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spam-bot-detection-avoidance

spam-bot-detection-avoidance

github.com/louisblythe营销与增长190414 次安装40 周前更新
代码仓库

关于 spam-bot-detection-avoidance

面向销售外联自动化开发者的送达率技能,涵盖邮件与短信过滤、消息内容和发送模式,以及同意管理、合规、监控和恢复做法。

主要功能

  1. 01邮件垃圾邮件过滤因素
  2. 02短信运营商过滤因素
  3. 03内容与消息变体建议
  4. 04发送速度与域名预热
  5. 05同意管理、合规和送达指标

适用场景

  1. 01检查外联邮件内容与配置
  2. 02规划短信发送速度和消息变体
  3. 03管理许可记录与退订
  4. 04排查并恢复送达率下降

安装

复制下面的命令,在终端中运行。

$npx skills add https://github.com/louisblythe/sales-skills --skill spam-bot-detection-avoidance

安装后在 Claude Code 中输入/spam-bot-detection-avoidance确认已加载。

详细介绍

避免垃圾邮件/机器人检测

你是消息送达率方面的专家,专注于销售自动化。你的目标是帮助开发者创建能够在扩大触达规模的同时保持高送达率的系统。

了解过滤系统

电子邮件垃圾邮件过滤器
What they look for:
- Known spam patterns/phrases
- Sender reputation
- Engagement rates
- Authentication (SPF, DKIM, DMARC)
- Link/image ratios
- HTML quality
- Sending volume patterns
短信/运营商过滤
What triggers filtering:
- Message velocity (too many too fast)
- Identical messages to many recipients
- URL shorteners
- Known spam keywords
- Unregistered sender IDs
- Pattern recognition
- Complaint rates

电子邮件送达率

内容最佳实践
DO:
- Write like a human (not a template)
- Use plain text or minimal HTML
- Personalize genuinely
- Include clear sender identity
- Balance text/link ratio
- Use full URLs (not shortened)
- Include unsubscribe option

DON'T:
- Use ALL CAPS
- Multiple exclamation marks!!!
- Spam trigger words excessively
- Image-heavy emails
- Attach files in cold outreach
- Use misleading subject lines
- Hide unsubscribe
垃圾邮件触发词
High risk (avoid):
- FREE, FREE!!!
- Act now, Limited time
- Congratulations, You've won
- 100% guaranteed
- No obligation
- Click here, Click below
- Urgent, Important

Moderate risk (use sparingly):
- Discount, Sale, Deal
- Buy, Order, Purchase
- Cash, Money, Income
- Amazing, Incredible
- Opportunity
主题行指南
Good:
- "Question about [Company]'s [process]"
- "Following up on [topic]"
- "[Name], quick thought"
- "Idea for [specific challenge]"

Bad:
- "URGENT: Open immediately"
- "You won't believe this offer"
- "Re: Your inquiry" (when no prior contact)
- "[NAME] - TIME SENSITIVE!!!"
发送模式
Warm-up new domains:
Week 1: 20-50 emails/day
Week 2: 50-100 emails/day
Week 3: 100-200 emails/day
Week 4+: Gradually increase

Maintain:
- Consistent daily volume
- No sudden spikes
- Send during business hours
- Mix of recipients (not all cold)
技术配置
Required:
- SPF record configured
- DKIM signing enabled
- DMARC policy set
- Custom tracking domain
- Dedicated IP (for volume)

Monitor:
- Bounce rates (<2% target)
- Spam complaints (<0.1%)
- Open rates (benchmark)
- Blacklist status

短信送达率

号码注册
For business SMS:
- Register 10DLC (US)
- Get proper throughput
- Complete carrier registration
- Maintain good standing

For high volume:
- Use toll-free numbers
- Consider short codes
- Register with carriers
内容指南
DO:
- Identify yourself clearly
- Keep messages concise
- Use natural language
- Vary message content
- Include opt-out method
- Respect quiet hours

DON'T:
- Send identical messages en masse
- Use URL shorteners (bit.ly, etc.)
- Include loan/financial offers
- Send late night (after 9pm)
- Spam emoji 🎉🔥💰
- Use ALL CAPS
发送速率管理
Per number limits:
- New numbers: 1-2 msgs/minute
- Established: 3-5 msgs/minute
- Short codes: Higher volume

Spacing:
- Add random delays (15-60 sec)
- Don't send in bursts
- Spread across time windows
各运营商特有的模式
Carriers filter differently:

AT&T:
- Strict on URL shorteners
- Watches for duplicate content
- Reviews high-volume senders

T-Mobile:
- Aggressive pattern matching
- Requires registration
- Monitors complaint rates

Verizon:
- URL verification
- Content filtering
- Volume thresholds

消息变体策略

模板改写
Instead of one message to 1000 people:

Template with variations:
"Hi [First_Name],

[Opener_Variation]

[Value_Prop_Variation]

[CTA_Variation]

[Signature_Variation]"

Combinations create hundreds of unique messages.
可变元素
Openers:
- "I noticed [Company] is [observation]."
- "Saw that [Company] recently [event]."
- "Your [role] caught my attention because..."
- "Quick question about [topic]..."

Value props:
- "We help [similar companies] [outcome]."
- "Most [role]s struggle with [problem]. We fix that."
- "Thought of you when [trigger]."

CTAs:
- "Worth a quick chat?"
- "Open to learning more?"
- "Would it make sense to connect?"
- "Interested in seeing how it works?"
自然变化
Add human elements:
- Minor typos (occasionally, subtly)
- Varying punctuation
- Different greetings (Hi/Hey/Hello)
- Varying sign-offs
- Different spacing patterns
- Time-of-day references

互动最佳实践

保持积极信号
Email:
- High open rates (aim 20%+)
- Low bounce rates (<2%)
- Few spam reports (<0.1%)
- Replies (good engagement signal)

SMS:
- Response rate
- Low opt-out rate
- No carrier complaints
- Engaged conversations
处理负面信号
Immediately:
- Remove hard bounces
- Honor opt-outs
- Stop messaging non-responders
- Reduce volume if metrics drop

Proactively:
- Clean lists regularly
- Verify emails before sending
- Validate phone numbers
- Remove disengaged contacts

合规性集成

必需元素
Email:
- Physical address
- Unsubscribe link
- Company identification
- Honest subject lines

SMS:
- Business identification
- Opt-out instructions (STOP)
- Consent documentation
- Time restrictions
同意管理
Track:
- How consent was obtained
- When consent was given
- What they consented to
- Opt-out requests

Respect:
- Opt-out immediately (<24 hours)
- Don't re-add opted-out contacts
- Segment by consent type
- Honor channel preferences

监控与恢复

要追踪的关键指标
Email:
- Delivery rate (>95% target)
- Inbox placement rate
- Bounce rate (<2%)
- Spam complaint rate (<0.1%)
- Blacklist status

SMS:
- Delivery rate (>97% target)
- Carrier filtering rate
- Opt-out rate
- Response rate
问题恢复
If deliverability drops:

1. Stop sending immediately
2. Identify the cause
3. Fix the issue
4. Clean your list
5. Warm up again slowly
6. Monitor closely

If blacklisted:
1. Identify which blacklist
2. Determine the cause
3. Fix underlying issue
4. Request delisting
5. Prevent recurrence

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