Conversions vs. Conversions (by Conversion Date): Which One to Use

Open a Google Ads report and you'll find two columns that seem to say the same thing: "Conversions" and "Conversions (by conversion date)". The numbers, though, almost never match. Last week shows 40 in one column and 52 in the other. Yesterday shows 8 in one and 3 in the other. Which one is real?

They both are. They measure the same reality from two different points in time, and mixing them up is one of the quietest ways to make bad budget decisions. Look at the right column at the right moment and you optimize well; look at the wrong one and you risk killing a campaign that's actually converting, or scaling one that's burning your money.

In this guide we'll look at what the two columns really mean, why they diverge, and above all when to use one versus the other to decide where to put your budget.

The core problem: a conversion has two dates

Every conversion tracked by Google Ads carries two distinct timestamps:

• The click date: the moment the user clicked the ad.
• The conversion date: the moment they actually completed the action (purchase, form filled, call, etc.).

A few minutes can pass between the two, or several weeks. A user who clicks a shoe ad on Monday and buys that same evening generates two dates that are very close together. A B2B lead who clicks your ad, downloads an ebook, and signs the contract 23 days later generates two dates that are far apart. This gap is called conversion lag, and it's the reason the two columns diverge.

Google Ads has to decide which day to "hang" that conversion on in the report. It has two ways of doing this, and they're exactly the two columns.

The "Conversions" column: attribution by click date

This is the default column, the one you see everywhere. Google takes the conversion and attributes it to the day the click happened, not the day the action happened.

Concrete example: a user clicks your ad on the 3rd of the month and buys on the 15th. In the "Conversions" column, that sale shows up in the report for the 3rd, retroactively. On the 3rd, at the moment the click actually happens, that number isn't there yet. It will only appear later, once the conversion materializes, and it gets "written back" to the day of the click.

This is the same logic model used by Google Ads Smart Bidding to learn which clicks are worth more: the algorithm needs to link the result back to the click and the keyword/audience/creative that generated it.

The "Conversions (by conversion date)" column: attribution by action date

Here Google does the opposite: it attributes the conversion to the day the action was completed. Same example, the user clicks on the 3rd and buys on the 15th: in this column the sale shows up in the report for the 15th.

This column isn't shown by default. You need to turn it on from the columns menu (under "Conversions," look for the "by conversion date" entries) or find it already present in some conversion reports.

Why the two numbers diverge (and what it means)

The divergence tells you two different things depending on the period you're looking at.

On recent days: the click date understates

If you look at the last 7 days with the standard "Conversions" column, you're seeing a number that's still incomplete. Many of those days' clicks will convert in the days ahead, and those conversions will get appended retroactively to today. The standard column, on recent days, is therefore almost always understated, and the longer your conversion lag is, the more understated it is.

This is the classic mistake: you look at yesterday, see few conversions, panic, and cut the budget. In reality those clicks still need time to mature. On recent days, the standard column is a blurry photo that only comes into focus over time.

On past, closed periods: the click date is truest to the cause

For a month that closed weeks ago, the standard column is instead the most reliable way to understand which click caused which result. If you want to know whether March's campaigns worked, the click date tells you exactly how much value March's spend generated, even if part of that value materialized in April.

The conversion-date column: a snapshot of real cash flow

The "by conversion date" column instead tells you when conversions actually came in, day by day, in a stable way that no longer gets revised. It's the right view if you want to reconstruct the real flow of sales/leads over time, or reconcile with your accounting and your CRM.

Aspect	Conversions (click date)	Conversions by conversion date
Which day it assigns the conversion to	Day of the click	Day the action was completed
Numbers on recent days	Understated, updates over time	Stable and final
Used for	Evaluating the cause (which click/campaign paid off)	Seeing when conversions arrived
Basis for Smart Bidding	Yes, the algorithm uses this logic	No
Consistency with historical ROAS/CPA	High (links spend and result to the same click)	Low (spend and result fall on different days)

A detail that trips everyone up: spend and conversions "out of sync"

There's a trap in the by-conversion-date column that you need to understand clearly, because it wrecks your CPA and ROAS calculations if you're not careful.

Spend in Google Ads is always recorded on the day the click/impression happened. If you use the "by conversion date" column, you're comparing today's spend against conversions that might come from clicks (and therefore spend) from weeks ago. The CPA and ROAS calculated on this column, day by day, are therefore misaligned: you're dividing today's spend by conversions caused by yesterday's spend.

That's why, when you calculate a campaign's economic efficiency (CPA, ROAS, and more broadly the Google Ads KPIs), the standard click-date column is the correct one: it keeps spend and result anchored to the same event. The conversion-date column is great for counting, terrible for dividing.

When to use each: the practical rule

Here's how to decide quickly, based on the question you're actually asking.

Use "Conversions" (click date) when

• You're evaluating the efficiency of a campaign/ad group/keyword: CPA, ROAS, conversion rate. You want to know if that click is profitable.
• You're analyzing past, already-closed periods (a finished month/quarter) to understand what paid off.
• You're checking what Smart Bidding "sees": the algorithm optimizes on this logic, so to understand why it makes certain choices you need to look at its own numbers.
• You're comparing performance between two periods to decide where to shift budget between campaigns.

Use "by conversion date" when

• You're reconstructing the real flow of sales/leads over time, day by day or week by week.
• You're reconciling with accounting or your CRM: the action date matches when the sale actually came in.
• You're presenting a report to a client or management on "how many conversions came in during June," meaning actually arrived in June.
• You're measuring the impact of a dated event (a promo, a Black Friday) on the real volume of closed conversions.

The takeaway in one line: click date to decide where to put the money, conversion date to tell the story of when the results arrived.