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- Issue #59: In-housing Returns
Issue #59: In-housing Returns
The fastest way for digital marketing pros to look smart in the weekly stand-up
☕ Morning, media leaders
Grab a coffee and catch up on the adtech and digital marketing stories worth knowing this week.
🗞️ Top Stories
Thrad partners with DeepAI to enable paid ads in LLMs
Thrad has partnered with DeepAI to introduce paid advertising inside large language model environments, extending monetisation across AI chat platforms.Amazon Ads launches MCP Server for agent advertising
Amazon Ads has introduced its MCP Server, enabling AI agents to directly plan, build and manage advertising campaigns via Amazon’s APIs.Ebiquity study sheds new light on TikTok effectiveness
New research from Ebiquity suggests TikTok’s impact is better understood through attention, creative quality and long-term effects - not last click ROI.YouTube Marketplace boosts reach for Dentsu planners
Dentsu planners are using YouTube Marketplace to improve reach and planning efficiency across premium video and TV-style inventory.Lego builds out in-house programmatic team
Lego is expanding its internal programmatic buying capabilities as it looks to take greater control of media strategy, execution and data.
💭 60-Second Take – Lego and the next in-housing wave
Lego’s decision to build an in-house programmatic team is the clearest signal yet that in-housing is back on the agenda - again. Programmatic in-housing isn’t a new idea, it’s a recurring cycle. Brands pull capability in-house, realise where the limits are, then rebalance with partners. The interesting question is whether this time is genuinely different.
Why have brands historically moved in-house?
Earlier in-housing waves were driven by familiar pressures - reducing costs, increasing supply chain visibility and tightening data governance. As media supply chains grew more complex and trust eroded, brands looked to in-housing as a way to regain transparency and control. The challenge was that while the motivations were clear, the operating reality often proved heavier, slower and harder to sustain than expected.
Is AI the real catalyst this time?
Previous in-housing waves were slowed by complexity, fragmented adtech stacks, specialist skill requirements and heavy operational lift. Today, AI-driven planning, optimisation and workflow tools can dramatically lower that barrier. We are right on the horizon of programmatic no longer requiring the same scale of manual execution, making in-housing more viable for brands that want control without rebuilding operations from scratch.
What will look different over the next 18 months?
This won’t be about brands fully replacing agencies. Instead, we’re likely to see lean, in-house teams focused on strategy, governance and data ownership, with platforms plugged in for scaled activation. Agencies support strategy and drive innovation whilst brands accelerate their speed to decision-making. In-housing becomes less about cost-cutting and more about operating model design.
This wave of in-housing won’t be a rebellion against agencies, it’s a rethink of how modern digital marketing will work. AI lowers the execution burden, partnerships carry innovation and scale, with brands focussed on making better decisions faster. Different from previous waves and more likely to stick.
Got feedback, suggestions or interested in partnerships? Hit reply and let us know.
See you next time,