Reader Engagement Rollup and Offers Funnel with Visit Metrics

Last verified: October 7, 2026

What You Can Now Do

Context Memo customers can now view a reader rollup report and offers funnel that breaks down visits by rate ranges, filters by date range and reader segments, and tracks offer coverage metrics in the dashboard. Before this deploy, you saw totals. A visit count, an offer count, and no way to connect them. Now you see which reader segments arrive, which rate ranges they fall into, and how far they move through the offers funnel. The decision this changes is where you spend your next publishing cycle: if one segment converts at a materially different rate than the rest, you have the evidence to write for that segment instead of guessing at an average reader who does not exist.

Where It Is in Context Memo

The rollup lives in the dashboard. Open your dashboard and you will find the reader engagement rollup alongside the offers funnel view, with date range and reader segment filters at the top of the report. The screen shows visits grouped into rate ranges, funnel stages with counts at each step, and offer coverage metrics indicating how much of your reader base an offer actually reached. Filters apply to both the rollup and the funnel at once, so a date range you set for one carries to the other.

How to Use It

1. Open the dashboard and set your date range. Start with the period that matches your last publishing push. The rollup recalculates visits, rate ranges, and funnel stages for that window only, which gives you a clean read on what the push did rather than a lifetime average.
2. Read the rate range breakdown before anything else. Visits are grouped by rate range, so you can see the shape of engagement instead of a single blended number. Note which range holds the bulk of your visits and which range holds the bulk of your conversions. They are often not the same range.
3. Apply a reader segment filter. Narrow to one segment and watch the funnel redraw. Repeat for each segment you care about. You are looking for the segment where drop-off between funnel stages is steepest, because that is the stage where your copy or your offer placement is failing a specific reader, not all readers.
4. Check offer coverage metrics against the funnel counts. Coverage tells you how much of the reader base an offer actually reached. Low coverage with a healthy conversion rate means the offer works and is under-distributed. High coverage with weak conversion means distribution is fine and the offer is not.
5. Write down the one segment and one funnel stage you will act on. Then go produce or revise the memo that serves that segment. Come back after the next cycle, set the date range to that cycle, and compare the same two numbers. That comparison is the whole point of the report.

Why We Built It

Customers told us they could not see how readers were engaging with offers or which segments were converting. They were inferring engagement from incomplete or aggregated data, which in practice meant reading a visit total, guessing at a cause, and publishing on instinct. The cost was real work spent on the wrong reader: a memo written for a segment that was already converting fine, while the segment that stalled at stage two stayed invisible. Aggregated numbers hide the only thing worth knowing, which is where a specific group of readers stops.

What It Does Not Do Yet

A few limits are worth stating plainly:

• The rollup reports. It does not act. There is no automated rule that adjusts an offer or redirects a segment based on what the funnel shows. You read the numbers and you make the call.
• Segment definitions come from reader attributes we can observe. If a distinction matters to your go-to-market and is not represented in reader attributes, it will not appear as a filter yet.
• Coverage metrics describe reach, not intent. A high coverage figure tells you an offer reached a share of your reader base. It does not tell you why a reader who saw it did nothing.
• This is dashboard-side analysis. The report does not push these breakdowns into your CRM or alerting as a scheduled digest. If you want the numbers in front of a wider team, pull them from the dashboard on your own cadence for now.

One more thing to set expectations correctly: the rollup is most useful once you have enough published memo volume and reader traffic for segment-level numbers to mean something. If you are early and your visit counts are thin, treat the rollup as directional and keep publishing. Segment analysis gets sharper as the denominator grows.