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Finding your perfect email cadence without the guesswork
Your audience’s ideal email frequency isn’t a mystery, here’s how to find it.

Happy Monday! And Happy Diwali to everyone celebrating 🪔
If you’ve ever looked at your campaign metrics and wondered, “Are we emailing too much?”; you’re not alone.
Finding the right email frequency is one of the hardest balancing acts in lifecycle marketing. Too often, it’s based on instinct, “best practices,” or competitor behavior — not data.
Today’s email walks you through a 5-step process to uncover your optimal email cadence using real audience signals (not guesswork).
Here’s what’s inside:
The three metrics that reveal if you’re over- or under-sending
A step-by-step cadence optimization plan
A quick 15-minute audit you can run today
Fresh lifecycle quick hits to explore this week
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Finding your perfect email cadence without the guesswork
Deep Dive
Picture this: you’ve been sending your newsletter twice weekly for months, but engagement keeps dipping. You worry you’re emailing too often, yet scaling back might cost you revenue.
Meanwhile, your competitors seem to be everywhere: some sending daily, others monthly. Who’s right?
I faced the same dilemma running a product newsletter. Our 3x-per-week schedule felt wrong but I had no system to test alternatives.
Once I applied a data-driven approach, everything changed. Engagement rose by 19%, unsubscribes dropped, and revenue per email increased - even though we sent fewer campaigns.
Let’s unpack how to find your cadence with confidence.
Why email frequency feels like guesswork
Most of us choose send cadence based on:
What feels “reasonable”
What others in our industry do
What tools default to
What leadership prefers
But none of these reflect what your audience actually wants.
That’s how we end up over-sending (causing fatigue) or under-sending (leaving revenue untapped).
The three signals that reveal your optimal cadence
1. Engagement trajectory over time
Don’t just track open or click rates, look at how engagement changes the more you send.
Healthy pattern: Engagement stays steady or improves
Over-saturation: Engagement drops with each additional email
Under-communication: High engagement despite low send frequency
If your engagement consistently declines with each extra weekly email, you’re probably over-communicating.
Tip: If your analytics platform doesn’t break down engagement by frequency, ask your BI team for a quick SQL query - the insight is worth it.
2. Unsubscribe patterns
Timing says everything:
Frequency fatigue: Unsubscribes spike right after sends
Content fatigue: Unsubs happen regardless of timing (content issue)
Under-engagement: Low unsubs and low engagement (audience ignoring, not leaving)
When I mapped ours, unsubscribes peaked on Fridays; our third weekly send. That was the signal we’d crossed the threshold.
3. Revenue patterns by send frequency
Measure revenue per subscriber, not just total revenue.
Sweet spot: Increases with more sends until it plateaus
Diminishing returns: Falls with each extra send
Untapped potential: Steady or growing = safe to increase
Your leadership might say, “Send more, it makes more.” True! but only some users are driving that gain. The rest might be tuning out.
Test frequency increases on small, active segments first.
Your step-by-step cadence optimization plan
Step 1: Establish your baseline
Document your current state:
Avg. open and click rates
Unsubscribe rate
Revenue per email sent
Engagement by send sequence (first vs. second vs. third email)
This gives you a reference point before testing changes.
Step 2: Survey your audience
Ask 10–15% of your engaged subscribers:
How often would you like to hear from us?
Do we email too often, too little, or just right?
What type of content would you prefer more or less of?
Keep it to 3-4 questions. You’ll get clarity fast.
Step 3: Test frequency segments
Split your audience into groups:
Control (current frequency)
Group A (+1 send/week or +4/month)
Group B (–1 send/week or –4/month)
Run it for 4–6 weeks. I do agree, that testing frequency isn’t straightforward. And depending on the ESP you use, might be too complicated or impossible.
The other option is to do a pre-post analysis, rather than an A/B test.
Step 4: Measure more than clicks
Track:
Revenue per subscriber
Unsubscribe rate
Spam complaints
Long-term engagement
In my test, higher frequency slightly lowered open rates, but total revenue grew. That’s success.
Beyond frequency: Cadence patterns that matter
Your send rhythm also matters as much as volume:
Consistency: Regular days/times build anticipation
Context: B2B content performs differently on weekends
Sequence: How your messages build across the week
Quick cadence audit
Check your last 4 weeks: How many sends per week on average?
Look for engagement drop-off by email number.
Check unsubscribe timing.
Calculate revenue per email and per subscriber.
Ask your most engaged users what they prefer.
This simple check often reveals if you’re over- or under-sending without needing a full test.
Lifecycle quick hits
Google Postmaster data gap: Validity’s report shows only 58% of brands actively monitor Google Postmaster data — despite it being one of the strongest deliverability indicators.
Braze personalization audit tip: If your message personalization fails silently, use Liquid fallback text (“default copy”) to prevent empty fields from breaking your content.
Hi {{ ${first_name} | default: 'Valued User' }}, thanks for using the App!Scientific Research: The optimal email marketing frequency
Email cadence isn’t about sending more or less; it’s about sending right.
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