Time Lag Report
AnalyticsAlso: Time Lag Analysis · Path Length Report
Quick definition
The Time Lag report shows how many days pass between a customer's first marketing touchpoint and their eventual conversion. It tells you whether your customers tend to convert quickly or whether they research for days or weeks before buying.
How it varies across Australia
Time lag varies sharply by product category and purchase complexity. Low-consideration purchases often convert within the same session or same day. High-consideration purchases in categories like finance, B2B software or big-ticket retail can sit in the funnel for weeks before converting. Australian businesses with longer sales cycles frequently undercount conversions by setting attribution windows that expire before the customer is ready to buy.
See data and tracking patterns across Australian industries →What it actually means
The Time Lag report is a distribution chart. On one axis is the number of days since first touch. On the other is the share of conversions that happened at each interval. What you are reading is how long your customers take to make up their minds.
For a business selling $30 impulse products, the distribution clusters at zero days. For a business selling $50,000 software contracts, it fans out over weeks. Most businesses have never looked at their own distribution and are running attribution windows that expire in seven days regardless of what the data says.
The report lives inside Google Analytics 4 (GA4) and Google Ads under the attribution and multi-touch path reports. It's one of the most useful diagnostic tools in analytics precisely because it answers a question most attribution models never ask: are we even counting conversions in the right window?
Time lag also intersects directly with attribution model choice. If you use a seven-day last-click window but your time lag report shows that thirty percent of conversions happen after day eight, last-click is invisibly undercounting a third of your results. That undercounting flows through to ROAS, to CPA and to every budget decision downstream.
If your attribution window closes before your customer decides, you are not measuring marketing. You are measuring impatience.
How it shows up
In GA4, the Time Lag report appears under Advertising, then Attribution, then Time Lag. In Google Ads, it surfaces under Tools, Attribution, then the Time Lag tab. Both show a histogram of conversions bucketed by days-to-conversion: same day, one day, two to three days, four to seven days, eight to twelve days, and so on.
The report becomes actionable when you compare it against your current attribution window setting. If your window closes at seven days but the histogram shows a long tail of conversions happening at days eight through fourteen, those conversions are being dropped from measurement entirely. Bidding algorithms, ROAS targets and channel efficiency reports are all built on incomplete data.
The Australian context
Australian B2B sales cycles, particularly in professional services, financial services and enterprise software, tend to run longer than US equivalents, partly because procurement approval chains are shorter but decision-maker access is harder in a smaller market. This can push time lag distributions further right than US benchmarks would suggest. Australian advertisers importing US-default attribution windows of seven or thirty days without checking their own data are often systematically undercounting conversions in high-consideration categories.
Where people get this wrong
Related terms
Common questions
Where do I find the Time Lag report?
In GA4, navigate to Advertising, then Attribution, then Time Lag. In Google Ads, go to Tools, then Attribution, then the Time Lag tab. Both show the same underlying data but with slightly different bucketing and attribution model filters.
What should I do if most conversions happen after my current attribution window?
Extend the window to match the actual distribution. In Google Ads, this is in the conversion action settings under attribution window. In GA4, it is in the conversion settings. Align bid strategy recalibration after changing it, since your smart bidding has been trained on incomplete conversion data.
Does time lag differ by channel?
Yes, significantly. Brand search and retargeting typically show short lag because they reach people already close to deciding. Prospecting campaigns and upper-funnel display often show longer lag. Filtering the report by channel reveals where your attribution window is most strained.
How is the Time Lag report affected by iOS privacy changes?
Privacy changes reduce the completeness of cross-device and cross-session tracking, so conversions that happen on a different device or after ITP clears cookies may drop out of the measured lag distribution entirely. The report still shows what it can track, but real lag is likely longer than the data suggests for browsers with strict tracking prevention.
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About New Rebellion
New Rebellion is a marketing intelligence consultancy. We build tools, score Australian businesses on how their marketing actually performs, and publish Debrief every day. This dictionary is part of how we work in the open.
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