kapa.ai The conversion rate from product detail page to purchase is 5%. After applying the “First Time” filter on the detail‑page event, the conversion rate drops to 4%. Can I interpret the remaining 1% as the conversion rate for visitors who have previously viewed the detail page?
No, you cannot directly interpret the remaining 1% (the difference between 5% and 4%) as the conversion rate for visitors who have previously viewed the detail page. Here’s why: Applying the “First Time” filter on the detail-page event restricts the funnel to only those users for whom this is their very first time performing the event. The resulting 4% conversion rate represents the percentage of users who converted after their first-ever detail page view. The original 5% conversion rate includes all conversions, regardless of whether the detail page view was a user’s first or a repeat view.However, the difference (1%) is not necessarily the conversion rate for repeat viewers. This is because: - The denominator (number of users) changes when you apply the “First Time” filter; it only includes users on their first view, not all users with repeat views. - Users who have multiple detail page views may also convert on their first view, and may also convert on subsequent views. The 1% difference does not isolate only those who converted after a repeat view—it simply reflects the change in conversion rate when restricting to first-time events.To accurately measure the conversion rate for users who have previously viewed the detail page (i.e., repeat viewers), you would need to specifically filter for users on their second or later detail page views and calculate the conversion rate for that group. The knowledge sources confirm how the “First Time” filter works, but do not provide a direct method for calculating the conversion rate for repeat viewers using just the difference between the two rates Analyzing First Time Users.In summary: The 1% difference is not a direct measure of the conversion rate for repeat viewers. It simply shows the change in conversion rate when focusing only on first-time detail page views.
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kapa.ai If I understand correctly, the First Time filter includes users who are performing that event for the first time within the date range I selected. So if I don’t apply the First Time filter, then the data will include a mix of users doing the event for the first time and users who have done it before. Is that right?
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Yes, that's correct. When you apply the First Time filter in Mixpanel, it restricts the event to only the first time each user performs it within the selected date range. If you do not apply the First Time filter, the data will include all occurrences of the event—both users doing it for the first time and users who have done it before. This means your analysis will reflect a mix of first-time and repeat event occurrences Analyzing First Time Users.
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No, subtracting the conversion rate with the First Time filter from the conversion rate without the filter does not give you the conversion rate for users who have used it before.Here’s why: The First Time filter shows the conversion rate for users on their first-ever occurrence of the event within the date range. Without the filter, the conversion rate includes all occurrences—both first-time and repeat events. The difference between these two rates does not represent the conversion rate for repeat users, because: - The denominators are different: the First Time filter only counts users on their first event, while the unfiltered version counts all users/events (including repeats). - Some users may convert on both their first and subsequent events, so the populations overlap.To accurately measure the conversion rate for users who have done the event before (i.e., repeat users), you would need to specifically filter for users on their second or later occurrence of the event. The knowledge sources explain how the First Time filter works, but do not provide a method for isolating repeat-user conversion rates by simply subtracting the two rates Analyzing First Time Users.In summary: Subtracting the two rates does not yield the conversion rate for repeat users. A separate filter or analysis is needed to isolate and measure conversions for users who have previously performed the event.
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If the conversion rate with the First Time filter applied is 4%, and the conversion rate without the filter is 5%, this tells you that users are slightly more likely to convert when you include all occurrences of the event (both first-time and repeat views) compared to only first-time occurrences.This suggests that repeat interactions with the event (e.g., users viewing the product detail page more than once) may have a positive effect on conversion, since the overall conversion rate (which includes repeat views) is higher than the conversion rate for first-time views alone. However, this difference does not directly quantify the conversion rate for repeat users, only that including repeat events increases the overall conversion rate. To isolate the conversion rate for repeat users specifically, you would need to filter for users on their second or later occurrence of the event, which is not directly described in the knowledge sources Analyzing First Time Users.In summary: The insight is that repeat event occurrences are associated with a higher overall conversion rate, but the exact conversion rate for repeat users cannot be determined from this difference alone.
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