If your dashboard says it was a great week but your pipeline feels quiet, this is for you. Today’s lead shows how bots and privacy tools inflate opens and clicks, and how to filter that noise.
Spot the tells, clean the reports, and focus on signals from real people.
🤖 Stop Letting Bots Ruin Your Email Metrics
Email security scanners and privacy features can inflate opens and clicks, making healthy campaigns look “great” while hiding real issues. This guide shows how to spot bot activity, filter it from reports, and focus on metrics that reflect human behavior.
Key Takeaways:
- 🕵️ Know the culprits: Link scanners, prefetchers, and privacy features fire opens and clicks before humans ever see your email.
- 🧪 Test for bot tells: Watch for instant opens, 0-second reads, multiple links “clicked” at once, identical user agents, and unusual geos.
- 🧹 Clean your reporting: Use bot filtering, exclude suspicious user agents and IPs, track only primary CTAs, and compare unique human clicks over time.
- 🎯 Refocus your KPIs: Treat opens as directional only. Optimize for human replies, form submits, conversions, and revenue, not vanity spikes.
📧 My 7-Figure Cold Email System, No Fluff
I run Email Outreach Company, and we live in the inbox every day. In this interview, I break down how we scaled to 100+ clients, send roughly a million emails a month, and win by stacking tiny 2–5% lifts. The work starts with deliverability, then crystal-clear ICPs, then simple copy that earns real replies.
Key Takeaways:
- 🧱 I start with infrastructure: Never blast from the main domain. Spin up multiple domains and real users, cap at ~20 sends per inbox per day, and lock in SPF, DKIM, and DMARC.
- 🧼 List quality is non-negotiable: Source verified contacts, clean and prune hard. High bounces wreck inboxing and waste spend.
- ✍️ Simple copy outperforms: Subject “Hi {FirstName}.” One sentence per line, no links or images, no open/click tracking. Ask for a quick reply.
- 🎯 Benchmark, then iterate: Hitting ~1 positive reply per 1,000 emails is strong. If you’re below that, fix the list, offer, or message and stack small gains.
⚡ How EOC Sparked Qualified Demand for Pvilion
Pvilion makes solar-powered fabric structures. We rebuilt their outbound from the ground up, targeting the right buyers and specifiers, tightening deliverability, and pairing crisp cold email with value-first follow-ups. Result: consistent enterprise meetings and a stronger pipeline for a complex, high-consideration product.
Read the full case study here »
Key Takeaways:
- 🎯 ICP, not guesses: We mapped ideal accounts by use case and buyer role, then built clean, verified lists to match.
- ✉️ Inbox-first execution: Multi-domain setup, real-user inboxes, and strict send caps kept messages landing with the right people.
- 🧠 Message that moves deals: Short, benefit-led copy and sequenced follow-ups turned curiosity into booked conversations.
- 📊 Prove it in the numbers: Weekly reporting on replies, meetings, and next steps aligned the team and scaled what worked.
My Last $.02
Your decisions rely on trustworthy numbers. If bots inflate wins, you back weak subjects, keep weak lists, and miss fixes that drive revenue.
Start simple — treat opens as directional, track one primary CTA, watch unique human clicks, and keep reply rate and meetings in view. Clean measurement turns every send into a real learning loop.
Until next time, happy emailing!
Adam