For some sampled pageviews, capture:
- "title" of section
- section impressions (how many times did each section appear) - if we have 500M section opens, is that good or bad? we need to know what % were opened or closed.
- page impressions - how many times was the page opened (it is much simpler if we instrument this in event logging)
- Bottom of page impression - how often does the reader reach the bottom of the page
- Article id or category (so we can look at category)
- total number of page sectoins
- total uncollapsed length of article "centimeters" - if all sections expanded = 145", this would be the number used)
- amount scrolled through
(literal scrolling if possible--so if all sections collapsed = 4" and user scrolls to bottom but doesn't expand section, user scrolled 4")
The goal is to be able to say:
- the highest % of sections opened per section impression occur when the section is in position X (by how much)
- the highest % of sections opened per section impression occur when the section title is X
- X sections are opened per pageview
- X sections are closed per pageview
- X % of the page is generally seen by user (4"/145")
- X % of pageviews bring user to the bottom of the page
And "these numbers vary by category, pagelength"
Part of this analysis: https://docs.google.com/document/d/1_Efc9xog_4z_i7jkz-pikJ-j-nymV-ox8EvGa5Ae5bY/edit