Google Ads Impression Share Calculator
Eligible impressions from your share, with the budget and rank losses separated, because one is a spending decision and the other is not.
Impressions received 184,000
Impression share 46%
Impressions you were eligible for 400,000
Impressions missed 216,000, 54%
Why they were missed
lost to budget 31%, about 124,000 impressions
lost to rank 23%, about 92,000 impressions
the three total 100%
what to do about each budget is the larger loss, and that is a spending decision you can make today
If those impressions had performed the same
clicks missed 9,072
of those, from budget 5,208
conversions missed 281.2
value missed $59,058.72
of that, budget $33,904.08
extra spend needed $16,783.20
for the budget half $9,634.80
return on that 3.52×
verdict raising the budget pays for itself at the current rates
a caution the impressions you missed are the ones you were losing, so these are ceilings
What each share would need
50% share 200,000 impressions, 16,000 more · $1,243.20 of spend
65% share 260,000 impressions, 76,000 more · $5,905.20 of spend
80% share 320,000 impressions, 136,000 more · $10,567.20 of spend
90% share 360,000 impressions, 176,000 more · $13,675.20 of spend
Impression share is 46%, so you were eligible for about 400,000
impressions and received 184,000. The two loss figures describe
different problems: 31% lost to budget is money, and 23% lost to rank is
bids, quality and relevance. Only the first one responds to raising the
budget.
The three figures are exhaustive and sum to 100 percent. If a report
shows them summing to something else, the date ranges or the filters
differ, and the tool refuses the arithmetic rather than producing a
plausible number from inconsistent inputs.
Lost to rank is the harder one. It means your ad was not competitive
enough to enter auctions you were eligible for, and the levers are the
bid, the expected click-through rate, the ad relevance and the landing
page experience. Raising the bid works and is the most expensive of the
four.
Eligible impressions are estimated by the platform, not counted. It
infers how many auctions you could have entered from its own matching,
so impression share is a modelled figure with a modelled denominator,
and small changes in it are not worth reacting to.
A hundred percent impression share is almost never the target. The last
few percent are the least relevant queries and the most expensive
positions, and a campaign at 95 percent share is usually paying too much
for the tail. Sixty to eighty is a common healthy range for a brand term
and lower for a broad one.
The value of the missed impressions assumes the click-through and
conversion rates hold at higher volume. They will not: the impressions
you were losing are the ones you were losing for a reason, whether that
is relevance or position, so treat those figures as a ceiling rather
than a forecast.
Search impression share and search absolute top impression share are
different metrics. The second one is about position rather than
presence, and improving it costs far more per point, which is why "top
of page" bidding gets expensive quickly.
Output is valid and updates as you type.
Fix the highlighted fields to update the output.
Impression share tells you how much of the available demand you captured. The two loss figures tell you why you missed the rest, and they describe completely different problems.
Share lost to budget means the campaign ran out of money: that is a spending decision you can make this afternoon. Share lost to rank means you were not competitive enough to enter the auction: that is bids, expected click-through rate, ad relevance and landing page experience, and money is the most expensive of the four ways to fix it.
The three figures are exhaustive and sum to 100 percent, which is also a useful check on the report.
How to use
- Put in the impressions received and your impression share.
- Put in both loss figures. They should sum with the share to 100 percent.
- Add the rates to price the gap, and treat the result as a ceiling.
Example
Impressions received 184,000
Impression share 46%
Impressions you were eligible for 400,000
Impressions missed 216,000, 54%
Why they were missed
lost to budget 31%, about 124,000 impressions
lost to rank 23%, about 92,000 impressions
the three total 100%
what to do about each budget is the larger loss, and that is a spending decision you can make today
If those impressions had performed the same
clicks missed 9,072
conversions missed 281.2
value missed $59,058.72
extra spend needed $16,783.20
for the budget half $9,634.80
return on that 3.52×
verdict raising the budget pays for itself at the current rates
a caution the impressions you missed are the ones you were losing, so these are ceilingsPitfalls
The two losses need different responses. Raising the budget does nothing for share lost to rank, and raising bids to fix a budget problem makes it worse by spending the same money on fewer clicks.
Eligible impressions are modelled, not counted. The platform infers how many auctions you could have entered from its own matching. Impression share is therefore a modelled metric with a modelled denominator, and small movements in it are not signals.
The missed impressions are the ones you were losing. They were losing for a reason: lower relevance, worse position, tighter competition. So the click-through and conversion rates will be lower than your current ones, and the value figures above are ceilings rather than forecasts.
100 percent share is almost never the target. The last few percent are the least relevant queries and the most expensive positions. Sixty to eighty is a common healthy range on a brand term, and lower on a broad one.
Impression share is not the same as absolute top impression share. The second is about position rather than presence, and each point of it costs far more, which is how “top of page” bidding gets expensive quickly.
The three figures must sum to 100 percent. If they do not, the rows came from different date ranges, different networks or different filters, and this tool refuses the arithmetic rather than producing a plausible number from inconsistent inputs.
A rising share with falling conversions is a warning. It usually means the extra impressions are on queries that were being excluded for good reason.
Compatibility
Arithmetic in the browser: nothing is uploaded and nothing is stored.
Eligible impressions are derived as impressions divided by share, which is the definition inverted, and the per-reason impression estimates use the same denominator. The tool allows two percentage points of rounding slack on the total, since the reported figures are rounded, and refuses anything further out.
Search impression share, display impression share and the absolute top variants are all reported separately in the platform and are not interchangeable. This arithmetic applies to whichever one you put in; the interpretation differs, and the absolute top figures are about rank rather than presence.
The value of the gap assumes the click-through rate, conversion rate and cost per click hold at higher volume. They will not, which the output says explicitly rather than in the small print.