Day 7 After Buust on 107 eBay Listings: The Honest Scorecard

On May 12 I rolled Buust out on my own eBay account. 472 listings, all synced, 107 of them got bulk renders within 24 hours. Seven days later I'm looking at the numbers — and this post is what the data says, not what a sales page would turn it into.

Setup: what ran

• 472 active eBay listings on the account
• 107 listings with Buust video, bulk render on May 12 between 08:40 and 10:00 UTC
• All videos published directly to eBay as the main medium alongside the image gallery
• 0 manual edits, 0 agency, 1 click on "Bulk render"

The rest of the catalog stayed unchanged. So this isn't a strict A/B test — but the un-videoed half provides a comparison line against which the movement can be read.

Day 1 (May 12): The bulk hour

The first insight had nothing to do with performance and everything with workflow: 107 manual video productions via agency — at €200 per clip, conservatively — would have been €21,400. 107 self-shoots (one hour per listing) would have been two and a half work weeks. The bulk render became a coffee break.

That's the unspectacular truth that doesn't make it into pitches: most shops don't have "bad videos" — they have none, because the old setup never scaled. The jump from 0 to 107 in an hour is the real lever, long before the conversion question is even askable.

Days 1-7: What the numbers actually say

Instead of dumping the result into two tables, here's the full 7-day arc in one image:

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eBay's Best Match clearly responds faster than I expected. Even on day 1, impressions on the 107 listings sit +23% above the pre-baseline. That's not subtle — that's a clear engagement signal the algorithms pick up immediately (video view time, scroll depth).

Sales swing between 29 and 39 in the first three days — day 1 below baseline, from day 2 back at baseline. That's not a contradiction, that's what eBay veterans recognize: Best Match resets on every noticeable listing change. New traffic is "colder," old buyer sessions break, the listing ranking is unstable for a few days.

Interesting point: Day 6 (May 17) at 21,343 impressions is even above the render day itself (20,811). The lift doesn't just hold — it grows once the re-ranking cools down.

Aggregating days 4-6 (full days): avg. 19,489 impressions, avg. 35 sold. Compared to the pre-baseline (avg. 16,878 / avg. 39), that means:

• Impressions: +15.5%
• Sales: -10.3%
• Conversion rate: 0.18% (post) vs. 0.23% (pre) — still down

Day 7 (May 18) is here at 11,922 impressions and 20 sales, but incomplete — eBay's Sell Analytics API only returns partial data for ongoing days. Day 8 (May 19) is still completely locked today with the note "date may not be in the future," even though it's long underway. That's the typical API 24-36h lag, not a data gap.

Sounds sobering at first. But two things:

1. The sample size is small. Three pre-days against three post-days, at a baseline of ~39 sales/day, is statistical noise. A second sales wave over the weekend could flip the picture completely.
2. Conversion follows impressions with a lag. When the impression curve rises 15-20%, eBay-typical it takes two to four weeks before the listing ranking has settled around the new traffic. While Best Match is "experimenting," conversion rate is volatile.

The spread: where the real value sits

Aggregate numbers hide what's really happening across the catalog. Three examples from the 7-day window — anonymized, because the specific listings don't add to the mechanics:

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Three listings, three completely different weeks. The riser pulls clearly on all three metrics. The quiet middle sees impression lift but no sales movement — at low baseline the conversion signal is not interpretable.

Listing C deserves a clarification: sales from 5 to 1 is mathematically -80%, but not a final verdict. What actually happened: Best Match downgraded the listing after the update, impressions fell by -50% — and sales follow because they're born of impressions. As soon as the re-ranking pushes the listing back up (and video is built as an engagement signal for exactly that), impressions come back. Sales too. In the best case even disproportionately, because the same buyers now see a video instead of just images. Day 7 snapshot — day 30 picture open.

And here's how those three stories distribute across the 469 evaluated listings overall:

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Out of 469 evaluated listings, 21 show a positive conversion uplift after 7 days, the rest are neutral or negative. The average sits at +7.7%, the median at -54% — the classic power-law pattern: a few strong winners pull the average, the wide middle is still in re-ranking limbo after a week.

What I expect on day 30 (and why I still don't know)

The honest forecast based on what I see at day 7:

• Impression lift holds or grows (+15-25% over baseline). The engagement signal is measurable, eBay rewards it durably.
• Conversion rate comes back once the Best Match volatility settles — typically day 14-21. My bet: convergence on +5 to +15% CR uplift in the median.
• Power-law sharpens: The 21 winners today are probably 40-60 in four weeks, with double-digit lifts. The losers stay losers or fall further.
• Sales volume ends above baseline, because the impression multiplication offsets the CR drift in the worst case and exceeds it in the likely case.

That's a forecast, not a guarantee. In two weeks the day-21 post arrives, in four weeks the day-30 post. Same numbers, no filter. If the forecast misses, I'll write that too.

What Buust actually delivers on day 7

If I put down the magnifying glass and write the honest answer:

• Bulk pipeline works as advertised. 107 listings, one click, done in an hour. That's the unsexy but decisive part — everything else builds on it.
• Impressions respond fast and clearly. Putting video on your eBay listings gets you a measurable engagement signal within a week. That's the leading indicator.
• Conversion is a four-week story. Anyone taking day-7 sales as a verdict is reading too early. That's not deflection, that's eBay mechanics.
• The value proposition is "having videos at all," not "having brilliant videos." The biggest lever sits between listing without video and listing with video. Optimization inside video templates comes after.

Why this post stands now

There are two ways to communicate a SaaS at this stage. One is to show only the top winners and run "+46% conversion uplift" as the headline. The other is to lay out the full distribution — winners, neutral, losers — and the honest expectation of what will still change.

I'm taking the second path because that's the kind of SaaS I'd buy myself. Anyone landing here should know that the first 7 days are a beginning, not a finished result. And that the real scorecard arrives on day 30 — same numbers, same transparency.

Try Buust free — the first ten videos per platform are free during the pilot. If the logic of this test holds, you'll have your own day-7 data point in three weeks.