusions[paid traffic, refunds, duplicate leads, bot filtering].
- Limit[what else changed], signed off by [reviewer].
Now a reader can argue with the structure. That is the point.
Real examples can carry the same structure. Old Spice's 2010 'The Man Your Man Could Smell Like' campaign is one. Nielsen data reported by Fast Company showed a 107% increase in U.S. body wash sales in the month after launch against the prior period. The limit: seasonality, distribution, and other promotions.
Dollar Shave Club's 2012 launch video is another. TechCrunch reported 12,000 orders in the first 48 hours against a pre-launch baseline of zero video-driven orders. The limit: press coverage, novelty, and a low introductory price.
Six comparisons and the claim each one can carry
Comparison that carries the claim
- Lead-quality redesign
- Qualified rate before and after the routing rules
- Retention program
- Eligible cohorts against a holdout or prior renewal window
- New-market launch
- Matched markets or phased timing
- Local demand recovery
- One area across comparable periods
- Content cleanup
- Findability and task completion, before and after
- Event-to-pipeline
- Stage rates for attendees against non-attendees
Alternative explanation to record
- Lead-quality redesign
- Traffic mix or sales acceptance
- Retention program
- Product, price, or support changes
- New-market launch
- Distribution reach and local awareness
- Local demand recovery
- Seasonality and competitor activity
- Content cleanup
- Navigation changes and shifts in demand
- Event-to-pipeline
- Sales follow-up and self-selection
Pick the comparison from the decision, not from the data you happen to hold. If you cannot name the alternative explanation, the example is not ready to publish.
Where no public figure exists, label a planning range. For a landing page test, a common planning range is a 5% to 20% relative lift, but mark it as an assumption, not a result.
Need a layout rather than a comparison? free case study templates show how HubSpot and Canva arrange the same sections.
A checklist to run before publishing
- Decision statement in one sentence, with its date.
- Baseline period, plus the comparison group or period.
- Metric definition, denominator, currency, and time zone, pulled from Google Analytics 4, HubSpot, or your CRM.
- Exclusionsbots, refunds, returns, duplicate leads, internal traffic.
- What else changed, and who reviewed the draft.
- Permission for names, logos, quotes, and customer data.
- One paragraph on what the numbers cannot support.
Seven lines, and none is optional. The last one is the line most drafts skip, which is why weak results stay unpublished.
The rules that shape the numbers
In the United States, an objective performance claim in advertising needs a reasonable basis before it is published (FTC substantiation policy). The records must exist on publication day, not months later.
That standard sets the floor for what makes marketing case studies credible, because a buyer can ask for the file behind any number.
For a Canadian audience, the same email metric carries extra weight. Record the consent basis, sender identification, and unsubscribe handling that Canada's anti-spam law requires before the number enters a chart.
CAN-SPAM in the US is lighter on consent than Canada's rules. A list that is clean in one market can be unusable in the other.
Match the example to your decision, then to the format
Lead generation, retention, launch, local, content, and events each fail on a different alternative explanation. Copying a comparison from the wrong row proves nothing.
Match on the decision in front of you this quarter. A retention team reading a launch example learns nothing about holdouts or renewal windows.
Keep the figure count low. Three to five numbers that carry the decision beat a page of charts that carry none, and each one needs its own source line and date.
Format sits under structure. A chart that hides the baseline, or a summary that drops the limit paragraph, undoes the comparison. The case study design tips cover keeping that comparison visible on the page.
Attribute the review. Naming who checked the figures, and the date of that check, survives a buyer's second read.
Common questions
Are the examples based on real companies?
Yes. The article names Old Spice and Dollar Shave Club with public figures from Nielsen and TechCrunch. Each figure still needs its own source, denominator, and date before reuse.
How many figures should a case study carry?
Fewer than most drafts. Aim for the three to five that carry the decision, each with a source, a date, and a denominator.
What if the result was negative?
Publish it. A documented test with a defined comparison and a stated limit is more useful to a buyer than a vague win.
Do Canadian figures need different wording?
Yes, on consent and on language. Note the consent basis for every email metric, then check French-language requirements, which vary by province and by whether your organization is federally regulated.
