Unified Planning, Media, Creative and Analytics: Who Does It?

A small number of platforms now claim to unify planning, media execution, creative production, and analytics inside a single environment. Whether that claim holds up in practice depends entirely on what you mean by unified, and most vendors mean something far more modest than the word implies.

This article maps the companies making that claim, examines what they have actually built, and gives you a way to evaluate whether any of them solve a real problem in your stack.

Why This Conversation Is Happening Now

The fragmentation problem in marketing technology is not new. What has changed is that the cost of fragmentation has become visible in a way it was not before. When I was running iProspect and we grew from around 20 people to over 100, one of the persistent operational headaches was the number of platforms that held different pieces of the same campaign picture. Planning happened in one tool. Media buying in another. Creative briefing in a shared document somewhere. Reporting pulled from three different sources, reconciled manually every week by someone who had better things to do.

The waste was not just time. It was signal. By the time data moved from execution to reporting to planning, it had aged. Decisions were being made on last week’s reality, not today’s. The pitch for unified platforms is essentially a pitch against that lag, and it is a legitimate pitch.

If you are thinking about how this fits into a broader martech conversation, the Data and Martech Stack hub covers the wider landscape of tools, measurement approaches, and stack decisions that sit around this question.

What Does Unified Actually Mean in This Context?

Before mapping the vendors, it is worth being precise about what the four capabilities actually involve, because “unified” means something different depending on which two of them a platform is strong in.

Planning, in this context, means audience strategy, channel selection, budget allocation, and scenario modelling before a campaign goes live. It is the thinking that precedes buying. Media execution is the actual placement and optimisation of paid inventory across channels, whether that is programmatic display, paid search, paid social, or connected TV. Creative covers both production and performance intelligence: building assets and understanding which versions of those assets are driving outcomes. Analytics means closed-loop measurement, attribution, and the feedback loop that informs the next planning cycle.

A platform that does all four natively, with shared data flowing between them in real time, is genuinely rare. Most platforms do two of these well and have either built or acquired the other two at varying levels of depth. The sales conversation will present all four as equal. They are not.

The Platforms Making the Broadest Claims

A handful of companies have built enough breadth to make a credible case across all four areas. None of them are perfect across the board, and the right one for your organisation depends on your existing stack, your primary channel mix, and where your current workflow is breaking down.

Google Marketing Platform remains the most complete ecosystem for organisations running significant search and display spend. DV360 handles programmatic buying, Campaign Manager handles tracking and attribution, Search Ads 360 covers paid search management, and Google Analytics 4 sits underneath it all. Planning tools exist inside the ecosystem, though they are less sophisticated than standalone options. The strength is data coherence across execution and measurement. The weakness is that it pulls you toward Google inventory and Google’s measurement methodology, which is not always a neutral position to be in.

Adobe Advertising Cloud, as part of the broader Adobe Experience Platform, makes a strong case for organisations already invested in Adobe’s stack. The integration between advertising execution, audience management via Real-Time CDP, and analytics via Adobe Analytics is genuine rather than cosmetic. Creative production and personalisation through Adobe Express and Firefly adds a dimension most pure-play media platforms cannot match. The honest caveat is that the full Adobe stack is expensive and complex to implement. You are buying into an ecosystem, not just a tool.

The Trade Desk is primarily a DSP, but its Kokai platform has moved meaningfully toward planning and measurement. Koa, its AI layer, provides planning recommendations based on audience and inventory signals. Measurement integrations with third-party attribution providers are solid. What it does not have is native creative capability or a closed analytics loop. It is the strongest pure-play media platform in the independent space, but it needs partners to complete the picture.

Skai (formerly Kenshoo) has built a credible case across retail media, paid search, and paid social, with planning and measurement tools that sit around the execution layer. Its strength is in performance channels rather than brand or upper-funnel media. If your primary challenge is managing complex retail media and search programmes with consistent measurement, Skai is worth a serious look. If you need brand planning and creative intelligence, you will need to supplement it.

Mediaocean sits at the planning and workflow end of the spectrum, with Prisma as its media management platform and a growing set of analytics and creative tools built through acquisition. It is the platform of record for many large agency holding groups, which means it has deep roots in traditional media planning workflows. Its programmatic and real-time execution capabilities are less native than its planning and billing functions.

Smartly.io has built one of the more credible creative-plus-media platforms for social channels, with strong automation across Meta, TikTok, Pinterest, and Snapchat. Its creative production tools are genuinely useful for teams running high volumes of social creative. Analytics are solid within the social ecosystem. Where it falls short is in cross-channel planning and in channels outside social, where its coverage is thin.

Where Creative Intelligence Is Still Catching Up

I have sat in a lot of vendor presentations over the years where the creative analytics capability was presented as a solved problem. It is not. I was in a meeting with a large technology vendor a few years ago where the pitch was essentially: our AI analyses your creative assets, identifies which elements are driving performance, and automatically generates better variants. The demo was impressive. The underlying data was six months old and based on a single market. When I asked how it handled creative fatigue signals in real time, the answer was a detour into a different slide.

The challenge with creative analytics is that it requires connecting asset-level data to outcome data in a way that most ad serving architectures do not naturally support. You can know that ad A outperformed ad B. Knowing which element of ad A drove that performance, and then feeding that signal back into the next creative brief, requires a level of integration between creative production, trafficking, and measurement that most platforms have not solved cleanly.

Companies making genuine progress here include VidMob, which focuses specifically on creative intelligence and has built a credible data layer around asset performance. Pencil and Persado approach it from generative AI and language optimisation respectively. None of them are full unified platforms. They are point solutions for the creative intelligence gap, and they need to connect to your media and analytics stack to deliver value.

Platforms like Hotjar offer useful behavioural analytics on the site side, which can inform creative decisions upstream, but they are not part of the paid media creative loop. The connection between on-site behaviour and paid creative performance is still largely manual in most organisations.

The Acquisition Problem and What It Means for Integration Quality

A significant portion of the “unified” capability that vendors are presenting right now was acquired rather than built. That is not inherently a problem. Acquisitions can bring genuine capability. But it does create a specific risk that is worth understanding before you commit to a platform.

When a platform acquires a point solution, the integration timeline from acquisition to genuine product coherence is typically 18 to 36 months, often longer. In the interim, what you get is two products with a shared login and some data connectors between them. The sales conversation will not present it that way. The product roadmap will show a future state that may or may not arrive on schedule.

I have seen this pattern play out enough times to be cautious about it. When I was evaluating platforms for a major retail client, we were presented with a unified creative and media solution from a vendor who had acquired the creative tool eight months earlier. The integration was a webhook. A webhook is not unification. It is a pipe between two separate systems, and when one of them updates its API, the pipe breaks.

The right question to ask any vendor is not “does your platform do X?” but “where does the data for X live, and what happens to it when it moves between modules?” If the answer involves words like “connector”, “integration layer”, or “API sync”, you are looking at a federation of tools, not a unified platform. That may still be the right choice for your organisation, but you should know what you are buying.

Optimizely’s approach to experiment collaboration is a useful reference point here. The value of experimentation infrastructure is not in running individual tests. It is in building a shared data environment where test results inform decisions across teams. That principle applies equally to unified media platforms. The value is in the shared data layer, not in the feature count.

Smaller and Specialist Platforms Worth Knowing

Beyond the major platforms, a set of more focused companies are building credible capability in specific parts of the unified stack.

Clarisights and Funnel.io are strong in the analytics and data aggregation layer, pulling media performance data from across channels into a single reporting environment. They do not execute media or produce creative, but they solve the measurement fragmentation problem cleanly for organisations running multi-channel programmes.

Northbeam and Triple Whale have built measurement and attribution tools specifically for direct-to-consumer brands, with a focus on multi-touch attribution and media mix modelling at a price point accessible to mid-market advertisers. They are not full unified platforms, but they address a real gap in the analytics layer for brands that cannot afford enterprise measurement solutions.

Hunch and Marpipe are building in the creative automation and testing space, with tools that connect creative variants to performance data in a more systematic way than most ad platforms support natively. Both are worth evaluating if creative testing at scale is a specific workflow problem you are trying to solve.

For organisations thinking about how these tools connect to broader demand generation strategy, Forrester’s perspective on demand creation is a useful frame for understanding where unified platforms fit in the commercial picture, and where they do not.

How to Evaluate a Unified Platform Without Getting Sold a Vision

The evaluation process for platforms in this space is where most organisations go wrong. They start with a vendor’s capability matrix and try to score it against a list of requirements. The problem is that capability matrices are marketing documents. Every box gets a tick. The differentiation is in the depth behind the tick, and that only becomes visible when you look at specific workflows.

A more useful approach is to start with your three most painful workflow failures. Not your wish list, not a theoretical future state. The actual points where your current process breaks down, loses signal, or creates manual work that should not exist. Then evaluate each platform against those three failures specifically.

Ask vendors to show you, in a live environment, how a planning decision made in their platform translates into a media execution change, and how that change is reflected in the analytics view. Watch for the moment where they switch tabs, export a CSV, or say “that would be handled in a separate workflow.” That is the seam in the unification.

Reference checks matter more in this category than in most others. The implementation complexity for unified platforms is significant, and the gap between what was promised and what was delivered is often substantial. Talk to customers who have been on the platform for at least 18 months, not just recent implementations. Ask them specifically about the integrations between modules, not the modules themselves.

Tools like feature flag management are a useful analogy for how to think about platform capability over time. Features that are live in a platform today may have been built to a different specification than what you need, and the roadmap items that would close the gap may or may not arrive. Build your evaluation around what exists today, not what is promised for next quarter.

The Commercial Case for Consolidation, and Its Limits

There is a genuine commercial argument for consolidating onto fewer platforms. Licence costs, integration maintenance, and the human overhead of managing multiple vendor relationships are all real. When I was managing a portfolio of agency clients, the cost of platform sprawl was not just in the licences. It was in the analyst time spent reconciling data between systems, the account manager time spent managing vendor relationships, and the decision latency created by data that lived in different places.

But consolidation has a cost too, and that cost is often underestimated. Migrating from a best-in-class point solution to a unified platform that is weaker in that specific area means accepting a capability reduction in exchange for workflow simplification. That trade-off is sometimes worth making. It is not always worth making.

The organisations that get this decision right are the ones that are honest about where their current pain is. If the pain is in data reconciliation and reporting, a unified analytics layer may solve 80% of the problem without requiring you to change your media buying or creative tools. If the pain is in creative production volume and testing, a creative automation tool that integrates with your existing media platform may be a better answer than a full platform migration.

Consolidation for its own sake is not a strategy. It is a procurement decision dressed up as one. The question is always what specific outcome you are trying to improve, and whether the consolidation path actually improves it.

If you are working through broader decisions about your martech architecture, the Data and Martech Stack hub covers measurement infrastructure, data strategy, and stack evaluation across the full range of tools that sit around your media operation.

About the Author

Keith Lacy is a marketing strategist and former agency CEO with 20+ years of experience across agency leadership, performance marketing, and commercial strategy. He writes The Marketing Juice to cut through the noise and share what works.

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