CRM with email tracking: what to measure, what to ignore
What good email tracking in a CRM actually requires post-MPP. The metrics that still produce signal, the ones to deprioritize, and the configurations that work.
Email tracking in a CRM used to be simple: embed a tracking pixel, measure opens, measure clicks, score contacts on engagement. Apple’s Mail Privacy Protection (MPP), launched in iOS 15, changed the math. Omeda’s 6-month study of 80,000 email accounts and ~2 billion emails found open rates inflated from a baseline of 15% to 29% unique opens and 40.5% total opens after MPP rolled out, with 85-90% of Apple Mail users enabling the feature.
For sales teams whose scoring and automation depended on open rates, this change broke the signal. This post covers what good email tracking in a CRM still produces, what to deprioritize, and the configurations that work in the post-MPP era.
What email tracking produces signal on
Four metrics still produce reliable signal:
1. Email delivery
Did the email reach the inbox or bounce? Bounce rates reflect contact list health. Clean bounce handling is table stakes.
2. Clicks on specific links
Click-through on CTAs, product pages, calendar booking links. Clicks require active engagement. Not inflated by image-loading privacy features.
3. Replies
Reply rate is the strongest sales email signal. Industry benchmarks suggest healthy cold outreach reply rates run approximately 3-6%, with Belkins’ analysis of 16.5M cold emails putting the average around 5.8%. Replies produce actionable follow-up.
4. Downstream conversion
Did the recipient book a meeting, start a trial, download the whitepaper? Downstream events are the real metric; email delivery/open/click are intermediate signals.
What to deprioritize
Three metrics that produce more noise than signal post-MPP:
1. Open rates as primary signal
Apple Mail’s privacy features load tracking pixels server-side regardless of whether the user opened the email. The open rate inflates and loses signal. Teams scoring leads primarily on open rates are scoring noise.
Not useless. Still a weak positive signal when aggregated across many sends. But not the primary metric anymore.
2. Open-rate-triggered automation
Flows that fire “when contact opens email, assign to rep” produce assignments based on noise. Fix: trigger on clicks or replies, not opens.
3. Open-rate benchmarks for A/B testing subject lines
A/B tests on open rate used to be the standard email optimization approach. Post-MPP, the metric is unreliable. Fix: A/B test on reply rate or downstream conversion, not opens.
The configurations that work
Three email tracking configurations that produce signal in production:
1. Score on behavioral engagement, not opens
Scoring model combines:
- Replies (highest weight)
- Specific link clicks (high weight)
- Repeated clicks across emails (medium weight)
- Downstream conversion events (highest weight)
- Opens (low weight, aggregated across many sends only)
2. Trigger automation on specific actions, not opens
- “Contact replied to outreach email”: route to rep for immediate follow-up
- “Contact clicked pricing page link”: elevate priority, notify owner
- “Contact clicked booking link but didn’t book”: fire follow-up sequence with alternative time slots
3. Report on cohort behavior, not individual opens
Report shows reply rates by segment, click rates by campaign, downstream conversion rates by audience. Individual open events are noise; cohort behavior is signal.
How Strkr handles email tracking
Strkr’s Marketing module tracks email delivery, opens, clicks, replies, and downstream conversions. The scoring surface weights behavioral signals (clicks, replies, conversions) significantly higher than opens, reflecting the post-MPP reality.
Specific capabilities:
- Click tracking on every link in outgoing email, attached to the contact record
- Reply detection via IMAP integration with the rep’s email account, attached to the contact and deal
- Downstream conversion tracking via the CRM’s native event tracking (meeting booked, trial started, etc.)
- Scoring with configurable weights per signal type
- Automation triggers on specific actions, not just opens
- Reporting at cohort level for A/B testing and campaign analysis
The design target: a sales ops lead at a 20-rep team should be able to build an email scoring and automation surface that produces signal despite MPP, with the right weights on reliable signals and lower weights on inflated opens.
Related reading: Sales activity scoring: what to automate, what to leave alone covers the broader scoring surface that email tracking feeds into.
Conclusion
Email tracking in a CRM still produces signal post-MPP, but the signals have shifted. Replies, clicks, and downstream conversions remain reliable. Opens have become inflated by privacy features and should be deprioritized.
Teams that update their scoring, automation, and reporting to reflect the new reality continue to get useful signal from email. Teams that score and automate primarily on opens are measuring noise. The platforms that make this shift easy to configure stay useful; the ones hardcoded around opens become less useful over time.