Amazon Best Deal Results: Traffic Before and After
TL;DR
We measured amazon best deal results on one listing: sessions rose during the deal then fell below baseline. Here is what the data shows and what it does not.
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Short answer: Our amazon best deal results showed sessions climbing during the deal period, then settling below where they started once the deal ended. Before the deal, sessions averaged 29.3 per day; during the deal, 48.7 per day; after the deal, 26.1 per day. This is one listing on Amazon Australia, one deal window, and the findings do not generalise.
What we measured
Avanta Global EOOD ran a Best Deal on its own Amazon.com.au listing from 22 August 2026 to 31 August 2026. We measured three consecutive windows: the 10 days before the deal, the 10 days of the deal itself, and the 14 days after it ended. Because the windows differ in length, every figure below is a per-day rate.
| Window | Days | Sessions / day | Ad clicks / sessions | Unit session percentage |
|---|---|---|---|---|
| Before | 10 | 29.3 | 0.80 | 18.4% |
| During | 10 | 48.7 | 0.78 | 27.3% |
| After | 14 | 26.1 | 0.82 | 23.8% |
Data source: Business Reports (Detail Page Sales and Traffic) and Sponsored Products campaign report, measured 2026-09-22.
What it means
The deal brought a clear lift in daily sessions. That lift did not persist. After the deal, sessions per day were lower than before it started.
Ad dependency — ad clicks divided by sessions — barely moved across the three windows. It was 0.80 before, 0.78 during, and 0.82 after. The deal did not reduce reliance on paid traffic, and it did not increase it by any meaningful amount.
Conversion — measured here as Amazon's unit session percentage, units ordered divided by sessions — tells a more complicated story. It was 18.4% before the deal, rose to 27.3% during it, and settled at 23.8% after — above the pre-deal figure. That post-deal conversion rate is the most interesting number in the set, and also the one we are least able to explain.
For a seller deciding whether to run a similar promotion, the traffic picture is straightforward: expect volume during the window, expect it to fall back after. Plan inventory and advertising budgets around that shape. Do not assume the traffic gain will outlast the deal.
What we do not know
This is one listing, one deal. Demand on Amazon Australia also changed across the measurement period, and we have no way to separate the effect of the deal from broader demand shifts.
The higher conversion rate after the deal ended is not explained by anything in the data. It may reflect a change in the audience, a change in demand, a change in the listing, or something else. We do not know.
We also cannot isolate organic sessions by subtracting ad clicks from sessions. The two metrics count different events. On 8 September, that subtraction produced a negative number on our own data, which confirms the approach is unreliable. Use the ad-clicks-to-sessions ratio instead, as shown in the table above.
Do not use these figures as a benchmark for your own deal. One product, one marketplace, one window is not a controlled experiment.
How to check this on your own account
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Open Business Reports and pull Detail Page Sales and Traffic by date. Select the days immediately before, during, and after your deal. Note the session count for each day.
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Open the Sponsored Products campaign report for the same date range. Pull ad clicks for each day.
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For each window, add up the sessions and divide by the number of days in that window. Do the same for ad clicks. This gives you per-day rates for each window.
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For each window, divide ad clicks per day by sessions per day. This is your ad dependency ratio for that period.
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Compare the three windows using the per-day figures, not the raw totals. The windows will almost certainly differ in length, and totals will mislead you.
For a fuller picture of what each session actually earns, the Settlement Profit Reader maps settlement-report line items to individual periods so you can see net contribution for the same windows. Understanding the relationship between ad spend and true profit is also covered in our post on ACoS versus profit.
FAQ
Did the Best Deal increase sessions after it ended?
No. Sessions per day after the deal were 26.1, compared with 29.3 before it started. The deal produced higher traffic during the deal window, but traffic fell back below the pre-deal baseline once the window closed. This was on one listing on Amazon Australia.
Did ad dependency change because of the deal?
Ad clicks divided by sessions was 0.80 before the deal, 0.78 during it, and 0.82 after it. The variation is small across all three windows. Based on this one measurement, the deal did not alter how much the listing depended on paid traffic.
Why was conversion higher after the deal than before it?
Unit session percentage (units divided by sessions) was 18.4% before the deal and 23.8% after it. We do not have an explanation for that difference. It could reflect a change in audience, demand, or something in the listing itself. The data records the outcome; it does not identify the cause.
About the data: All figures are from Avanta Global EOOD's own Amazon.com.au account, one listing, measured across windows of 10 days before, 10 days during, and 14 days after a Best Deal running 22–31 August 2026. Sessions and unit session percentage come from Business Reports (Detail Page Sales and Traffic); ad clicks come from the Sponsored Products campaign report. The measurement date is 2026-09-22. Units are sessions per day, a ratio, and a percentage. This is not a controlled experiment, the windows were not isolated from other demand changes, and nothing here constitutes advice for any other seller or listing.
About this article
This article was researched and drafted with AI assistance. Before publication, it passed automated editorial review against Avanta Global EOOD's published editorial standards (factual accuracy, source attribution, voice & readability). A person on the AgentXray team read and approved it before publication. Our editorial standards page documents exactly what we check. We continuously monitor published content for accuracy and update articles when new information emerges. Learn more about our editorial process and the team behind AgentXray.
See the numbers your own settlement report posts: try AgentXray.
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About this article
This article was researched and drafted with AI assistance. Before publication, it passed automated editorial review against Avanta Global EOOD's published editorial standards (factual accuracy, source attribution, voice & readability). Our editorial standards page documents exactly what we check. We continuously monitor published content for accuracy and update articles when new information emerges. Learn more about our editorial process and the team behind AgentXray.