← All tools

Scenario calculator · no signup

Forecast SEO without hiding the assumptions

Compare conservative, base and upside traffic and conversion cases. Every demand, CTR, ramp, conversion-rate, value and margin input stays visible and editable.

Build forecast scenarios ↓

Editable scenario model

Make every forecast assumption inspectable

Enter one demand baseline, then define conservative, base and upside CTR and conversion cases. The model ramps visibility over time and shows totals against the current-CTR baseline.

Model boundary

No rank, seasonality, algorithm, implementation or attribution effect is inferred.

Scenario assumptions

Targets are yours. The tool supplies no external CTR or conversion benchmark.

Current CTR baseline · 2%

Base monthly model

CTR ramps linearly; demand changes at the annual rate; value uses the selected conversion rate and gross margin.

Target CTR 3.20% · CVR 2.00%

MonthDemandCTRClicksIncremental clicksConversionsIncremental gross profit
1100,0002.20%2,200+20044.0$1,200
2100,0002.40%2,400+40048.0$2,400
3100,0002.60%2,600+60052.0$3,600
4100,0002.80%2,800+80056.0$4,800
5100,0003.00%3,000+1,00060.0$6,000
6100,0003.20%3,200+1,20064.0$7,200
7100,0003.20%3,200+1,20064.0$7,200
8100,0003.20%3,200+1,20064.0$7,200
9100,0003.20%3,200+1,20064.0$7,200
10100,0003.20%3,200+1,20064.0$7,200
11100,0003.20%3,200+1,20064.0$7,200
12100,0003.20%3,200+1,20064.0$7,200

Forecast discipline

Keep model mechanics separate from evidence

Visibility is an assumption

Target CTR stands in for the combined effect of ranking mix, SERP appearance and query distribution. Validate it against a fixed scope.

Ramp is not a promise

The linear ramp only stages the chosen CTR change. It does not predict crawl, indexation, content, links or algorithm timing.

Commercial value needs approval

Use a qualified conversion rate, finance-approved value and gross margin. Keep revenue and gross profit distinct.

Source the search baseline consistently

Google defines CTR as clicks divided by impressions. Search Console may aggregate and filter data differently by property, page and query, so preserve the same page, country, device and search-type scope when establishing the baseline.

Google’s click, impression and CTR definitions ↗

Do not mistake modeled value for attribution proof

The value calculation multiplies the selected conversion rate, value and margin. Confirm the qualified action and attribution window in analytics, CRM, commerce and finance systems before using it as a budget case.

Build the measurement plan →

Turn the scenario into a decision

Use the forecast to expose the assumptions that need validation, then move the approved conversion and value definitions into the ROI model and monthly report.