A marketing agency uses your email platform to send campaigns for their clients. One of their clients (a bakery) reports that their email open rates dropped 50% this week. The agency contacts your support: "One of our clients is seeing low open rates. Can you look into it?"

You need to troubleshoot, but you can't talk to the bakery directly (the agency is your customer, not the bakery). The agency may or may not be able to provide the technical details you need. And the agency is under pressure from their client, so your response time affects the agency's reputation with their client, not just the agency's patience.

Agency support is a game of telephone with real money at stake.

The Telephone Problem

When the end client has a problem, the information passes through two translations:

End client to agency: "Our emails aren't working." The agency may or may not probe for details. They're marketers, not engineers. They might ask "what do you mean by not working?" or they might just forward the complaint to you.

Agency to your support: "Client seeing low open rates on their last campaign." This is a vague description of a potentially specific problem. Low open rates could mean a deliverability issue, a list quality issue, a subject line issue, or a sending infrastructure issue.

Your support agent now has to debug the problem through the agency, who has to relay questions to the client, who may take a day to respond. A simple investigation that would take 15 minutes with direct access takes a week through the relay.

Give Agencies Admin Access

The most impactful change for agency support: give the agency enough access to troubleshoot common issues themselves.

A dashboard where the agency can see their clients' accounts, metrics, and logs reduces the need for them to contact you for diagnostic information. "Why are open rates low?" becomes something the agency can investigate themselves by checking deliverability scores, bounce rates, and sending reputation.

Most agency-focused platforms (and many white-label SaaS products) offer this through multi-tenant admin panels. The agency sees all their clients' data. They handle tier-1 support themselves. They only escalate to you for problems beyond their access or expertise.

Supp can help here by classifying the agency's incoming support messages and routing them to the right team. "Deliverability issue" goes to your infrastructure team. "Feature question" gets an auto-response. "Billing inquiry" goes to finance.

The SLA Compression

Agencies have SLAs with their clients. Your SLA with the agency needs to be tighter than theirs with their client, because the agency needs time to relay the resolution.

If the agency promises their client a 4-hour response, your SLA to the agency should be 2 hours. If the agency promises 24-hour resolution, your SLA should be 12 hours. The buffer accounts for the relay time.

This means agency accounts need priority routing. A 200-client agency is worth 200x a single end user in revenue and support complexity. Treat them accordingly.

White-Label Considerations

Many agencies white-label your product. Their clients don't know your company exists. The emails come from the agency's domain. The platform shows the agency's branding.

When something breaks, the end client blames the agency, not you. The agency's reputation is at stake. This creates urgency that doesn't exist in direct B2C support.

Your support needs to be aware of white-label contexts. When an agency says "this is urgent, our client is threatening to leave," believe them. The agency's churn creates a cascade: they lose the client, the client loses the product, and you lose the agency (or at least, their trust).

Shared Slack Channels

The most effective support model for high-value agency accounts: a shared Slack channel between your team and the agency.

The agency posts issues in real time. Your team responds. Conversations stay in context. There's no ticket overhead. Both sides can see the full history.

This doesn't scale to 500 agency accounts. But for your top 10 to 20 agencies (who probably represent 60 to 80% of your agency revenue), dedicated Slack channels provide the speed and access that traditional support can't match.

For the long tail of smaller agencies, standard support channels with priority routing work fine. AI classification ensures their messages get categorized quickly, and the agency-specific intents (client issue, bulk operation, white-label question) get routed to agents who understand the agency context.

The Training Gap

Your support agents need to understand the agency model. A ticket from an agency isn't the same as a ticket from a direct user. The agency is under pressure from their client. They may need to CC their client on the resolution email. They may need help explaining the issue to a non-technical stakeholder.

Train agents to:

Ask clarifying questions efficiently. Don't rely on the agency to know the technical details. Ask for account IDs, campaign IDs, timestamps, and error messages. Give the agency a checklist of what to gather from their client.

Communicate in a way the agency can relay. Your response may be forwarded directly to the end client. Write it so a non-technical person can understand it. "The email sending was delayed due to a queue backup. All messages have now been delivered." Not "The MTA encountered a resource exhaustion condition on the outbound SMTP relay."

Respect the relationship. The agency chose your product for their business. They staked their reputation on it. When something goes wrong, they're embarrassed in front of their client. Acknowledge that. "I know this reflects on your relationship with your client, and I want to get this resolved as quickly as possible."

Agency support is harder than direct support. But agencies that feel well-supported become your most loyal, highest-value customers. And they bring their entire client portfolio with them.