Six Ways to Improve Media Planning in 2025

Arima
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Media planning in 2025 is complex to say the least. Automation is changing workflows, audiences are harder to reach, and media teams face growing pressure to prove ROI despite evolving privacy laws and brand safety concerns. Relying on last year’s playbook isn’t an option. On top of that, planners must navigate fragmented content, shifting media habits, and the rise of ad-free platforms, while balancing precision, performance, and scale.

In this article, we explore some of the biggest challenges media planners face today, along with practical solutions to help teams stay agile and effective.

Challenge #1: Overcoming Low Confidence in Media Strategy Effectiveness

As measurement methodologies multiply, click-through rates, reach, attention metrics, outcome-based KPIs, planners are left with an overwhelming question: which media investments are working?

For many teams, the fragmentation of performance data across channels has made it difficult to attribute impact with confidence. Without a consistent framework to evaluate cross-channel effectiveness, media strategies often rely on incomplete or outdated assumptions.

Solution: Planner-Friendly Marketing Mix Modeling

Modern marketing mix modeling (MMM) has evolved to address these challenges head-on. While historically MMM was used sparingly, often once every year or two, outsourced to specialized analytics teams, today’s leading organizations are adopting next-gen MMM tools. These models are faster, more accessible, and more affordable than legacy approaches.

Instead of being locked into project-based contracts, planners now subscribe to ongoing modeling platforms that enable unlimited model runs and real-time experimentation. This shift empowers media teams to:

This creates a continuous feedback loop where planners can refine decisions based on live data, boosting confidence in the strategies they recommend and ensuring alignment with broader organizational goals.

MMM Graph showing ROAS by channel
Track ROAS by channel with Marketing Mix Models

Challenge #2: Uncertainty Around Audience Composition and Media Habits

Efficiency in media planning hinges on accurately identifying and reaching the right audience. Yet as consumer behaviors fragment across platforms, and cookies, IDs, and other third-party signals degrade, media planners are finding it increasingly difficult to answer foundational questions: Who is the audience? Where are they spending their time? What motivates their choices?

Traditional audience insights tools are often expensive yet still fall short, offering either limited granularity or outdated data. Without a clear picture of the target audience and their media consumption patterns, planners risk misalignment between strategy and actual audience behavior, leading to wasted spend and underperforming campaigns.

Solution: Persona Builder Powered by the Synthetic Society

The Persona Builder, underpinned by the Synthetic Society dataset, provides a robust solution for understanding and forecasting audience behavior in a privacy-first, scalable way.

Rather than relying solely on historical campaign data or third-party trackers, the Persona Builder enables media planners to:

In times of economic stress, every advertising dollar matters, and effective campaigns rely on precise targeting. Tools like the Persona Builder are critical for restoring confidence in who is being reached (and how).

Media usage trends and projections
The projected media usage trend of a specific audience

For example, Panoply Media used Persona Builder to identify that their audience frequented movie theatres more than other groups. So they ran ads in cinemas and saw a boost in engagement and performance.

Challenge #3: Maximizing Yield Across an Expanding Channel Mix

As media ecosystems continue to break down, planners navigate to an increasingly complex portfolio of channels, from digital and linear to social, print, and out-of-home. While each channel plays a role, the challenge lies in understanding how they work together to influence the full customer journey, from awareness to intent to conversion.

Focusing solely on identity-based, bottom-funnel performance data can obscure the impact of upper-funnel media. Traditional attribution models often underrepresent analogue or brand-building channels, even when those are instrumental in creating demand.

Solution: Synergy Analysis within Arima’s Marketing Mix Modeler

To better understand cross-channel performance, Arima’s Synergy feature, available within its MMM platform, provides clear insight into how media channels amplify or dilute one another.

Synergy quantifies the interaction effects between channels, helping planners identify combinations where the total impact exceeds the sum of individual contributions. This enables smarter, more strategic planning decisions.

For example:

Media synergy, showing strong correlations and weak correlations
Media synergy reveals best and worst media combos

Synergy identifies when certain channels are more effective in tandem, and when they perform better independently, ensuring that media investments are not just efficient in isolation, but optimized across the entire mix. When used in combination with the channel forecasting tool, Synergy provides an opportunity to detail how changes in channel spend impact KPI performance.

Challenge #4: Accounting for External Market Forces

Even the most well-executed media plan can fall short if external factors are at play. Shifts in consumer sentiment, macroeconomic trends, competitive activity, and global events can all influence campaign performance, often in ways that are difficult to isolate using traditional measurement tools.

Media planners are left wondering: why isn’t my advertising campaign working? Are poor results due to strategy, or circumstances beyond our control? Without a clear way to account for these external variables, it becomes difficult to assess true campaign effectiveness or defend media investment decisions.

Solution: Marketing Mix Models that consider external factors

Modern Marketing Mix Models, such as those offered by Arima, are uniquely equipped to factor in external influences and market dynamics. These models go beyond media inputs to include:

By integrating these variables, MMMs provide a more accurate picture of what drives performance. With these capabilities, planners can also adjust strategies on the fly. This might mean reallocating spend during a downturn, capitalizing on seasonal spikes, or accounting for competitor moves in the market.

The result is smarter, data-informed decision-making that reflects the real conditions media plans are operating within, improving both ROI and internal confidence in strategic direction.

Chart showing the impact of macroeconimic trends
MMM sliders help to forecast “what if” scenarios

Challenge #5: Fragmented Tools and Disconnected Workflows

One of the most persistent challenges in media planning today is the fragmentation of tools, data sources, and processes. Media buyers are often forced to toggle between multiple platforms, audience tools, planning software, analytics dashboards, spreadsheets, just to get a complete view of the campaign landscape.

This lack of integration leads to inefficiencies, inconsistent data, and planning delays. As campaign complexity increases, the need for a unified, adaptable planning environment becomes critical.

Solution: Arima’s Cross-Media Planner

Arima addresses this fragmentation with its Cross-Media Planner, a unified platform that combines the strengths of InstaPoll/Persona Builder and Marketing Mix Modeling in a single interface.

Designed to serve as a central hub for strategic planning, the Cross-Media Planner enables media buyers to:

By consolidating insight and execution into one platform, media teams can make faster, more coordinated decisions, improving strategic alignment, internal collaboration, and ultimately, campaign results.

Arima’s Cross-Media Planner connects seamlessly to MMM

Challenge #6: Accessing Niche Consumer Insights Quickly and Affordably

Whether responding to a new trend, evaluating how a message resonates with a specific audience, or preparing for a pitch, there’s growing pressure to uncover hyper-relevant audience insights, quickly and without breaking the budget.

Traditional market research methods (i.e. commissioned surveys or focus groups) are often too slow and expensive to meet these demands. As a result, teams are left relying on assumptions, outdated data, or anecdotal evidence.

Modern media teams know, spending time and money targeting the wrong audience, or the right audience with the wrong message, can be a costly mistake.

Solution: InstaPoll for Real-Time Audience Insights

Arima’s InstaPoll tool offers a faster, more agile approach to consumer research. Powered by the Synthetic Society, InstaPoll enables media planners and marketers to survey representative populations in hours, not weeks.

The Synthetic Society offers a deep view of your audience

With InstaPoll, teams can:

The result is highly relevant, fast-turnaround intelligence, at a fraction of the cost of traditional methods. Whether testing messaging, evaluating product-market fit, or exploring cultural trends, InstaPoll gives teams the confidence to make informed decisions under tight timelines. InstaPoll fits seamlessly into Arima’s platform, allowing for layered insights.

Visual flow of how InstaPoll connects to Arima’s media planning tools
Insights from InstaPoll can be used in Audience Builder and Location Intelligence

Media planning in 2025 demands more agility, integration, and insight than ever before. As audiences become harder to reach and ROI expectations rise, planners must evolve their toolkits and approaches to keep up. The good news? With the right solutions, from always-on modeling to synthetic datasets, media teams can cut through the complexity and drive real, measurable impact.

Key Takeaways

With these tools in hand, media planners are better equipped to meet today’s challenges and tomorrow’s opportunities.

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