A useful PPC keyword report does more than list clicks and spend. This monthly reporting template shows what to include, how to calculate the core metrics, how to separate brand from nonbrand performance, and how to turn changes in the data into documented optimization decisions.
Overview
A PPC keyword performance report should connect investment to business outcomes. At minimum, it should help you answer five questions: Which keywords received visibility? Which attracted qualified traffic? What did that traffic cost? What conversions or revenue did it produce? What should change next month?
Build the report at a consistent level of detail. For search campaigns, the keyword level is useful for bid and eligibility decisions, while the search-term level reveals the actual queries behind those keywords. Include campaign and ad group context so a keyword is not judged without knowing its match type, landing page, device mix, or budget constraints.
Use the following column structure as a practical monthly PPC report template:
| Column | What it shows | Why it matters |
|---|---|---|
| Period | Reporting month and comparison period | Prevents changes from being reviewed without context |
| Campaign and ad group | Where the keyword is managed | Connects the result to budget, targeting, and ad relevance |
| Keyword and match type | The targeted term and its matching setting | Supports keyword management and bid decisions |
| Impressions | Times the ad was shown | Provides the denominator for visibility and CTR |
| Clicks | Visits generated from the ad | Shows traffic volume |
| CTR | Clicks divided by impressions | Indicates how well the result earns attention |
| Spend | Recorded advertising cost | Shows investment |
| Average CPC | Spend divided by clicks | Shows the average cost of a visit |
| Conversions | Recorded primary actions | Measures tracked outcomes |
| Conversion rate | Conversions divided by clicks | Shows how efficiently traffic converts |
| CPA | Spend divided by conversions | Supports acquisition-cost decisions |
| Conversion value or revenue | Value assigned to conversions | Allows value-based evaluation |
| ROAS | Conversion value divided by spend | Compares return with advertising cost |
| Impression share | Eligible impressions received, where available | Provides context for growth and visibility limits |
| Search-term insight | Relevant, irrelevant, new, or duplicate queries | Creates expansion and negative-keyword actions |
| Decision and owner | Next action, rationale, and responsible person | Turns reporting into an operating process |
Platform labels and available metrics can differ. Treat the report as a stable decision framework, not a promise that every interface will use identical names or attribution settings.
How to estimate
Start by selecting the reporting period and a comparison period. A month-over-month comparison is useful for detecting recent changes, while a year-over-year comparison can reduce the effect of recurring seasonality when enough historical data exists. Keep the date range, conversion window, attribution setting, currency, and time zone consistent before comparing results.
Calculate the core metrics with these formulas:
- CTR = clicks ÷ impressions × 100
- Average CPC = spend ÷ clicks
- Conversion rate = conversions ÷ clicks × 100
- CPA = spend ÷ conversions
- ROAS = conversion value ÷ spend
- Impression share = impressions received ÷ eligible impressions × 100, when the platform supplies the relevant fields
Use a dash or “not applicable” when a denominator is zero. Do not convert zero conversions into an artificial CPA. For example, a keyword with $120 in spend and no conversions has spend but no calculable CPA; it should be flagged for review instead.
When the report is used for forecasting, preserve the inputs separately from the conclusion. A simple scenario can estimate expected conversions as clicks multiplied by an assumed conversion rate, and expected value as expected conversions multiplied by an assumed value per conversion. Label these as estimates and keep them separate from observed platform data.
For more reliable decisions, compare both efficiency and scale. A keyword with a low CPA but only one conversion may deserve observation rather than immediate expansion. A keyword with a higher CPA may still be important if it generates substantial qualified volume or assists a wider conversion path. Use the same primary conversion definition and attribution approach throughout the comparison.
Inputs and assumptions
Before exporting data, document the assumptions that can change the interpretation of a keyword performance report.
- Conversion definition: State which actions count as primary conversions and whether revenue is based on completed transactions, qualified leads, or assigned values.
- Attribution: Record the attribution model and conversion window used by the platform or analytics system. Platform-reported conversions may not match CRM or financial records.
- Data status: Note whether the period is complete and whether conversions may still be recorded after the click date.
- Brand classification: Tag brand, nonbrand, competitor, product, service, and informational themes consistently. Do not combine brand and nonbrand results in a single efficiency judgment.
- Currency and time zone: Use one reporting currency and identify the account time zone so spend and conversions align with business reporting.
- Eligibility and impression share: Treat low impressions or clicks carefully. A weak result based on very little exposure is not equivalent to a mature keyword with sustained traffic.
- Search-term coverage: Include a search-term review because the targeted keyword does not always describe every query that generated a click.
Brand and nonbrand segmentation is especially important. Brand terms often have different intent, ad relevance, conversion rates, and impression-share patterns from category or problem-based searches. Report them in separate sections, then provide a combined account view only as a summary. If competitor terms, product names, locations, or audiences have distinct economics, give them their own segments as well.
Tracking quality should be checked before optimization. Confirm that UTM parameters, conversion tags, imported analytics events, call tracking, and revenue values are behaving as expected. The PPC conversion tracking and UTM parameters guide provides a practical setup reference. If tracking changed during the month, annotate the date rather than presenting the month as a uniform dataset.
Worked examples
Suppose a nonbrand ad group records 10,000 impressions, 500 clicks, $1,000 in spend, 25 conversions, and $4,000 in conversion value during the month.
- CTR = 500 ÷ 10,000 × 100 = 5%
- Average CPC = $1,000 ÷ 500 = $2
- Conversion rate = 25 ÷ 500 × 100 = 5%
- CPA = $1,000 ÷ 25 = $40
- ROAS = $4,000 ÷ $1,000 = 4.0, or 400% when expressed as a percentage
Those calculations describe performance; they do not automatically determine the action. If the target CPA is $35, review search terms, landing-page alignment, device and location segments, and conversion quality before reducing exposure. If the keyword has strong conversion quality but limited impression share, a measured bid or budget test may be reasonable. If it spends above the acceptable CPA without qualified conversions, pausing, reducing bids, or improving the landing-page experience may be more appropriate.
Search-term analysis adds the next layer. A query that produces relevant conversions may be added as a dedicated keyword or grouped with a closely related theme. A query that attracts irrelevant clicks can be added to the appropriate negative keyword list, subject to review across campaigns. Search terms with high spend and no meaningful outcome should be prioritized, but do not use a fixed spend threshold without considering conversion lag and sales-cycle length.
Use an action column with controlled values such as Keep, Monitor, Bid, Pause, Add keyword, Add negative, Landing-page review, or Creative test. Add a short reason and an owner. For example: “Add negative: research intent generated 18 clicks and no qualified action” is more useful than “poor performance.” For ad relevance or CTR concerns, connect the report to a controlled testing plan using the PPC ad copy testing framework.
When to recalculate
Run the report monthly after the reporting period closes, but recalculate sooner when a material input changes. Recheck the report after a tracking implementation, conversion-definition change, landing-page redesign, budget shift, bidding-strategy change, major promotion, product launch, or significant targeting revision. Recalculate scenarios when prices, margins, conversion values, or acceptable CPA and ROAS targets change.
Review the report structure at least quarterly and whenever an advertising platform changes its metric definitions, attribution options, search-term reporting, or interface labels. Refresh the export fields and formula checks rather than assuming an old dashboard still means the same thing. Keep a change log with the date, affected field, and interpretation.
At the end of each monthly review, save three items: the exported data, the assumptions used, and the decision log. Then schedule the next review. Over time, this creates a comparable record of what changed, what was tested, and whether the resulting action improved qualified traffic, conversion efficiency, or revenue. That repeatable discipline is the real value of a PPC keyword reporting template.
For a broader quality check, pair this report with the PPC campaign audit checklist, and use the ROAS calculator guide when evaluating break-even assumptions or budget scenarios.
