Which traffic figure should I use?

Only the affected traffic. If a product-page cluster dropped 60% while the blog was flat, model the cluster with its own conversion rate. Site-wide averages hide the real cost.

How long do recoveries actually take?

For core-update losses, improvements typically show at the next core update — so 2–6 months is realistic. Technical regressions (noindex, canonical errors) recover in weeks once fixed.

No. Everything runs in your browser. The share link encodes your inputs in the URL; nothing is sent to a server.

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Traffic Drop Loss Calculator

Put a currency figure on a traffic drop. Model the monthly revenue gap, how long recovery takes, and the cumulative loss you can take to the board to get the fix prioritised.

Core updatesRecoveryReporting

Step 1

The drop

Monthly organic visits before the dropUse a stable 3-month average, not the peak.Traffic drop%Now 78,000 visits / moConversion rate of the affected traffic%If a commercial cluster dropped, use its rate, not the site average.Value per conversion₹Lead value, AOV or first-year LTV.

Step 2

Recovery assumptions

Months until the fix shipsDiagnosis + dev time. Loss is flat until then.Months to recover after the fixCore-update recoveries typically take 2–6 months.Recover to% of originalSet below 100 if part of the loss is permanent (e.g. AI Overviews).Reporting horizonmonths

Result

What this drop is costing

Revenue lost per month

−₹21,00,000

₹60,00,000 → ₹39,00,000

Conversions lost per month

840

42,000 visits × 2.0% CVR

Cumulative loss · 12 mo

₹73,50,000

with fix in 2 mo, recovered by M6

If nothing is fixed

₹2,52,00,000

flat loss × 12 months

Every month the fix slips costs ₹21,00,000. Shipping it one month sooner saves roughly that much — compare it to the dev cost when you ask for the sprint. Fixing it fully saves ₹1,78,50,000 against doing nothing over 12 months.

Month by month

Recovery path

Month	Traffic	Revenue	Loss	Cumulative
M1	78,000	₹39,00,000	−₹21,00,000	₹21,00,000
M2	78,000	₹39,00,000	−₹21,00,000	₹42,00,000
M3	88,500	₹44,25,000	−₹15,75,000	₹57,75,000
M4	99,000	₹49,50,000	−₹10,50,000	₹68,25,000
M5	1,09,500	₹54,75,000	−₹5,25,000	₹73,50,000
M6	1,20,000	₹60,00,000	—	₹73,50,000
M7	1,20,000	₹60,00,000	—	₹73,50,000
M8	1,20,000	₹60,00,000	—	₹73,50,000
M9	1,20,000	₹60,00,000	—	₹73,50,000
M10	1,20,000	₹60,00,000	—	₹73,50,000
M11	1,20,000	₹60,00,000	—	₹73,50,000
M12	1,20,000	₹60,00,000	—	₹73,50,000

How to read the result

01
Revenue lost per month. The run-rate gap. This is the number that makes a traffic drop a business problem rather than an SEO problem.
02
Cumulative loss. Loss stays flat until the fix ships, then shrinks along the recovery ramp. Change “months until the fix ships” to see what each month of delay costs.
03
If nothing is fixed. The flat-loss comparison. The difference between the two totals is the budget case for the fix.
04
Recover to below 100%. Use this when part of the loss is structural — an AI Overview now answers the query, or a SERP feature pushed you down. Be honest here; it builds credibility.

Assumptions & FAQ

Which traffic figure should I use?: Only the affected traffic. If a product-page cluster dropped 60% while the blog was flat, model the cluster with its own conversion rate. Site-wide averages hide the real cost.
How long do recoveries actually take?: For core-update losses, improvements typically show at the next core update — so 2–6 months is realistic. Technical regressions (noindex, canonical errors) recover in weeks once fixed.
Is my data stored?: No. Everything runs in your browser. The share link encodes your inputs in the URL; nothing is sent to a server.

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