What should you consider in agency collaborations going forward?
By Matilda Rydow
Categories: Agencies & Partners, Organisation & Operating Model
Communication is critical, but the problem is when it replaces structure. In recent years many in‑house teams have grown and specialized, and the agency landscape has grown in the same direction. The result is often a mirror model where each internal function gets its own agency counterpart. It feels safe, but it tends to create duplicate work, more handoffs, and a huge flow of questions. When the Slack pipes are open and decisions happen in informal rooms, you get more noise than transparency, and silos deepen both internally and between you and the agency. Going forward it becomes even more important that the collaboration is designed, not just active. AI and more agent‑based ways of working increase output and tempo, but without an operating model you easily end up with two parallel systems, you optimize your human‑agent flows internally and the agency optimizes theirs externally, with different definitions, different dashboards, and different truths. That is when friction explodes. A core principle is that you must be extremely clear on why you are buying agency and what you are actually buying. It is not wrong to outsource a channel as a whole, but it requires certain things to be in place. Otherwise you are effectively buying activity and communication. In practice two models tend to work, in different ways: - Buy expertise, not volume. Often the best deal is bringing in an agency for what is hard to build quickly in‑house, deep platform expertise, advanced analysis, experiment design, setup and structure, creative edge, or the ability to challenge a vendor’s best practice and find unconventional paths. Then a smaller internal team can run the day‑to‑day while the agency becomes your edge and quality boost. - Outsource a full function, but build minimal in‑house first. Outsourcing a full channel can work very well if you have goals, measurement logic, decision paths, and data in place, and if the agency is efficient enough to run without everything becoming a question back to you. A good way to avoid a bad buy is to first build a minimal internal base, someone who can set direction, understand trade‑offs, review output, and hold the whole together. Without that minimal internal engine, the agency easily becomes an external silo that produces a lot but where learning never lands with you. Regardless of model, these are the things that usually reduce noise and increase impact: - Set goals tied to the business with a breakdown everyone accepts. The agency should not deliver activity but contribute to outcomes. Translate business goals into a few steering metrics per area and be clear on what is secondary. - Agree on a measurement method and a source of truth. You need to align on what applies, MMM, incrementality or testing, or a combination, and which numbers count. Otherwise every meeting becomes a debate about which dashboard is right. - Build decision forums with discipline. Where decisions are made, who must be present, what gets documented, and what is the default when evidence is missing. Open Slack access without a decision chain often creates more rework, not more speed. - Ensure platform expertise and the right incentives. One of the main reasons to use a strong agency is their ability to go beyond vendor recommendations. That competence, understanding platforms deeply, seeing shortcuts, challenging best practice, and building an optimization engine that benefits you, becomes even more important when everything is packaged as click here or AI employees. - Design the ordering organization. Avoid the one‑to‑one mirror where each internal specialist owns one to three channels and has agencies for everything else. It burns communication hours, creates handoffs, and shifts energy from impact to sync. You get better leverage when the buyer role has broader scope, owns outcomes across multiple channels, and you combine in‑house and agency with clear interfaces. - Set guardrails and quality controls in the flow. With more automation you need clear constraints, budget rules, brand guidelines, approvals, QA, and stop conditions. Otherwise you get faster output but higher brand risk and more coordination when things need to be rolled back. Dashboards can help, but they do not solve the root problem if you and the agency still look at different metrics and hold different definitions. Structure shifts communication from a constant stream of questions to fewer, sharper discussions and decisions, and makes the agency the leverage it is meant to be.
What should you consider in agency collaborations going forward?
Communication is critical, but the problem is when it replaces structure. In recent years many in‑house teams have grown and specialized, and the agency landscape has grown in the same direction. The result is often a mirror model where each internal function gets its own agency counterpart. It feels safe, but it tends to create duplicate work, more handoffs, and a huge flow of questions. When the Slack pipes are open and decisions happen in informal rooms, you get more noise than transparency, and silos deepen both internally and between you and the agency.
Going forward it becomes even more important that the collaboration is designed, not just active. AI and more agent‑based ways of working increase output and tempo, but without an operating model you easily end up with two parallel systems, you optimize your human‑agent flows internally and the agency optimizes theirs externally, with different definitions, different dashboards, and different truths. That is when friction explodes.
A core principle is that you must be extremely clear on why you are buying agency and what you are actually buying. It is not wrong to outsource a channel as a whole, but it requires certain things to be in place. Otherwise you are effectively buying activity and communication. In practice two models tend to work, in different ways:
- Buy expertise, not volume. Often the best deal is bringing in an agency for what is hard to build quickly in‑house, deep platform expertise, advanced analysis, experiment design, setup and structure, creative edge, or the ability to challenge a vendor’s best practice and find unconventional paths. Then a smaller internal team can run the day‑to‑day while the agency becomes your edge and quality boost.
- Outsource a full function, but build minimal in‑house first. Outsourcing a full channel can work very well if you have goals, measurement logic, decision paths, and data in place, and if the agency is efficient enough to run without everything becoming a question back to you. A good way to avoid a bad buy is to first build a minimal internal base, someone who can set direction, understand trade‑offs, review output, and hold the whole together. Without that minimal internal engine, the agency easily becomes an external silo that produces a lot but where learning never lands with you.
Regardless of model, these are the things that usually reduce noise and increase impact:
- Set goals tied to the business with a breakdown everyone accepts. The agency should not deliver activity but contribute to outcomes. Translate business goals into a few steering metrics per area and be clear on what is secondary.
- Agree on a measurement method and a source of truth. You need to align on what applies, MMM, incrementality or testing, or a combination, and which numbers count. Otherwise every meeting becomes a debate about which dashboard is right.
- Build decision forums with discipline. Where decisions are made, who must be present, what gets documented, and what is the default when evidence is missing. Open Slack access without a decision chain often creates more rework, not more speed.
- Ensure platform expertise and the right incentives. One of the main reasons to use a strong agency is their ability to go beyond vendor recommendations. That competence, understanding platforms deeply, seeing shortcuts, challenging best practice, and building an optimization engine that benefits you, becomes even more important when everything is packaged as click here or AI employees.
- Design the ordering organization. Avoid the one‑to‑one mirror where each internal specialist owns one to three channels and has agencies for everything else. It burns communication hours, creates handoffs, and shifts energy from impact to sync. You get better leverage when the buyer role has broader scope, owns outcomes across multiple channels, and you combine in‑house and agency with clear interfaces.
- Set guardrails and quality controls in the flow. With more automation you need clear constraints, budget rules, brand guidelines, approvals, QA, and stop conditions. Otherwise you get faster output but higher brand risk and more coordination when things need to be rolled back.
Dashboards can help, but they do not solve the root problem if you and the agency still look at different metrics and hold different definitions. Structure shifts communication from a constant stream of questions to fewer, sharper discussions and decisions, and makes the agency the leverage it is meant to be.