A digital marketing case study is useful only when the reader can understand what changed, what was measured and how confidently the result can be connected to the work. This guide explains how Delhi businesses can evaluate agency evidence without treating a headline number as a guaranteed outcome.
Check the five fields behind every result
| Evidence field | What a useful case study should state | Why it matters |
|---|---|---|
| Baseline | The relevant starting position before the intervention | A result has no scale or difficulty without a starting point. |
| Timeframe | The dates or review period used for comparison | Seasonality and buying cycles can change interpretation. |
| Intervention | The specific work performed and important dependencies | Several teams or market changes may influence the outcome. |
| Result context | The metric definition, denominator and material constraints | Percentages and multiples can hide the actual business scale. |
| Evidence and approval | The source used to verify the claim and permission to publish it | Confidential or unsupported claims should not appear as public proof. |
Separate attribution from contribution
Marketing activity may contribute to a result without being the only cause. Product changes, pricing, sales follow-up, stock, seasonality, brand demand and market conditions can all influence performance. A credible case study explains material dependencies and avoids claiming certainty that the evidence cannot support.
Compare relevance, not just magnitude
A result from another business is most useful when its commercial model, buying cycle, channel, starting maturity and constraint resemble yours. A smaller improvement in a comparable situation may be more informative than a dramatic headline from an unrelated category.
- Was the objective similar to your current priority?
- Was the budget and operational capacity reasonably comparable?
- Did the same channel and conversion path influence the result?
- Were lead quality, margin or sales outcomes reviewed?
- Which parts of the learning are transferable, and which are not?
Watch for evidence red flags
Be cautious when a case study omits the client context, baseline, timeframe or exact intervention; presents screenshots without explaining the data source; changes metric definitions between periods; or treats a platform-attributed result as confirmed revenue. Anonymous cases can be legitimate when confidentiality is required, but the evidence still needs internal verification and clear context.
Use Promobal's publication standard
The Promobal case-study hub publishes an outcome only after the baseline, timeframe, intervention, result context and supporting evidence have been reviewed and client approval has been recorded where required. Until that standard is met, a case remains unpublished rather than being used as promotional proof.
Ask better questions before appointing an agency
Use case studies alongside the Delhi agency selection framework, references, account ownership terms and a written measurement plan. No past result guarantees the same outcome for another business.
Discuss your growth challenge with Promobal if you want to understand which evidence and baseline should be established before work begins.