A performance statement often gets simpler each time it moves. An analyst writes a qualified note. A presentation shortens it. A headline removes the remaining context. By the time the sentence reaches a public page, it can sound much more certain than the evidence behind it.
An attribution claim deserves an editorial check before publication. The aim is to preserve what the evidence supports and remove implications that the evidence cannot carry. This checklist is for reviewing language and documentation. It is not legal advice, and platform behavior and privacy rules can change.
Take one actual sentence from a draft case study or product page. Keep the source material open beside it. Work through the questions below before deciding whether to publish, qualify, or remove the statement.
Identify the exact claim
Underline the part of the sentence that says something happened. Then underline the part that says why it happened. Those may be separate claims, even when the sentence joins them with a small word such as “through” or “thanks to.”
For example, a draft might say that a campaign generated new customers. The source may show recorded purchases associated with campaign interactions. That is useful information, but the wording can imply a stronger causal conclusion than the source establishes. The editor needs to understand that difference before polishing the sentence.
Also look for implied comparisons. “More effective,” “better performing,” and “improved” need a reference point. Ask what the comparison is, how it was made, and whether the relevant conditions are sufficiently alike for the proposed wording.
Locate the source behind the sentence
A screenshot is a starting point, not always a complete source record. Identify the system, report, date range, filters, and person who can explain the extraction. If the claim has passed through a spreadsheet, keep the steps that transformed the original data into the published figure.
The editor does not need unrestricted access to customer data. A responsible analyst can provide a reviewable explanation and appropriately limited evidence. The important thing is that someone can reconstruct what the statement means without relying on memory.
If nobody can locate the source, pause the claim. Attractive wording does not repair missing evidence. Replace it with a narrower description of the work if that description can be verified independently.
Keep the model attached to the result
Attribution assigns credit according to a model. Google’s Analytics attribution documentation explains that credit can be assigned to interactions preceding a key event. A public statement based on such a report should retain enough context for the reader to understand what the reported credit represents.
Ask which model was used and whether it changed during the comparison. Check the relevant reporting window and included channels. If the source is a different platform, use that platform’s own documentation rather than assuming the same label has exactly the same meaning everywhere.
A short source note can carry essential context without overwhelming the page. The goal is not to paste an entire methodology into a headline. It is to avoid letting the headline imply something that the nearby explanation immediately has to take back.
Define the outcome in ordinary words
The word conversion can refer to many actions. It might mean an order, an inquiry, an account creation, or another event selected by a team. A reader should not have to guess which one supports the claim.
Replace the broad label with the actual action where possible. If the statement concerns accepted inquiries, call them accepted inquiries. If it concerns orders, explain whether the relevant figure includes later cancellations or refunds when that distinction matters to the claim.
Be equally clear about the unit. Events, people, accounts, and transactions are different units. A person may trigger an event more than once. A business account may contain several people. The sentence should describe the unit used in the evidence, rather than choosing the one that sounds most impressive.
Inspect the comparison period
A before-and-after statement invites a reader to treat the periods as comparable. Check what changed besides the work being discussed. The offer, stock availability, audience, spending, season, or destination may have changed too. Some differences may be material to the interpretation.
The point is not to list every imaginable influence. Identify the differences that the analyst considers relevant and make sure the wording does not conceal them. A qualified observation can still be useful to a reader deciding whether the work resembles their own situation.
Avoid selecting a period only because it creates a striking headline. The review should record why the chosen window is appropriate to the question. If the rationale is weak, the comparison may need to be reframed before anyone argues about adjectives.
Distinguish a report from a causal test
A report can describe observed or assigned outcomes. A causal claim asks what would have happened without the intervention. Those are different questions and may require different evidence. A public sentence should not silently move from one to the other.
Words such as “caused,” “created,” or “delivered” deserve attention when the source only reports an association. A narrower sentence can say what the report recorded under the stated conditions. That may be less dramatic, but it is easier to defend and more useful to a careful reader.
Google’s description of attribution models in Ads can help a reviewer understand the source terminology. It does not replace an assessment of the specific claim or establish that a particular campaign caused an outcome.
Check permission and the surrounding impression
Even a well-supported figure may involve information that is not cleared for public use. Confirm that the appropriate parties have approved the case study, the identifying details, and the specific statement. Permission to mention a client is not automatically permission to publish every available result.
Read the surrounding design as well as the sentence. A prominent number next to a broad promise can imply a typical result even if a small note describes one example. The image, heading, caption, and call to action should tell a consistent story.
If a sample uses illustrative data, make that clear where the sample is encountered. Do not let a sample dashboard become apparent evidence simply because it looks polished or sits beside a real service description.
Make the editorial decision explicit
A compact review table can keep the conversation focused. It should record the decision about the claim, not just a list of comments that disappear when the draft changes.
| Question | Record before publication |
|---|---|
| What happened? | The precise action and unit |
| Where is the evidence? | Source, dates, filters, and reviewer |
| What does the model mean? | Attribution context and relevant limits |
| What is being compared? | Baseline and material differences |
| Is publication permitted? | Approval for the specific statement |
| What can the copy say? | Final wording and supporting note |
If a row cannot be completed, identify who can answer it. Some claims will need a narrower sentence. Others should wait until the evidence is available. A review is successful when it produces a clear decision, including a decision not to publish yet.
Run the final sentence past a fresh reader
Give the final paragraph to someone who has not seen the earlier drafts. Ask what they think happened, what they think caused it, and whether they expect the same result elsewhere. Their interpretation can reveal implications that the project team has stopped noticing.
Compare that interpretation with the evidence. If the gap remains too wide, revise again. The finished claim should let the reader understand the work and its context without needing a private explanation from the person who wrote it.
Keep the reviewed source note with the final copy so future edits start from the same evidence. That small habit can prevent a careful claim from becoming an unsupported promise the next time it is shortened for a new page.