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What 440,000 Subscribers Over 50 Actually Click

We looked at every open and click across our own 13 newsletters. Open rate — the number almost every media kit leads with — predicted nothing about whether anyone clicked.

Almost every newsletter media kit — ours included, until we wrote this — leads with an open rate. It is the friendliest number a publisher has, and in 2026 it is close to meaningless.

We can show that using our own data, because we are in an unusual position to test it. RetireHub publishes 13 daily newsletters to the same broad audience: American adults aged 50 and over. Same acquisition channels, same send infrastructure, same editorial standards, different subjects — money, health, deals, games, entertainment, books, scams, nostalgia, pets, beauty. That makes the portfolio something close to a natural experiment. If open rate told you anything useful about how engaged a list is, it should show up here.

It doesn’t.

The finding: open rate predicts nothing

Across our 10 established newsletters, the correlation between open rate and click rate was r = −0.01. That is not a weak relationship. That is no relationship at all — knowing a title’s open rate told us nothing whatsoever about how likely its readers were to click.

r = −0.01 Correlation between open rate and click rate across 10 newsletters serving the same 50+ audience. Effectively zero.

The clearest illustration is the two ends of our portfolio. RetireHub, our flagship, has by far the highest open rate in the group at 43.1% — a number we would happily put at the top of a rate card. It ranks fifth of ten on click rate. Daily Steals has the second-lowest open rate in the portfolio at 25.5%, and the third-highest click rate. A buyer choosing between those two lists on open rate alone would pick the wrong one.

Takeaway

If a publisher leads with open rate and is vague about clicks, that is information. Ask for click rate on delivered emails, and ask what share of it comes from advertising units rather than editorial links.

Engagement across 13 newsletters

Here is the whole portfolio, unedited. We have included the titles that perform worse than our average, because a benchmark that only contains a publisher’s best work isn’t a benchmark.

RetireHub portfolio engagement, as of 19 August 2026. Rates are for the trailing 3 months, except the three newest titles (marked †, trailing 4 weeks). Click rate is unique clicks as a share of delivered emails.
NewsletterSubjectActive subsOpen rateClick rate
RetireHubGeneral / retirement95,97543.1%0.87%
Daily StealsDeals & discounts53,96825.5%1.05%
PlaytimeGames & puzzles51,53527.7%0.81%
Peak HealthHealth & longevity51,47231.2%0.63%
Silver & CentsPersonal finance50,93831.9%0.68%
Money MogulPersonal finance49,23329.2%0.67%
Spilled TeaEntertainment49,22431.5%0.90%
What to Watch Tonight †TV & streaming13,12432.7%1.11%
The Book Nook †Books12,95730.9%1.07%
Scam of the Day †Fraud protection12,13125.5%0.84%
Portfolio (subscriber-weighted)440,55732.5%0.83%

Three more titles — The Time Capsule, The Beauty Brief and Happy Tails — launched in the past week and are excluded from the averages; together they add 140 subscribers, bringing the portfolio to 440,697.

We break the portfolio out title by title for transparency, not as a menu: placements run across all 13 newsletters as a single campaign, so an advertiser gets the blended audience rather than picking one list. The per-title split is here so you can see what that blend is actually made of.

Two things stand out. First, the range is narrow on clicks (0.63% to 1.11%) and wide on opens (25.5% to 43.1%) — the metric that varies most is the one that matters least. Second, the two titles with the highest click rates are the two smallest established lists. Scale and engagement pull against each other, which is worth remembering when a publisher quotes you a very large number.

Why open rate stopped working

The mechanism is not mysterious. Apple’s Mail Privacy Protection pre-loads the tracking pixel in every message delivered to Apple Mail, whether or not a human ever looks at it. Any list with a large Apple Mail population reports an open rate substantially inflated by machines. Because Apple Mail share varies by list, by acquisition channel and by device mix, the inflation is uneven — which is precisely why open rates across our own portfolio scatter without predicting anything.

This matters more for an older audience than a younger one. iPhone and iPad penetration among American adults over 50 is high, and Apple Mail is the default client that arrives on the device. The demographic most likely to be described as “less digital” is, in our data, one of the most likely to generate machine opens.

A click, by contrast, still requires a person to decide to do something.

Inside a single issue: where the clicks actually go

Portfolio averages tell you which list to buy. They don’t tell you what to buy on it. For that we looked link-by-link inside individual issues.

Take the 18 August issue of the RetireHub flagship. Ranked by clicks, the top twelve links in the entire issue were all poll responses. Between them, the four polls in that one issue drew roughly 680 unique clicks — from a single morning’s send, on questions that took a reader two seconds to answer.

The pattern repeated the next day. In the 17 August issue the top seven links were again polls, and the best-performing single poll drew 149 unique clicks. Below the polls, the strongest performers were curated links to third-party editorial — a good-news story and a personal essay — rather than anything transactional.

Takeaway

In this audience, interaction beats presentation. A reader who will scroll past a static unit will happily answer a question, and the gap is not marginal — it is the difference between the top of the click distribution and the middle of it. The most valuable inventory in a senior newsletter is the unit that asks the reader to do something.

This is the part of the analysis that most changes how we would spend a media budget. Reach and open rate are properties of the list; they set a ceiling. Format and integration are properties of the placement, and in our data they do more to determine whether anyone acts than the size of the list does. A smaller newsletter with a placement woven into what the reader came for will out-earn a larger one carrying a standard unit, and it will usually cost less.

What this means if you're buying

Four things we would do differently if we were on the buying side of this table.

Ask for click rate on delivered emails, not open rate, and not click-to-open. Click-to-open is a ratio with an inflated denominator; it inherits the Apple Mail problem. Delivered-to-click is the number that survives contact with reality.

Ask what share of the newsletter’s clicks come from advertising. Most publishers have never been asked and will have to go and look. The answer is the closest thing to an honest quality signal you will get, and a publisher who won’t answer it has told you something.

Buy position and integration over impressions. Our data says a unit’s placement and format matter more than the raw size of the list it appears on. An integrated placement high in the issue beats a standard unit at the bottom of a bigger one. The two are not in tension — what you want is integration and reach, which is why we run placements across the whole portfolio as one campaign rather than selling a banner on a single list.

Discount raw reach. Very large senior email lists are frequently assembled from paid lead-generation, and paid-acquisition subscribers open and click at materially lower rates than organically acquired ones. Ask how the list was built. Ask what share of it was acquired in the last 90 days. We have built lists both ways and the difference is not subtle.

Method and limitations

Source. All figures are first-party, pulled from the beehiiv API for publications operated by RetireHub on 19 August 2026. No third-party estimates, panels or modelled data are involved. Nothing here is projected or rounded up.

Windows. Rates cover the trailing three months for the seven established titles and the trailing four weeks for the three titles launched in the past two months, which do not yet have a three-month history. Subscriber counts are current actives on the pull date.

Click rate is unique clicks as a share of delivered emails. Correlation is the Pearson coefficient across the 10 titles with more than 10,000 subscribers; the three titles launched within the past week are excluded from all averages and from the correlation, as their samples are far too small to be meaningful.

Per-issue analysis covers the 40 most-clicked links in each of two consecutive flagship issues; the long tail beyond that is excluded, which understates the totals quoted. Poll clicks are counted per response option and aggregated back to the poll. Because each poll splits its clicks across several URLs, per-URL rankings understate rather than overstate poll performance.

Biggest limitation. This is one publisher's portfolio, aimed at one demographic, acquired predominantly through paid social. It is a large sample of a specific thing, not a representative sample of email in general. We would encourage you to run the same correlation on your own sends before accepting the conclusion.

Frequently asked questions

What is a good open rate for a newsletter aimed at seniors?

Across our 13 newsletters reaching 440,697 subscribers aged 50+, the subscriber-weighted average open rate was 32.5%, with individual titles ranging from 25.4% to 43.1%. But open rate is a weak quality signal in 2026 because Apple Mail Privacy Protection pre-fetches images and registers opens that no human performed. Judge a list on click rate instead.

What is a good click rate for a newsletter aimed at seniors?

Our subscriber-weighted average click rate was 0.83% of delivered emails, with titles ranging from 0.63% to 1.11%. Click rate is the more honest metric because it requires a deliberate human action that image pre-fetching cannot fake.

What kind of newsletter unit gets the most engagement from older readers?

Interactive units, by a wide margin. In the issues we analysed, reader polls were the most-clicked elements in the newsletter — the top twelve links in one issue were all poll responses, drawing around 680 unique clicks between four polls. Older readers are highly responsive to being asked a direct question, which is why integrated and interactive formats outperform static display units in this audience.

Is open rate or click rate more important when buying newsletter advertising?

Click rate. Across our 10 established newsletters, the correlation between open rate and click rate was r = -0.01 — statistically indistinguishable from zero. Our highest-opening newsletter, at 43.1%, ranked fifth of ten on clicks. Buying on open rate means buying a metric that carries no information about whether readers act.

Want the raw numbers for your category?

Placements run across all 13 newsletters as a single buy — one campaign, the whole 440,697-subscriber audience. We'll walk you through the engagement numbers behind it.

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