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Deliverability Letter

Analytics

The practice of tracking what happens after you hit send on your email campaigns. Analytics shows you who opened, who clicked, who bought, and who bounced—turning guesswork into data-driven decisions about what's actually working in your email program.

What It Really Means

Email analytics is your reality check. It's the difference between thinking your emails are great and knowing they're driving results. Every email you send generates data—opens, clicks, conversions, unsubscribes—and analytics is how you make sense of it all.

Think of it as your email marketing dashboard. Just like you check your car's speedometer and fuel gauge while driving, analytics tells you if your emails are performing, where they're headed, and when something needs attention.

Why Analytics Matters

Without analytics, you're flying blind. You might have beautiful emails and clever copy, but if nobody's opening them, clicking through, or buying, you're wasting time and money.

Here's what analytics actually does for you:

  • Shows you which subject lines get 40% open rates vs. the ones that flop at 15%
  • Reveals that Tuesday at 10 AM gets twice the clicks as Friday afternoon
  • Tells you that mobile users bounce at 3x the rate of desktop users (maybe your emails aren't mobile-optimized?)
  • Proves that segmented campaigns generate 58% more revenue than batch-and-blast

Key Metrics You'll Actually Use

Open Rate: The percentage of people who opened your email. Industry average sits around 20-25%, but this varies wildly by industry. A 30% open rate for a B2B SaaS company might be excellent, while an ecommerce brand might expect 15-20%.

Click-Through Rate (CTR): The percentage who clicked at least one link. Good CTRs range from 2-5%. If you're below 1%, something's off with your content or targeting.

Conversion Rate: The percentage who completed your desired action—bought something, signed up, downloaded your guide. This is where the money lives. Even a 0.5% improvement here can mean thousands in extra revenue.

Bounce Rate: Emails that never made it. Keep this under 2%. Higher rates hurt your sender reputation and future deliverability.

Unsubscribe Rate: People who opted out. Under 0.5% is healthy. Spike above 1%? You've got a problem.

How to Actually Use Analytics

Start with one question: "What am I trying to learn?"

Don't drown in data. Pick 2-3 metrics that matter for each campaign:

  • Testing subject lines? Focus on open rates
  • Optimizing your CTA buttons? Watch click-through rates
  • Measuring revenue impact? Track conversions and revenue per email

Look for patterns over time, not just single campaign performance. That "amazing" 40% open rate might just mean you had a killer subject line once. But if you consistently hit 30%+ opens, you've found your groove.

Common Analytics Pitfalls

The Vanity Metric Trap: A 50% open rate means nothing if nobody's buying. Focus on metrics that tie to business goals.

Analysis Paralysis: You don't need 47 different reports. Start simple: opens, clicks, conversions. Add complexity only when you have a specific question to answer.

Ignoring Segments: Your overall 20% open rate hides the fact that engaged subscribers open at 45% while inactive ones drag you down to 5%. Segment your analysis like you segment your sends.

Best Practices That Actually Work

Set Baselines First: Track your metrics for 3-4 campaigns before making changes. You need to know your "normal" before you can improve.

Test One Thing at a Time: Changed your subject line, send time, and CTA button? Now you'll never know what actually moved the needle.

Look Beyond Email: Connect your email analytics to website analytics and sales data. That subscriber who "never clicks" might be your best customer—they just go directly to your site after reading.

Act on What You Learn: Analytics without action is just entertainment. If mobile opens are 60% of your list but your emails look broken on phones, fix that immediately.

Making Analytics Actionable

Every time you review your analytics, ask:

  1. What worked? (Do more of this)
  2. What didn't? (Stop or fix this)
  3. What surprised me? (Investigate why)

Then make one change based on what you learned. Small improvements compound—a 2% better open rate here, 1% better CTR there, and suddenly you're driving 30% more revenue from the same list.

Remember: Analytics isn't about perfection. It's about getting a little better each time you hit send.