Is email tracking dead and should marketers stop using open rates?
Published 19 Apr 2025
Updated 27 Oct 2026
14 min read
Summarize with
Updated on 27 Oct 2026: We clarified privacy-protected opens, tracking consent, and the changes needed for reliable campaign reporting and automation.
No, email tracking is not dead. Marketers should not stop using open rates entirely. They should stop treating open rate as proof that a specific person read, cared about, or acted on an email.
Open rates still deserve a place in reporting, but only as a directional health signal. A sudden fall in opens can point to inbox placement trouble, image blocking, a template problem, a tracking-domain issue, list fatigue, a mailbox-provider change, or inbox summaries reducing the need to open. It does not, by itself, prove that demand dropped.
- Use open rates for baseline trends and supporting deliverability checks. Treat subject-line comparisons cautiously when privacy fetches dominate.
- Do not use opens as a primary KPI, individual lead score trigger, or revenue attribution metric.
- Give more weight to clicks with bot filtering, replies, qualified visits, conversions, complaints, unsubscribes, bounces, authentication pass rates, and inbox placement evidence.
The practical answer is simple: keep the tracking pixel if it supports reporting and meets the privacy rules that apply to your recipients, but build decisions around outcomes and delivery diagnostics. Open rate has value when it is compared against your own historic baseline. It has far less value when it is treated as a universal benchmark.
Why open rates are weaker now
An email open is usually recorded when a tracking pixel, a small remote image in an HTML email, is requested. Most dashboards calculate unique open rate as unique recipients with a recorded open divided by delivered messages, multiplied by 100, although definitions vary. The request can come from a person or an automated system. Image blocking and plain-text reading can leave genuine reads uncounted, and a reader can click without a recorded open.
Email engagement infographic comparing human and proxy opens with cached images, bot clicks, and conversions.
When Protect Mail Activity is enabled, Apple Mail Privacy Protection (MPP) downloads remote content in the background regardless of whether the recipient reads the message, and hides the recipient's exact IP address. The protection depends on the mail client and its settings, so a Gmail address read in Apple Mail can also be affected. Gmail's image proxy and caching obscure technical details and repeat loads; they do not make every recorded open an Apple-style background fetch. Inbox previews and AI-generated summaries also let readers get context without opening the full message. For more detail, read about Gmail image caching.
B2B campaigns add another layer. Corporate security tools can request images, follow links, rewrite URLs, and inspect messages before the recipient sees them. That means clicks are also noisy. Filter likely non-human activity using several indicators together, such as all-link clicks, security-gateway user agents, and repeated checks from data center networks. A fast click alone does not prove automation.
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Unique opens | Low | Trend checks | Lead intent |
Total opens | Very low | Anomaly review | Demand score |
Filtered clicks | Medium | Content interest | Exact identity |
Human replies | High | Human response | Scale metric |
Validated conversions | High | Business result | Inbox diagnosis |
How to treat common email engagement signals.
Privacy rules can change the tracking decision
Measurement quality is only one reason to review tracking pixels. Recipient-level open tracking can record the time of an image request and associate technical data with an individual identifier. Depending on the setup, that data can include device details and an approximate location. This makes open tracking a privacy and governance decision as well as an analytics setting.
Requirements depend on the recipient's location, the purpose of the pixel, and whether the measurement is strictly necessary for a service the recipient requested. France's CNIL email pixel guidance explains when consent is required and recognizes a narrow exemption for individual deliverability measurement of mail linked to a requested service. Exempt data must be limited to that purpose, without reuse for marketing engagement analysis. The UK ICO guidance says tracking pixels fall under PECR's separate rules for storage and access technologies. Permission to send an email does not automatically authorize every tracking purpose.
Audit the purpose before the pixel
- Document what the pixel records, which identifier it uses, who receives the data, and how long the data is kept.
- Review requirements for each recipient location, audience, message type, and tracking purpose with qualified privacy counsel.
- Do not treat aggregate delivery measurement and recipient-level engagement automation as the same use.
- Provide clear information and a working consent or objection path where the applicable rules require it.
For addresses collected before April 14, 2026, the CNIL's standard deadline to send clear pixel information and an easy objection option was July 14, 2026. Timely notice with no objection supports continued tracking under its transitional approach; objectively documented operational difficulties justify only a reasonable extension. If the required notice was not sent, obtain consent where required or stop that tracking. Disable recipient-level open tracking whenever it has no defined purpose or valid basis.
What Gmail warnings do and do not mean
A warning banner in Gmail does not prove that Gmail has banned tracking pixels. Gmail normally displays images but withholds them when it considers the sender or message suspicious. A recipient can also choose to block external images, so a missing image alone is not a security verdict. A tracking pixel can be present in normal commercial email without triggering a warning by itself.
Do not diagnose from one screenshot
One inbox screenshot has weak diagnostic value. Before changing your tracking policy, test the same message across multiple inboxes, folders, domains, and sending identities.
- If the message lands in the junk folder, image loading and warning behavior change.
- Review SPF, DKIM, and DMARC results. A failure in one method alone does not establish why a message was filtered.
- Redirect chains, mismatched domains, and suspicious tracking hosts can affect filtering.
- Gmail bulk senders, roughly 5,000 or more messages to personal accounts in 24 hours across a primary domain and its subdomains, must meet requirements including SPF, DKIM, and DMARC. Marketing and subscribed messages need one-click unsubscribe and a visible unsubscribe link. DMARC can start at p=none; either SPF or DKIM must pass with the required domain matching.
Inspect tracking pixels and click redirects separately when testing a warning. Use branded tracking domains, keep redirects short, send wanted mail, authenticate every sending stream, support easy unsubscribe, and watch recipient complaints. A branded tracking domain does not guarantee inbox placement.
When inspecting the actual message, test a real email with Suped's email tester, then compare that result with mailbox placement and post-send metrics.
Email tester
Send a real email to this address. Suped shows a results button when the test is ready.
?/43tests passed
A single test helps identify authentication and message-header issues before a campaign goes out. It does not establish inbox placement or verify that recorded opens came from people.
When open rates still help
Open rates still help when you compare like with like: the same list type, same mailbox mix, same sending domain, same ESP, same tracking setup, and similar campaign type. In that context, a sudden shift has information value even if the absolute number is wrong. Compare privacy-filtered and unfiltered data separately where available. Removing identified machine opens does not recover a true human open rate, because image-blocked reads remain missing.
Open rate drop triage
Compare matched campaigns against your own 30 to 90 day baseline. Review sample size and corroborating signals; there is no universal percentage drop that proves a delivery problem.
Check measurement
Opens changed alone
Review tracking changes, image loading, mailbox mix, and campaign volume.
Review engagement
Outcomes also fell
Check audience quality and content when filtered clicks or conversions also fall.
Investigate delivery
Delivery warnings present
Check authentication and placement when rejection or complaint data also worsens.
Review aggregate trends by mailbox family, campaign type, and segment age before changing creative. Seasonal behavior, sender requirement enforcement, provider filtering changes, and aging subscriber cohorts can all move opens without a true content failure.
A tracking-pixel request proves that the tracking server was contacted. It does not identify the message folder or prove inbox placement: a proxy or security scanner can fetch remote content without a human reading the email. Use placement evidence and receiving-server responses to investigate an open-rate change.
- A stable list with a sudden open drop deserves a deliverability review.
- Use opens as a secondary signal in randomized subject-line A/B tests. Confirm the result with filtered clicks or conversions.
- A segment with low opens, low clicks, and high complaints needs attention.
- Open changes can support an inboxing hypothesis, but they do not prove placement alone.
When open rate changes, investigate the cause. When it looks good, avoid assuming every open belongs to a human.
Where marketers should shift measurement
Choose the primary campaign KPI around the action the email is meant to produce. Track delivery health separately, and use filtered engagement to explain the business result.
Old open-led model
- Open rate drives campaign judgement.
- One open can create a sales trigger.
- Non-openers are removed without more context.
Outcome-led model
- Conversions, replies, revenue, and retention carry more weight.
- Clicks, visits, form fills, and replies are filtered and weighted.
- Engagement, purchase history, complaints, and source quality are reviewed together.
Clicks need the same caution. Clicks on every link or repeated checks from a security network suggest automated inspection, especially immediately after delivery. Use several indicators and confirm meaningful site activity before scoring a lead. The deeper issue is covered in the related guide on bot clicks.
Consistent email campaign metric definitionstext
Unique open rate (%) = recipients with a recorded open / delivered emails * 100 Click-through rate (CTR, %) = recipients with a filtered click / delivered emails * 100 Conversion rate (%) = recipients with an attributed conversion / delivered emails * 100 Revenue per delivered email = attributed revenue / delivered emails
Delivered means accepted by the receiving server, which does not establish inbox placement. Use unique recipients and the same reporting window for campaign comparisons. For example, 200 recipients with filtered clicks out of 10,000 delivered emails is a 2% click-through rate (CTR), regardless of the number of recorded opens. Use campaign tags and a fixed attribution window for conversions and revenue; attributed revenue does not establish incremental revenue caused by the email.
Click-to-open rate (CTOR) is unique recipients with a click divided by unique recipients with a recorded open, multiplied by 100. With 200 filtered clickers and 5,000 recorded openers, CTOR is 4%. If machine opens inflate the denominator, CTOR falls without a change in clicks. Use it only for matched internal trends. Avoid universal engagement benchmarks, and track complaint and bounce rates separately using each provider's calculation rules.
The goal is to reduce the number of decisions made from one noisy event. Keep opens in the dashboard, but place them beside filtered clicks, complaint rate, unsubscribe rate, bounce rate, conversion rate, and downstream revenue.
A practical reset after a sudden drop
- Pick one primary action for the next campaign and measure the result against that action.
- Add a simple reply prompt when human response matters more than site traffic.
- Build engaged segments from recent clicks, replies, purchases, meetings, or account activity.
- Clean lapsed addresses gently and test one variable at a time so the result has a clear cause.
How to update open-based automations and A/B tests
Privacy-generated opens affect automated decisions as well as reports. Audit existing workflows whenever their next step depends on whether someone opened an email.
- Replace open-triggered lead scores and follow-up branches with qualified replies or confirmed form submissions. Filter automated clicks before using click triggers.
- Stop automatic resends based only on a missing open. Image blocking leaves some readers uncounted, while privacy fetches make some inactive contacts look active. Cap frequency for any resend.
- For subject-line A/B testing, randomly split comparable recipients and use the same sending window. Choose the winner using filtered click-through rate or conversions, with opens as a secondary signal.
- Review send-time optimization and re-engagement rules that depend on opens. Set an inactivity window suited to the buying cycle and check purchase history or other confirmed activity before suppressing subscribers.
The deliverability layer matters first
Before debating open rates, confirm that the domain can be trusted. Authentication failures, broken DNS, bad forwarding paths, blocklist (blacklist) listings, and reputation problems can suppress engagement before the content gets a fair chance.
A practical workflow starts with domain health checks, then moves into ongoing monitoring. Suped's product brings authentication results, issue detection, fix steps, and blocklist (blacklist) visibility into one place, so a drop in engagement can be checked against authentication and reputation data before creative changes.
Suped DMARC dashboard showing email volume, authentication health, and source breakdown
For the DMARC layer, DMARC monitoring shows which sending sources pass or fail and which need fixes. DMARC passes when SPF or DKIM passes for a domain that meets DMARC's matching requirements relative to the visible From domain; either method is sufficient. A different return-path domain or a DKIM failure alone does not prove DMARC failure. Review legitimate senders before enforcing policy. Aggregate reports describe authentication at reporting receivers, not inbox placement, and arrive after the reported activity.
The same is true for reputation. Blocklist monitoring helps identify listed sending IPs or domains. If a blocklist or blacklist listing appears, check whether affected receiving providers use that list and whether rejection or placement data changed. Prioritize listings with delivery impact rather than assuming every listing explains lower opens.
Suped workflow for an open-rate drop
- Confirm every sender is known, authenticated, and tied to the correct From domain.
- Use automated issue detection to find SPF, DKIM, DMARC, and DNS problems.
- Review Suped alerts when authentication failure rates exceed your threshold. DMARC alerts depend on aggregate reports arriving; they are not live traces of individual messages.
- Review blocklist and blacklist status before blaming creative or subject lines.
A practical decision framework
You can keep open tracking for a defined purpose while making campaign decisions from stronger evidence. Use the campaign objective to choose the primary metric.
Email measurement flowchart covering baseline comparison, delivery checks, filtered clicks, and campaign outcomes.
If the email is a newsletter, keep opens for trend monitoring only when the tracking purpose and recipient choice meet the applicable privacy rules. If it is an SDR sequence, avoid using one open as a sales trigger. If it is a revenue campaign, measure conversion and contribution. If it is a deliverability investigation, use opens only after authentication, placement, bounces, complaints, and blocklist or blacklist status are checked.
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Newsletter | Filtered clicks | Trend |
Sales sequence | Qualified replies | Weak |
Promotion | Revenue | Support |
Reactivation | Confirmed response | Caution |
Deliverability | Placement | Clue |
How to decide what to measure first.
The mistake is using open rate to answer questions it was never built to answer. It can answer, "Did something change?" It cannot answer, "Did this named person read the message and want a call?"
Views from the trenches
Best practices
Compare opens with your own campaign baseline before treating a drop as a delivery issue.
Filter click events before using them for lead scoring or campaign reporting dashboards.
Investigate authentication, placement, and reputation before changing campaign creative.
Common pitfalls
Treating one Gmail warning screenshot as proof that all tracking pixels are blocked.
Using one open as a sales trigger without checking proxy and scanner behavior first.
Cleaning lists only by non-opens, then removing people who still buy or reply later.
Expert tips
Use opens as a trend signal, then confirm changes with filtered clicks and business outcomes.
Segment consumer and enterprise mail because image loading and security scanner behavior differs.
Keep privacy expectations clear so tracking does not reduce recipient trust later.
Marketer view
Marketer from Email Geeks says open rates have always been flawed and work best as one signal among many.
2024-08-27 - Email Geeks
Marketer view
Marketer from Email Geeks says a Gmail warning usually points to suspected unwanted mail, not every tracking pixel.
2024-08-27 - Email Geeks
Set campaign KPIs beyond open rates
Keep open rate as a trend line only where the tracking purpose meets the applicable privacy rules. Set one primary campaign KPI, such as qualified replies or purchases, and use filtered clicks to understand the response. Review open-based automation before the next send.
Use Suped's product to investigate authentication changes and relevant blocklist (blacklist) listings alongside campaign results. Connect those findings with receiving-server responses and placement evidence before changing subject lines or suppressing subscribers.
