Engagement tracking tells you how readers are interacting with your emails — who's opening, who's clicking, who's gone quiet, and who's bouncing. This data powers both your campaign analytics and your segment filters, so understanding it helps you send smarter.
An "open" is recorded when a subscriber loads your email in their email client. Technically, it works by embedding a tiny 1×1 pixel image in every email — when the image loads, Narrativ knows the email was opened.
Opens are tracked at two levels:
A "click" is recorded when a subscriber clicks any link in your email (except the unsubscribe link). Clicks are more reliable than opens because they don't depend on image loading. If someone clicked, you know for certain they read the email.
Click counts are tracked per-subscriber (total lifetime clicks) and per-campaign (total clicks for that send).
A bounce happens when an email can't be delivered to a subscriber's address. There are two types:
When a subscriber clicks the unsubscribe link in one of your emails, they're immediately removed from future campaigns. Their status changes to "Unsubscribed" in your subscriber table. This is tracked per-campaign so you can see which sends had higher unsubscribe rates.
If a subscriber marks your email as spam in their email client, Narrativ receives a notification and automatically unsubscribes them. This protects your sender reputation.
Open tracking via pixel has become less reliable in recent years:
Because of this, clicks are a more reliable signal of genuine engagement than opens. An open rate of 50% might include a lot of Apple MPP pre-fetches, but a click tells you someone definitely interacted.
The Engagement column in the subscriber table shows each reader's lifetime stats: "3 opens · 2 clicks" or "—" if they've never engaged. This gives you a quick way to identify:
The Avg Open Rate card on your overview shows the percentage of active subscribers who have opened at least one of your emails. This is a lifetime engagement metric, not an average of per-campaign open rates.
It's calculated as: (subscribers with ≥1 open) ÷ (total active subscribers) × 100.
A healthy Avg Open Rate for an author list is typically 30–50%+ — many of your readers should have engaged at some point.
Engagement data is most powerful when combined with segments. Here are practical ways to use it:
Create a segment of subscribers with the Never opened engagement filter. Send them a special email: a personal note, an exclusive excerpt, or an incentive to stay. Readers who engage move out of the dormant category. Those who don't after 2–3 re-engagement emails are probably safe to remove from your list — a smaller, engaged list outperforms a large, disengaged one.
Create a segment with Has clicked — these are your most engaged readers. They're the best candidates for ARC invitations, cover reveal reveals, and advance preorder announcements.
Before a new release, send a "warm up" email to your Active last 30d segment — readers who have recently engaged. This primes your most responsive readers right before you ask them to buy or review.
A healthy list is more valuable than a large list. Tips: