KoltrixSpam, abuse and junk in the support queue: keeping it clean
A checklist for separating vendor pitches, SEO spam, signups, bounces and abusive senders from real support mail, with rules, blocking and a review routine.
On this page(11 sections)
- The checklist
- Know your junk types
- Route junk out of the main view
- Unsubscribe from what you signed up for
- Rules versus AI versus filters
- Block deliberately, not reflexively
- Have a policy for abusive messages
- Review the junk piles on a schedule
- Keep notification mail off the support address
- Watch for phishing aimed at support
- Bottom line
Publish a support address anywhere and it starts collecting mail that isn't support: link-building offers, "quick question about your website", newsletter confirmations, bounce notices, and occasionally someone who just wants to yell. Each one takes a few seconds, and those seconds add up to a queue where real customers wait behind junk.
This checklist covers how to sort the non-support mail out, which tools to use for each type, and how to make sure nothing real gets thrown away in the process.
The checklist
- Know the junk types that reach your queue
- Route each type somewhere other than the main view
- Unsubscribe from what you signed up for
- Use rules for predictable senders, AI or filters for the rest
- Block only for repeat or abusive senders
- Have a policy for abusive messages from real customers
- Review the junk piles on a schedule
- Keep notification mail off the support address
Know your junk types
Not all junk is the same, and each type needs different handling.
| Type | Example | Risk of hiding something real | Handling |
|---|---|---|---|
| Vendor and agency pitches | "We can 10x your leads", design or dev outsourcing | Low, occasionally a real partner | Separate view, quick scan |
| SEO and link spam | Guest post offers, backlink requests | Very low | Filter or block repeat senders |
| Newsletters and signups | Tools your team signed up for with support@ | None | Unsubscribe or move to another address |
| Automated notifications | Bounces, delivery reports, tool alerts | Medium (some bounces matter) | Label and review |
| Phishing | Fake invoices, fake login alerts | Low but dangerous | Report, delete, warn the team |
| Abusive senders | Harassment, threats, repeated hostility | Varies; may be a real customer | Policy-driven, see below |
Route junk out of the main view
The goal isn't to delete junk instantly. It's to get it out of the place where your team works, so customer mail stands out.
Most email setups give you three tools:
- Rules for predictable senders: a known newsletter, a specific tool's notifications, an address that always sends the same pitch.
- Category sorting for patterns that are hard to describe with rules, such as first-time senders pitching services.
- Spam filtering for outright spam and phishing.
In Koltrix, AI sorts incoming mail into Primary, Other, Cold pitches, Newsletters and Updates, so vendor pitches and newsletters land outside Primary without anyone writing a rule. Labels and auto-label rules handle the specific senders you want to treat consistently.
Unsubscribe from what you signed up for
A surprising amount of support-queue noise is self-inflicted: someone used support@ to sign up for a webinar, a tool trial, or an industry newsletter.
Once a quarter:
- Search the support address for messages with unsubscribe links.
- Unsubscribe from anything nobody reads.
- Move anything someone does read to a personal or team address that isn't customer-facing.
Make it a rule: the support address is never used to sign up for things.
Rules versus AI versus filters
| Situation | Best tool |
|---|---|
| Same sender, same kind of message, every time | Rule |
| Many different senders, similar intent (pitches) | AI category sorting |
| Obvious spam, phishing, malware | Spam filter |
| A sender who keeps coming back after you've ignored them | Block |
Use rules sparingly and name them clearly, so whoever maintains them later understands why each exists.
Block deliberately, not reflexively
Blocking is permanent and invisible: if you block a domain and a real customer later writes from it, you'll never know. Reserve blocking for:
- Senders who keep pitching after a clear "no thanks".
- Spam domains that rotate addresses but keep the same domain.
- Abusive senders, after following your policy.
Avoid blocking entire free webmail domains or broad patterns. Many real customers write from personal addresses.
Have a policy for abusive messages
Sometimes the hostile email is from a paying customer. That's a support problem, not a spam problem, and it deserves a written policy so individual agents don't have to make judgment calls alone.
A simple policy:
- Frustration is not abuse. Angry, blunt, even rude messages get a normal, calm reply.
- Abuse is personal attacks, threats, slurs, or harassment. These get escalated to a lead.
- The lead replies once, stating that the team will help but won't continue the conversation in that tone.
- Repeat abuse can lead to ending the support relationship, decided by a lead or founder, never by the agent alone.
- Threats of harm are saved and reported according to your company's process.
Agents should never be expected to absorb abuse to protect a metric.
Review the junk piles on a schedule
Any sorting system will occasionally put something real in the wrong pile. The fix isn't to stop sorting. It's to look.
A light routine:
- Daily: a 30-second scroll through the cold-pitch and other low-priority views, looking only at sender names and subjects.
- Weekly: check automated notifications for bounces on emails you sent to customers. A bounce means a customer didn't get your reply.
- Monthly: look at what your rules caught and delete any rule that no longer matches anything.
When you find real mail in the wrong place, move it and fix the cause: a rule that's too broad, or a sender pattern to add as an exception.
Keep notification mail off the support address
Tool notifications (error alerts, deploy notices, payment processor emails, analytics reports) shouldn't go to the address customers write to. Send them to a separate internal address or straight to the people who need them. Your support queue should contain, as nearly as possible, only humans who need help.
Watch for phishing aimed at support
Support addresses are attractive phishing targets because support agents are trained to be helpful. Common patterns include fake invoices with attachments, "your account will be suspended" messages from lookalike domains, and requests to change account ownership. Treat unexpected attachments and urgent account-change requests with suspicion, and verify through a channel you trust.
Bottom line
- Identify the types of junk reaching your queue and handle each one differently.
- Move junk out of the main view with rules, AI sorting and filters, and block only repeat or abusive senders.
- Never use the support address to sign up for things, and send tool notifications elsewhere.
- Write an abuse policy so agents don't have to decide alone.
- Scan the low-priority piles regularly; that's what makes aggressive sorting safe.
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