Email Analytics That Tell You the Truth

Most platforms count every open — including bots, security scanners, and Apple MPP prefetches. Skyp filters them out so your stats reflect real human engagement.

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Campaign Performance

Last 30 days

• Delivery Rate: 97.2%
  Industry avg: 85–90%

• Open Rate: 37.9%
  Industry avg: 15–20%

• Reply Rate: 5.2%
  Industry avg: 1–3%

Recent Campaigns

• Fintech SaaS: Q2 Reactivation
  847 contacts
  99.1% delivered
  41% open rate

• Series B Founders: Cold Outreach
  412 contacts
  98.4% delivered
  38% open rate

• RevOps Leaders: Product Launch
  1,203 contacts
  97.8% delivered
  35% open rate

Stats you can actually make decisions from.

• Bot and security-scanner opens removed before your dashboard updates — no manual cleanup required
• Apple MPP prefetch opens identified and excluded so your open rate reflects humans, not Apple's mail servers
• Real engagement signals (human opens, replies, clicks) surface the contacts worth calling or retargeting

Bot-filtered analytics

Security scanners and Apple MPP inflate open rates on most platforms. Skyp runs every engagement event through a 25-stage filtering pipeline. When you see a number, it reflects real human activity.

Managed deliverability

Done-for-you domain setup, professional Google inboxes, inbox warmup, SPF/DKIM/DMARC, and custom tracking domains. Skyp maintains a 97.2% platform delivery rate. You never touch the infrastructure.

Handwritten emails, by AI

Skyp's AI researches every contact before writing -- their role, recent news, tech stack, open positions. Each email is written from scratch for that person. No templates, no merge fields, no detectable patterns.

Q2 Reactivation Email Preview

To: Alex Chen
From: alex@skyp.ai
Subject: our webinar last week

Alex,

Glad you could join last week. Appreciated your question about the competitive landscape.

Let me know if you'd like to hop on a call: my calendar is here.

Alex Shartsis · Founder, Skyp AI · alex@skyp.ai

What our customers say

"Setting up Skyp was easy. I got a reply in the first day–and was able to send 188 follow ups I would never have gotten to without it."

Ivan Smilianic
Partner, Innovation Properties Group

"Skyp delivered. We started seeing meetings booked through campaigns from the beginning. It is key to our growth and fundraise."

Jason Webley
CEO, Quote2Cash

"Skyp has been a reliable, insightful partner. Their expertise consistently guides our strategy and has fundamentally changed how we approach our campaigns."

Jeremy Zuker
CEO, Scoop Commute

What is email analytics?

Email analytics is the measurement and reporting of how recipients engage with your emails — opens, clicks, replies, bounces, and unsubscribes. For cold email, accurate analytics are the foundation of optimization: they tell you which messages are landing, which subject lines work, and which contacts are worth following up on.

The problem is that most email platforms report inflated metrics. Every platform counts bot opens, security scanner clicks, and Apple MPP prefetches as real engagement — because doing so makes their numbers look better. The result: open rates of 45-60% that bear no resemblance to how many humans actually read your email.

What inflates your email open rates?

Understanding the noise in your email metrics helps you see why filtering matters:

Apple Mail Privacy Protection (MPP)

Since iOS 15, Apple Mail prefetches email content in the background before the user opens it — triggering your open tracking pixel even if the person never reads the email. On lists with heavy Apple Mail users, this alone can inflate open rates by 15–25 percentage points.

Security scanner bots

Corporate email security systems (Microsoft Defender, Proofpoint, Barracuda, and others) automatically scan links and images in incoming emails. This triggers your tracking pixel and link clicks — even if a human never opens the email. Enterprise-heavy lists can see 20-40% of 'opens' coming from security scanners.

Email preview panes

Many email clients display a preview pane that renders the email — and fires your tracking pixel — before the recipient consciously opens it. Outlook and Gmail web are common sources of this phantom engagement.

Link pre-fetching

Some security systems and email clients pre-fetch (follow) links in emails to check for malicious content. This generates click events in your analytics for links the human never actually clicked.

Internal testing and forwarding

Sales tools that send test emails, CRM integrations that forward copies to logging addresses, and internal email forwarding chains can all generate open and click events that aren't human prospect engagement.

Email analytics: frequently asked questions

Why is my cold email open rate so high but replies are low?

High open rates with low reply rates is the signature of inflated metrics. If you're seeing 45–60% open rates, a significant portion are likely Apple MPP prefetches, security scanner opens, or preview pane triggers — not human reads. Skyp's analytics filter these out, giving you a verified open rate that actually correlates with reply activity.

How does Skyp filter out bot opens?

Skyp uses a multi-step pipeline that identifies and excludes non-human engagement signals: Apple MPP prefetch timing patterns, known security scanner IP ranges and user agents, link pre-fetch behavior signatures, and statistical anomalies (like 'opens' that happen within milliseconds of delivery). The result is a verified open rate that represents human reads.

What is Apple MPP and how does it affect email analytics?

Apple Mail Privacy Protection (MPP), introduced in iOS 15 and macOS Monterey, routes email content through Apple's proxy servers and prefetches it — firing your tracking pixel — before the user decides to open the email. If your list has significant Apple Mail usage, MPP alone can add 15–25 percentage points to your reported open rate. Skyp identifies MPP prefetch patterns by timing, IP range, and user agent and excludes them from your open rate.

Does filtering email analytics reduce my apparent results?

Yes — your verified open rate will be lower than the raw number. A 47% raw open rate might filter down to 38.5% verified. But the verified number is what's actually useful: it correlates with replies and conversions, whereas the raw number includes bots, scanners, and prefetches that will never respond to your email. Optimization based on verified metrics produces real improvements; optimization based on inflated metrics is noise chasing.

How do I use email analytics to improve my campaigns?

Once you have verified engagement data, look for patterns: which subject lines drive human opens, which messaging drives clicks, which segments reply. Contacts with verified opens but no replies are good candidates for a follow-up sequence or LinkedIn outreach. Contacts with neither opens nor clicks suggest deliverability issues or list quality problems worth investigating.

Can I see which contacts actually opened my emails?

Yes. Skyp's contact-level analytics show verified open and click activity per recipient — filtered for bot and scanner activity. This lets you identify warm contacts for prioritized follow-up: a verified human open from a target account is a meaningful signal worth acting on.

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