Deliverability Health Check
Audit your email deliverability by analyzing bounce rates, open rate anomalies, and sending patterns across reps and sequences to catch domain reputation issues early.
Instructions
When a user wants to check deliverability health, query the Amplemarket analytics engine for bounce and engagement data, classify the overall health status, and flag any reps or sequences that pose a risk.
Steps
Clarify scope and concerns. Ask the user:
- "What timeframe would you like to check? (default: last 30 days)"
- "Any specific concerns? For example: high bounces, low open rates, or suspected spam folder placement."
If the user does not specify, default to the last 30 days and run a comprehensive check.
Submit analytics questions by calling mcp__claude_ai_Amplemarket__ask_analytics for each of the following (adjust the timeframe accordingly):
- "What is the bounce rate by rep in the last [timeframe]?"
- "What is the bounce rate by sequence in the last [timeframe]?"
- "What is the overall bounce rate in the last [timeframe]?"
- "What are the open rates by rep in the last [timeframe]?"
- "How many emails were sent vs delivered in the last [timeframe]?"
Store each returned request_id for polling.
Wait approximately 20 seconds, then call mcp__claude_ai_Amplemarket__get_analytics_result for each request_id to retrieve the answers.
Handle pending results. If any result is still processing, wait another 20 seconds and retry. Repeat up to 3 total attempts per request. Proceed with available data if some results remain unavailable.
Compile the deliverability health report with three components:
Overall Health Score:
- Healthy (below 2% bounce rate): Deliverability is in good shape. No immediate action required.
- Warning (2-5% bounce rate): Some issues need attention. Investigate the sources of bounces.
- Critical (above 5% bounce rate): Immediate action required. Domain reputation is at risk.
Per-Rep Breakdown:
| Rep |
Emails Sent |
Bounce Rate |
Open Rate |
Health Status |
Per-Sequence Breakdown:
| Sequence |
Emails Sent |
Bounce Rate |
Open Rate |
Health Status |
Flag critical issues with specific, actionable callouts:
- Any rep with a bounce rate above 5%: "Marcus has a 6.1% bounce rate. This can damage your sending domain. Investigate his lead sources immediately."
- Any sequence with a bounce rate above 3%: "Cold Outreach v3 has an 8% bounce rate vs. the 1.5% team average. The lead list feeding this sequence likely contains stale or invalid emails."
- Any rep or sequence with an open rate below 20%: "An open rate of 15% may indicate emails are landing in spam folders rather than inboxes. Review the sending domain, subject lines, and email content for spam triggers."
Identify patterns and root causes. Connect the dots between metrics:
- High bounce + specific sequence = lead list quality issue
- High bounce + specific rep = that rep may be importing unvalidated lists
- Low open rate across all reps = potential domain reputation problem
- Low open rate for one rep rep's email account may have deliverability issues
Generate recommendations based on the health classification:
Critical actions:
- "Pause [sequence/rep] immediately until the bounce rate issue is resolved."
- "Run all lead lists through email validation before importing."
- "Check your sending domain's reputation on Google Postmaster Tools and other monitoring services."
Warning actions:
- "Enable email validation on future lead list imports to catch invalid addresses before sending."
- "Review the lead sources for sequences with above-average bounce rates."
- "Monitor weekly. If bounce rates continue to climb, escalate to critical."
Healthy maintenance:
- "Deliverability looks good. Keep monitoring monthly to catch issues early."
- "Continue validating lead lists before import to maintain this healthy status."
Offer next steps: "Want me to check which lead lists are feeding the high-bounce sequences?" or "Should I run a full team audit to compare deliverability across all reps?"
Important Notes
- Submit all five analytics questions in parallel to minimize wait time.
- Bounce rate is the primary health indicator. Open rate is a secondary signal because privacy features (like Apple Mail Privacy Protection) can inflate open rates, making them less reliable as a standalone metric.
- A bounce rate above 5% is an urgent issue. Always flag this prominently, even if the user asked about something else.
- Very low send volume (under 100 emails) can produce misleading bounce rates. A single bounce out of 20 emails is a 5% bounce rate but may not indicate a real problem. Always consider sample size when classifying health.
- If the user mentions spam complaints, note that Amplemarket analytics may not track spam complaint rates directly. Suggest checking Google Postmaster Tools or similar services for complaint data.
Examples
Example 1: Full Deliverability Health Check
User prompt: "Check my deliverability. I want to make sure we are not having any issues."
What the skill does:
- Confirms the 30-day default timeframe.
- Submits five analytics questions via
mcp__claude_ai_Amplemarket__ask_analytics.
- Waits 20 seconds, then polls each
request_id with mcp__claude_ai_Amplemarket__get_analytics_result.
- Compiles the health report with per-rep and per-sequence breakdowns.
Example output:
DELIVERABILITY HEALTH CHECK - Last 30 Days
Overall Health: WARNING (2.8% bounce rate)
Your overall bounce rate of 2.8% is above the healthy threshold of 2%. While not yet critical, this needs attention to prevent domain reputation damage.
Summary
| Metric |
Value |
| Total Emails Sent |
11,240 |
| Total Delivered |
10,925 |
| Total Bounced |
315 |
| Overall Bounce Rate |
2.8% |
| Overall Open Rate |
51.4% |
Per-Rep Breakdown
| Rep |
Emails Sent |
Bounce Rate |
Open Rate |
Status |
| Sarah Chen |
1,820 |
1.1% |
58.2% |
Healthy |
| James Wilson |
2,650 |
1.8% |
54.1% |
Healthy |
| Maria Lopez |
2,410 |
2.0% |
51.6% |
Healthy |
| Alex Patel |
2,200 |
1.9% |
49.8% |
Healthy |
| David Kim |
1,950 |
2.4% |
50.3% |
Warning |
| Marcus Brown |
1,420 |
6.1% |
38.4% |
Critical |
Per-Sequence Breakdown
| Sequence |
Emails Sent |
Bounce Rate |
Open Rate |
Status |
| Q1 Enterprise Outreach |
2,800 |
1.2% |
56.2% |
Healthy |
| VP Sales - Pain Point v2 |
2,100 |
1.5% |
52.1% |
Healthy |
| Mid-Market SaaS Play |
2,400 |
1.8% |
49.3% |
Healthy |
| Inbound Follow-Up |
1,200 |
0.4% |
61.8% |
Healthy |
| Cold Outreach v3 |
1,540 |
2.2% |
42.1% |
Warning |
| New Logo Prospecting |
1,200 |
8.0% |
32.1% |
Critical |
Critical Issues
- Marcus Brown - 6.1% bounce rate. This is well above the 2% healthy threshold. His bounce rate alone is pulling the team average into warning territory. His lead sources need immediate review. His low open rate (38.4%) may also indicate some emails are landing in spam.
- New Logo Prospecting sequence - 8.0% bounce rate. This is the primary source of bounce issues. The lead list feeding this sequence likely contains a high percentage of invalid or outdated email addresses. Pause this sequence immediately and validate the email list before resuming.
Recommendations
- Pause the "New Logo Prospecting" sequence until the lead list is cleaned and validated.
- Review Marcus Brown's lead import process. He may be adding contacts without email validation.
- Monitor David Kim's bounce rate (2.4%). It is borderline and could worsen.
- The rest of the team and sequences are healthy. No action needed for them.
Example 2: Investigating a Specific Rep
User prompt: "Marcus has been getting a lot of bounces. Can you check his deliverability?"
What the skill does:
- Submits analytics questions focused on Marcus's sending activity.
- Polls results and presents a detailed individual breakdown.
Example output:
DELIVERABILITY REPORT - Marcus Brown (Last 30 Days)
| Metric |
Marcus |
Team Avg |
| Emails Sent |
1,420 |
2,240 |
| Bounce Rate |
6.1% |
2.8% |
| Open Rate |
38.4% |
51.4% |
Marcus's bounce rate is 3x the team average. Combined with a below-average open rate, this suggests two issues:
- Lead list quality - many email addresses are invalid or outdated.
- Possible spam folder placement - the low open rate may indicate mailbox providers are flagging his sends.
Recommended actions:
- Immediately audit Marcus's recent lead imports for email validity.
- Pause any sequences Marcus is running until bounce rate is under control.
- Check if Marcus is using a different sending domain or email account that may have reputation issues.
- Run his upcoming lead lists through email validation before adding them to sequences.
Example 3: Clean Bill of Health
User prompt: "Quick deliverability check - are we in good shape?"
What the skill does:
- Runs the standard five analytics queries for the last 30 days.
- Finds all metrics within healthy thresholds.
- Returns a brief, positive report.
Example output:
DELIVERABILITY HEALTH CHECK - Last 30 Days
Overall Health: HEALTHY (1.4% bounce rate)
Everything looks good. Your bounce rate is well below the 2% threshold, and open rates are healthy across all reps and sequences.
| Metric |
Value |
| Overall Bounce Rate |
1.4% |
| Overall Open Rate |
53.2% |
| Reps Above 2% Bounce |
0 out of 6 |
| Sequences Above 3% Bounce |
0 out of 5 |
No action needed. Continue monitoring monthly to maintain this healthy status. Keep validating lead lists before import to prevent future issues.
Troubleshooting
| Problem |
Solution |
| Analytics returns no bounce data |
Bounce tracking may not be enabled or data may not be available for the requested period. Check if the analytics engine provides bounce data at all by asking a broader question: "What are the bounce statistics for the last 90 days?" If still unavailable, use open rate as a proxy signal. Very low open rates (below 20%) can indicate deliverability problems even without bounce data. |
| Open rate seems unreliable or inflated |
Apple Mail Privacy Protection and similar features can pre-load tracking pixels, inflating open rates. If open rates appear unusually high (above 80%), note this caveat: "Open rates may be inflated by email privacy features. Bounce rate is a more reliable deliverability indicator." Focus recommendations on bounce rate rather than open rate. |
| Very low send volume skews bounce rates |
A rep or sequence with fewer than 100 emails may show a misleadingly high bounce rate from just a few bounces. Flag this: "Marcus sent only 30 emails with 2 bounces (6.7% rate). This sample is too small to confirm a deliverability problem. Monitor over the next week as volume increases." Require at least 100 sends before classifying health status. |
| Data not available for the requested timeframe |
Try a broader timeframe. If "last 7 days" returns nothing, expand to 30 days. The analytics engine may aggregate data at different intervals. |
| Partial results (some queries succeed, others fail) |
Present the available data and note what is missing. For example: "Per-rep bounce rates are available but per-sequence data is still processing. Here is the rep-level analysis." Offer to retry failed queries. |
| User asks about spam complaint rates |
Amplemarket analytics may not track spam complaints directly. Suggest: "Spam complaint data is typically available through Google Postmaster Tools, Microsoft SNDS, or your email service provider's dashboard. I can analyze bounce rates and open rates from Amplemarket as proxy indicators." |
| User wants to compare deliverability across time periods |
Submit analytics questions for both periods. For example: "What is the bounce rate in the last 30 days?" and "What is the bounce rate from 30-60 days ago?" Present a side-by-side comparison to show whether deliverability is improving or declining. |
1---2name: deliverability-health-check3description: Audit your email deliverability by analyzing bounce rates, open rate anomalies, and sending patterns across reps and sequences to catch domain reputation issues early.4---5
6# Deliverability Health Check
7
8Audit your email deliverability by analyzing bounce rates, open rate anomalies, and sending patterns across reps and sequences to catch domain reputation issues early.
9
10## Instructions
11
12When a user wants to check deliverability health, query the Amplemarket analytics engine for bounce and engagement data, classify the overall health status, and flag any reps or sequences that pose a risk.
13
14### Steps
15
161. **Clarify scope and concerns.** Ask the user:
17 - "What timeframe would you like to check? (default: last 30 days)"
18 - "Any specific concerns? For example: high bounces, low open rates, or suspected spam folder placement."
19
20 If the user does not specify, default to the last 30 days and run a comprehensive check.
21
222. **Submit analytics questions** by calling `mcp__claude_ai_Amplemarket__ask_analytics` for each of the following (adjust the timeframe accordingly):
23 - "What is the bounce rate by rep in the last [timeframe]?"
24 - "What is the bounce rate by sequence in the last [timeframe]?"
25 - "What is the overall bounce rate in the last [timeframe]?"
26 - "What are the open rates by rep in the last [timeframe]?"
27 - "How many emails were sent vs delivered in the last [timeframe]?"
28
29 Store each returned `request_id` for polling.
30
313. **Wait approximately 20 seconds**, then call `mcp__claude_ai_Amplemarket__get_analytics_result` for each `request_id` to retrieve the answers.
324. **Handle pending results.** If any result is still processing, wait another 20 seconds and retry. Repeat up to 3 total attempts per request. Proceed with available data if some results remain unavailable.
335. **Compile the deliverability health report** with three components:
34
35 **Overall Health Score:**
36
37 - Healthy (below 2% bounce rate): Deliverability is in good shape. No immediate action required.
38 - Warning (2-5% bounce rate): Some issues need attention. Investigate the sources of bounces.
39 - Critical (above 5% bounce rate): Immediate action required. Domain reputation is at risk.
40
41 **Per-Rep Breakdown:**
42
43 | Rep | Emails Sent | Bounce Rate | Open Rate | Health Status |
44 | --- | --- | --- | --- | --- |
45
46 **Per-Sequence Breakdown:**
47
48 | Sequence | Emails Sent | Bounce Rate | Open Rate | Health Status |
49 | --- | --- | --- | --- | --- |
506. **Flag critical issues** with specific, actionable callouts:
51 - Any rep with a bounce rate above 5%: "Marcus has a 6.1% bounce rate. This can damage your sending domain. Investigate his lead sources immediately."
52 - Any sequence with a bounce rate above 3%: "Cold Outreach v3 has an 8% bounce rate vs. the 1.5% team average. The lead list feeding this sequence likely contains stale or invalid emails."
53 - Any rep or sequence with an open rate below 20%: "An open rate of 15% may indicate emails are landing in spam folders rather than inboxes. Review the sending domain, subject lines, and email content for spam triggers."
547. **Identify patterns and root causes.** Connect the dots between metrics:
55 - High bounce + specific sequence = lead list quality issue
56 - High bounce + specific rep = that rep may be importing unvalidated lists
57 - Low open rate across all reps = potential domain reputation problem
58 - Low open rate for one rep only = that rep's email account may have deliverability issues
598. **Generate recommendations** based on the health classification:
60
61 **Critical actions:**
62
63 - "Pause [sequence/rep] immediately until the bounce rate issue is resolved."
64 - "Run all lead lists through email validation before importing."
65 - "Check your sending domain's reputation on Google Postmaster Tools and other monitoring services."
66
67 **Warning actions:**
68
69 - "Enable email validation on future lead list imports to catch invalid addresses before sending."
70 - "Review the lead sources for sequences with above-average bounce rates."
71 - "Monitor weekly. If bounce rates continue to climb, escalate to critical."
72
73 **Healthy maintenance:**
74
75 - "Deliverability looks good. Keep monitoring monthly to catch issues early."
76 - "Continue validating lead lists before import to maintain this healthy status."
77
78 Offer next steps: "Want me to check which lead lists are feeding the high-bounce sequences?" or "Should I run a full team audit to compare deliverability across all reps?"
79
80
81### Important Notes
82
83- Submit all five analytics questions in parallel to minimize wait time.
84- Bounce rate is the primary health indicator. Open rate is a secondary signal because privacy features (like Apple Mail Privacy Protection) can inflate open rates, making them less reliable as a standalone metric.
85- A bounce rate above 5% is an urgent issue. Always flag this prominently, even if the user asked about something else.
86- Very low send volume (under 100 emails) can produce misleading bounce rates. A single bounce out of 20 emails is a 5% bounce rate but may not indicate a real problem. Always consider sample size when classifying health.
87- If the user mentions spam complaints, note that Amplemarket analytics may not track spam complaint rates directly. Suggest checking Google Postmaster Tools or similar services for complaint data.
88
89## Examples
90
91### Example 1: Full Deliverability Health Check
92
93**User prompt:** "Check my deliverability. I want to make sure we are not having any issues."
94
95**What the skill does:**
961. Confirms the 30-day default timeframe.
972. Submits five analytics questions via `mcp__claude_ai_Amplemarket__ask_analytics`.
983. Waits 20 seconds, then polls each `request_id` with `mcp__claude_ai_Amplemarket__get_analytics_result`.
994. Compiles the health report with per-rep and per-sequence breakdowns.
100
101**Example output:**
102
103**DELIVERABILITY HEALTH CHECK - Last 30 Days**
104
105**Overall Health: WARNING (2.8% bounce rate)**
106
107Your overall bounce rate of 2.8% is above the healthy threshold of 2%. While not yet critical, this needs attention to prevent domain reputation damage.
108
109**Summary**
110
111| Metric | Value |
112| --- | --- |
113| Total Emails Sent | 11,240 |
114| Total Delivered | 10,925 |
115| Total Bounced | 315 |
116| Overall Bounce Rate | 2.8% |
117| Overall Open Rate | 51.4% |
118
119**Per-Rep Breakdown**
120
121| Rep | Emails Sent | Bounce Rate | Open Rate | Status |
122| --- | --- | --- | --- | --- |
123| Sarah Chen | 1,820 | 1.1% | 58.2% | Healthy |
124| James Wilson | 2,650 | 1.8% | 54.1% | Healthy |
125| Maria Lopez | 2,410 | 2.0% | 51.6% | Healthy |
126| Alex Patel | 2,200 | 1.9% | 49.8% | Healthy |
127| David Kim | 1,950 | 2.4% | 50.3% | Warning |
128| Marcus Brown | 1,420 | 6.1% | 38.4% | Critical |
129
130**Per-Sequence Breakdown**
131
132| Sequence | Emails Sent | Bounce Rate | Open Rate | Status |
133| --- | --- | --- | --- | --- |
134| Q1 Enterprise Outreach | 2,800 | 1.2% | 56.2% | Healthy |
135| VP Sales - Pain Point v2 | 2,100 | 1.5% | 52.1% | Healthy |
136| Mid-Market SaaS Play | 2,400 | 1.8% | 49.3% | Healthy |
137| Inbound Follow-Up | 1,200 | 0.4% | 61.8% | Healthy |
138| Cold Outreach v3 | 1,540 | 2.2% | 42.1% | Warning |
139| New Logo Prospecting | 1,200 | 8.0% | 32.1% | Critical |
140
141**Critical Issues**
142
1431. **Marcus Brown - 6.1% bounce rate.** This is well above the 2% healthy threshold. His bounce rate alone is pulling the team average into warning territory. His lead sources need immediate review. His low open rate (38.4%) may also indicate some emails are landing in spam.
1442. **New Logo Prospecting sequence - 8.0% bounce rate.** This is the primary source of bounce issues. The lead list feeding this sequence likely contains a high percentage of invalid or outdated email addresses. Pause this sequence immediately and validate the email list before resuming.
145
146**Recommendations**
147- Pause the "New Logo Prospecting" sequence until the lead list is cleaned and validated.
148- Review Marcus Brown's lead import process. He may be adding contacts without email validation.
149- Monitor David Kim's bounce rate (2.4%). It is borderline and could worsen.
150- The rest of the team and sequences are healthy. No action needed for them.
151
152---
153
154### Example 2: Investigating a Specific Rep
155
156**User prompt:** "Marcus has been getting a lot of bounces. Can you check his deliverability?"
157
158**What the skill does:**
1591. Submits analytics questions focused on Marcus's sending activity.
1602. Polls results and presents a detailed individual breakdown.
161
162**Example output:**
163
164**DELIVERABILITY REPORT - Marcus Brown (Last 30 Days)**
165
166| Metric | Marcus | Team Avg |
167| --- | --- | --- |
168| Emails Sent | 1,420 | 2,240 |
169| Bounce Rate | 6.1% | 2.8% |
170| Open Rate | 38.4% | 51.4% |
171
172Marcus's bounce rate is 3x the team average. Combined with a below-average open rate, this suggests two issues:
1731. Lead list quality - many email addresses are invalid or outdated.
1742. Possible spam folder placement - the low open rate may indicate mailbox providers are flagging his sends.
175
176**Recommended actions:**
177- Immediately audit Marcus's recent lead imports for email validity.
178- Pause any sequences Marcus is running until bounce rate is under control.
179- Check if Marcus is using a different sending domain or email account that may have reputation issues.
180- Run his upcoming lead lists through email validation before adding them to sequences.
181
182---
183
184### Example 3: Clean Bill of Health
185
186**User prompt:** "Quick deliverability check - are we in good shape?"
187
188**What the skill does:**
1891. Runs the standard five analytics queries for the last 30 days.
1902. Finds all metrics within healthy thresholds.
1913. Returns a brief, positive report.
192
193**Example output:**
194
195**DELIVERABILITY HEALTH CHECK - Last 30 Days**
196
197**Overall Health: HEALTHY (1.4% bounce rate)**
198
199Everything looks good. Your bounce rate is well below the 2% threshold, and open rates are healthy across all reps and sequences.
200
201| Metric | Value |
202| --- | --- |
203| Overall Bounce Rate | 1.4% |
204| Overall Open Rate | 53.2% |
205| Reps Above 2% Bounce | 0 out of 6 |
206| Sequences Above 3% Bounce | 0 out of 5 |
207
208No action needed. Continue monitoring monthly to maintain this healthy status. Keep validating lead lists before import to prevent future issues.
209
210## Troubleshooting
211
212| Problem | Solution |
213| --- | --- |
214| Analytics returns no bounce data | Bounce tracking may not be enabled or data may not be available for the requested period. Check if the analytics engine provides bounce data at all by asking a broader question: "What are the bounce statistics for the last 90 days?" If still unavailable, use open rate as a proxy signal. Very low open rates (below 20%) can indicate deliverability problems even without bounce data. |
215| Open rate seems unreliable or inflated | Apple Mail Privacy Protection and similar features can pre-load tracking pixels, inflating open rates. If open rates appear unusually high (above 80%), note this caveat: "Open rates may be inflated by email privacy features. Bounce rate is a more reliable deliverability indicator." Focus recommendations on bounce rate rather than open rate. |
216| Very low send volume skews bounce rates | A rep or sequence with fewer than 100 emails may show a misleadingly high bounce rate from just a few bounces. Flag this: "Marcus sent only 30 emails with 2 bounces (6.7% rate). This sample is too small to confirm a deliverability problem. Monitor over the next week as volume increases." Require at least 100 sends before classifying health status. |
217| Data not available for the requested timeframe | Try a broader timeframe. If "last 7 days" returns nothing, expand to 30 days. The analytics engine may aggregate data at different intervals. |
218| Partial results (some queries succeed, others fail) | Present the available data and note what is missing. For example: "Per-rep bounce rates are available but per-sequence data is still processing. Here is the rep-level analysis." Offer to retry failed queries. |
219| User asks about spam complaint rates | Amplemarket analytics may not track spam complaints directly. Suggest: "Spam complaint data is typically available through Google Postmaster Tools, Microsoft SNDS, or your email service provider's dashboard. I can analyze bounce rates and open rates from Amplemarket as proxy indicators." |
220| User wants to compare deliverability across time periods | Submit analytics questions for both periods. For example: "What is the bounce rate in the last 30 days?" and "What is the bounce rate from 30-60 days ago?" Present a side-by-side comparison to show whether deliverability is improving or declining. |
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