Identifying File Count Thresholds for Upload Completion Issues

Tobias · 2026-01-07T15:50:46.390Z

I've got a funnel that tracks upload start to upload success. One of the properties is the file count. How can I find out, which file count thresholds are most likely to result in not completing the funnel (ie upload is cancelled) ?

Identifying File Count Thresholds for Upload Completion Issues | Mixpanel Community

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kapa.ai
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Hi Tobias, Please stand by as I search the Mixpanel knowledge base for an AI-powered answer. I normally take about 15 seconds or so. In case AI cannot answer your question, feel free to reach out to Mixpanel support at mixpanel.com/get-support. If you have follow-up questions for this thread, please tag me again with your question: @kapa.ai <follow-up question> 👋
Feel free to ask a follow-up question once I've answered by mentioning me with @kapa.ai
kapa.ai
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You can get at this in Funnels by using breakdowns and measurements that relate conversion to your file_count property; the docs don’t describe a single “auto-threshold finder”, so you’ll need to inspect segments manually.Here’s a practical way to do it, based on what’s documented: 1. Build your funnel - Step 1: Upload Started - Step 2: Upload Succeeded (or equivalent “success” event) [Funnels overview]2. Use file_count as a breakdown - In the funnel, click Breakdown and choose the file_count event property (on the step where it’s set, usually Step 1). [Breakdowns] - This will show conversion rate per file_count value. Segments with low conversion rate / high drop‑off are your “risky” file counts.3. Switch measurement to focus on conversion - In the Measurement menu, use Conversion Rate (or Unique Users at the final step) to see which file_count values are least likely to complete. [Counting methods]4. **Bucket or group file counts (optional)** The docs don’t explicitly show numeric bucketing for funnel breakdowns, so if you don’t want one row per exact file_count, you’d need to: - Either define a computed/derived property upstream (e.g. “1 file”, “2–5 files”, “6–10 files”, “> 10 files”) and break down by that; or - Use the raw file_count breakdown and visually identify where conversion drops off (e.g. conversion is stable up to 5 files, then falls sharply above 10).5. Drill into behavior around risky thresholds - For a file_count segment with poor conversion, click that segment and use View as Flow from the funnel step to see what users who drop off do instead (e.g. cancel, navigate away, error events). [View as Flow]Because the docs don’t describe automatic threshold detection, you’ll be visually comparing conversion rates across file_count segments to infer the thresholds where drop‑off spikes.
kapa.ai is still learning and improving, please let me know how I did by reacting below.
ℹ️ Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.

kapa.ai
APP
·
·
Hi Tobias, Please stand by as I search the Mixpanel knowledge base for an AI-powered answer. I normally take about 15 seconds or so. In case AI cannot answer your question, feel free to reach out to Mixpanel support at mixpanel.com/get-support. If you have follow-up questions for this thread, please tag me again with your question: @kapa.ai <follow-up question> 👋
Feel free to ask a follow-up question once I've answered by mentioning me with @kapa.ai
kapa.ai
APP
·
·
You can get at this in Funnels by using breakdowns and measurements that relate conversion to your file_count property; the docs don’t describe a single “auto-threshold finder”, so you’ll need to inspect segments manually.Here’s a practical way to do it, based on what’s documented: 1. Build your funnel - Step 1: Upload Started - Step 2: Upload Succeeded (or equivalent “success” event) [Funnels overview]2. Use file_count as a breakdown - In the funnel, click Breakdown and choose the file_count event property (on the step where it’s set, usually Step 1). [Breakdowns] - This will show conversion rate per file_count value. Segments with low conversion rate / high drop‑off are your “risky” file counts.3. Switch measurement to focus on conversion - In the Measurement menu, use Conversion Rate (or Unique Users at the final step) to see which file_count values are least likely to complete. [Counting methods]4. **Bucket or group file counts (optional)** The docs don’t explicitly show numeric bucketing for funnel breakdowns, so if you don’t want one row per exact file_count, you’d need to: - Either define a computed/derived property upstream (e.g. “1 file”, “2–5 files”, “6–10 files”, “> 10 files”) and break down by that; or - Use the raw file_count breakdown and visually identify where conversion drops off (e.g. conversion is stable up to 5 files, then falls sharply above 10).5. Drill into behavior around risky thresholds - For a file_count segment with poor conversion, click that segment and use View as Flow from the funnel step to see what users who drop off do instead (e.g. cancel, navigate away, error events). [View as Flow]Because the docs don’t describe automatic threshold detection, you’ll be visually comparing conversion rates across file_count segments to infer the thresholds where drop‑off spikes.
kapa.ai is still learning and improving, please let me know how I did by reacting below.
ℹ️ Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.