Email Campaign Frequency Fatigue Checker
Enter your planned email sending frequency and recent engagement to see if your audience is burning out, plus get a safe frequency cap and clear next steps.
How to Use Email Campaign Frequency Fatigue Checker Effectively?
What you will need (1 minute):
- Planned weekly emails (average per subscriber next month).
- Average unsubscribe % and open % from your last 5 sends.
- Optional: list size, complaint %, bounce %, recent frequency change, % of new subscribers, open-rate trend.
Quick start (step-by-step):
- Set Emails/week with the slider.
- Enter Unsub % (e.g., 0.2) and Open % (e.g., 28).
- Pick Targeting (Batch/Basic/High) and Content Mix (Promo/Balanced/Value).
- (Optional) Add advanced inputs for a sharper read.
- Click Calculate Fatigue Risk.
Understanding the output:
- Risk score & band: Green (0–39), Yellow (40–69), Red (70–100).
- Recommended cap: Safe weekly/monthly send limits for the next 30 days.
- Key signals & component scores: See how frequency, unsub, opens, complaints and bounces shape the result.
- Formulas & assumptions: Transparent math and thresholds so you can explain decisions.
Practical tips:
- High risk + high frequency → reduce cadence first, then improve targeting and content value.
- Use segmentation and value-heavy content to raise tolerance safely.
- Watch for complaint ≥ 0.30% or unsub ≥ 1.0%: these trigger immediate reductions.
- Re-check risk after 3–5 sends or any cadence change.
Example:
If you plan 4 emails/week and see 0.20% unsub and 28% opens with basic segmentation, the tool might recommend a cap near 4.2/week (≈ 18/month) with a Green score if other signals are healthy.
How Email Campaign Frequency Fatigue Checker is different from Email Frequency Optimization Calculator?
Email Campaign Frequency Fatigue Checker is a risk-first, safety tool designed to protect list health and deliverability in the near term. It evaluates whether your planned cadence could burn out subscribers by analyzing signals such as unsubscribe %, spam complaints, opens, segmentation quality, content mix, recent frequency changes, the share of new subscribers, and (optionally) list size.
It then compares your planned monthly volume to a derived tolerance threshold (T) and returns a Green/Yellow/Red risk score with a safe frequency cap (per week and month) plus actionable next steps.
In contrast, the Email Frequency Optimization calculator is a growth tool that seeks the weekly cadence that maximizes total reads/clicks/revenue by modeling the curve of outcome = frequency × per-send rate (from historical data or split tests) and recommending the peak.
In short: the Fatigue Checker sets guardrails to prevent audience burnout; the Optimization Calculator presses for the highest output within those guardrails.
Key differences at a glance:
- Primary question: Fatigue Checker address the question “Are we over-mailing and risking burnout now?” vs. Optimization, address “What cadence yields the most total outcomes?”
- Objective: Fatigue minimizes risk (unsubs, complaints, engagement decay); Optimization maximizes results (reads/clicks/revenue).
- Inputs:
- Fatigue: planned emails/week; avg unsubscribe % and open % (last 5 sends); segmentation level; content mix; advanced — complaint %, bounce %, recent frequency change, % new subscribers, open-trend; optional list size.
- Optimization: response-vs-frequency data (historical or A/B splits), optionally revenue per send to locate the peak.
- Method/Math:
- Fatigue: weighted risk scoring + hard safety rules; compares monthly send rate to a tolerance T derived from targeting & content; outputs a cap.
- Optimization: curve fitting or controlled tests to find the peak of frequency × rate; outputs a best-frequency estimate.
- Time horizon: Fatigue = next 30 days (operational safety); Optimization = 8–12+ weeks (testing toward growth).
- Outputs: Fatigue returns a risk band/score, safe frequency cap (week & month), key drivers, formulas, and watch-items; Optimization returns a “sweet spot” frequency and expected impact.
- Risk posture: Fatigue is conservative and protective (prevents list damage/inbox issues); Optimization is assertive (pushes toward maximum results).
- Workflow: Use Fatigue Checker first to set the guardrails; if risk is Green or low Yellow, use Optimization to climb toward the peak without crossing the safe cap.
