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<h3>Bridging Media Planning and Data Science</h3><p>This article is a follow-up to "<a data-mce-href="https://morethandata.biz/blog/a-data-scientist-sitting-next-to-a-media-planner" href="https://morethandata.biz/blog/a-data-scientist-sitting-next-to-a-media-planner" target="_blank" rel="noopener"><strong>A Data Scientist Sitting Next to a Media Planner</strong></a>", diving deeper into how these two roles collaborate to enhance media planning efficiency and productivity. By leveraging data-driven insights, media planners can make smarter, more informed decisions, bridging gaps in traditional media planning approaches.</p><h3>The Role of Data in TV Programmatic Trading</h3><p>A prime example of this collaboration is <strong>Channel 9’s TV programmatic trading and buying platform</strong>. Media planners rely heavily on this system to plan, justify, and optimize TV ad placements. Channel 9 has developed an internal system that captures detailed TV ad response, performance, and audience reach data, offering insights such as:</p><ul><li><strong>Program Genre</strong>: Movies, news, drama, etc.<br></li><li><strong>TV Stations</strong>: 9GO, 9Life, and others<br></li><li><strong>Ad Duration</strong>: 15s, 30s<br></li><li><strong>Timing &amp; Placement</strong>: Specific broadcast times, session placement, number of breaks<br></li><li><strong>Audience Reach</strong>: Target audience rate points<br></li><li><strong>Spend</strong>: Actual paid vs. bonus placements</li></ul><p>While this <strong>programmatic buying platform</strong> simplifies media planning, two key challenges remain:</p><ul><li><strong>Limited Access for Media Planners</strong>: Media planners cannot directly interact with the platform; instead, they must email or call a Channel 9 customer relationship manager to launch campaigns and request ad placements.<br></li><li><strong>Lack of Attribution to Business Growth</strong>: While TV spot data is well-labeled and tracked, there’s no direct link between individual TV ads and key business performance metrics like brand growth and product sales.</li></ul><p>Due to these gaps, media planners face uncertainty in identifying which TV tactics drive real business growth and how to optimize future campaigns effectively.</p><h3>The Role of Data Science: MMM and TV Attribution Modeling</h3><p>This is where a data scientist can transform media planning. By developing a Marketing Mix Modeling (MMM) and TV Attribution Model, data scientists can track the impact of each TV spot on business KPIs. Establishing a clear linkage between TV ads and final business outcomes allows media planners to:</p><ul><li><strong>Quantify ad effectiveness</strong> and optimize future investments.<br></li><li><strong>Eliminate uncertainty</strong> in campaign performance measurement.<br></li><li><strong>Refine media strategies</strong> based on data-driven insights rather than assumptions.</li></ul><h3>Predictive Modeling &amp; Scenario Testing</h3><p>Using data from Channel 9’s programmatic platform, data scientists can design predictive models that empower media planners with actionable insights. This system enables planners to:</p><ul><li><strong>Configure campaign settings</strong> based on genre, timing, spend, and audience reach.<br></li><li><strong>Predict campaign outcomes before investment</strong>, allowing for pre-campaign scenario testing.<br></li><li><strong>Optimize media planning in real time</strong>, providing foresight into how TV spots will perform before actual execution.</li></ul><p>Even before a TV plan is submitted, media planners gain full visibility into expected results, transforming media buying into a proactive, rather than reactive, process.</p><h3>The Evolution of Data-Driven Media Planning</h3><p>This TV planning system was originally built for a media agency and has been in continuous operation for six years as of 2025. Although the data scientist and media planner who developed it have since moved on, their intellectual property and system remain in active use, driving business growth.</p><p>And where is that data scientist now? The data scientist co-founded <a data-mce-href="https://morethandata.biz/" href="https://morethandata.biz/" target="_blank" rel="noopener"><strong>More Than Data</strong></a>—a company dedicated to helping media planners and agencies across the industry. If you're looking to elevate your media planning with advanced data-driven solutions, <a data-mce-href="https://morethandata.biz/contact-us" href="https://morethandata.biz/contact-us" target="_blank" rel="noopener" data-mce-selected="inline-boundary"><strong>reach out to us today</strong></a>. We are More Than Data, and we are here to help!</p>

Dive-In and Case Study: A Data Scientist Sitting Next to a Media Planner

<h3>Understanding the Role of Marketing Mix Modelling</h3><p>Marketing Mix Modelling (MMM) plays a crucial role in distinguishing and identifying the unique contribution of each media channel to key performance indicators (KPIs). By leveraging statistical analysis, MMM isolates the impact of different marketing activities, allowing businesses to understand which channels drive measurable results.</p><h3>Core Considerations in Media Planning</h3><p>Two fundamental aspects—<strong>media channel selection and media delivery objectives</strong>—must be chosen based on insights derived from MMM. Media planners evaluate several factors, including:</p><ul><li><strong>Channel Efficiency &amp; Effectiveness</strong> – Measuring return on investment (ROI) to determine the best-performing channels.</li><li><strong>Business Alignment</strong> – Matching channels to specific business objectives, as different goals require different media strategies.<br></li><li><strong>Channel Synergy</strong> – Evaluating how channels interact, ensuring combined effects exceed individual performance.<br></li><li><strong>Scenario Planning</strong> – Using different channel mix and budget allocations to forecast future business outcomes and optimize decision-making.</li></ul><h3>Data-Driven Media Planning for Business Growth</h3><p>Media planning is fundamentally a <strong>data-driven process</strong> that involves <strong>collecting, analyzing, and extracting insights from data</strong>. Future business growth depends on quantifiable metrics, and media planning should rely on <strong>historical data to generate predictive insights</strong>. This iterative process ensures that media strategies are <strong>defined, understood, and continuously refined</strong> based on measurable performance indicators.</p><h3>The Interplay Between Media Planning &amp; Marketing Mix Modelling</h3><p>Media planning also provides <strong>critical feedback to MMM</strong>, refining its insights to make them more realistic and actionable. For instance:</p><ul><li><strong>Overestimating channel performance</strong> can lead to unrealistic expectations and misallocation of budget.<br></li><li><strong>Underestimating channel impact</strong> may undermine media agencies’ ability to demonstrate service value and justify results.</li></ul><p>Balancing these perspectives ensures that MMM results<strong> align with practical marketing realities</strong>, enhancing decision-making accuracy.</p><h3>More Than Data: Driving Transparency &amp; Credibility</h3><p>At <a data-mce-href="https://morethandata.biz/" href="https://morethandata.biz/" target="_blank" rel="noopener" data-mce-selected="inline-boundary"><strong>More Than Data</strong></a>, we collaborate closely with media agencies across APAC, delivering transparency, credibility, and actionable insights on media channel effectiveness and efficiency. Our solutions empower agencies to optimize channel performance and maximize ROI. If you’re looking for data-driven media planning solutions, <a data-mce-href="https://morethandata.biz/contact-us" href="https://morethandata.biz/contact-us" target="_blank" rel="noopener"><strong>contact us today to learn more!</strong></a></p>

Marketing Mix Modelling: The Foundation of Media Planning

<h2>Understanding Marketing Mix Modeling (MMM)</h2>
<p>Marketing Mix Modeling (MMM) is a powerful analytical tool that helps businesses understand the impact of their marketing efforts. By evaluating the effectiveness of various marketing channels, MMM provides insights into how different strategies contribute to sales and revenue. For Australian businesses, leveraging MMM can lead to significant improvements in return on investment (ROI).</p>

<p>MMM works by analyzing historical data to identify patterns and relationships between marketing activities and business performance. This approach allows businesses to make informed decisions about where to allocate resources for maximum impact. In a competitive market, understanding these dynamics is crucial for staying ahead.</p>

<figure id="figure-11ypv1q8apm7lfota7"><img id="11ypv1q8apm7lfota7" src="https://media.gettyimages.com/id/1145882183/photo/financial-and-technical-data-analysis-graph.jpg?b=1&s=2048x2048&w=0&k=20&c=1P4qIn2D6k6OG4XDmSk21rltJjPZs1t1vXEIbJD-uZk=" alt="marketing analysis" class="object-cover bg-gray-100" style="aspect-ratio: 16/9"></figure>

<h3>The Benefits of MMM for Australian Businesses</h3>
<p>One of the primary benefits of MMM is its ability to optimize marketing budgets. By identifying the most effective channels, businesses can focus their spending on strategies that deliver the highest returns. This not only improves ROI but also ensures that marketing efforts are aligned with business goals.</p>

<p>Additionally, MMM provides a comprehensive view of the customer journey. By understanding how different touchpoints influence purchasing decisions, businesses can tailor their messaging and offers to better meet customer needs. This targeted approach increases engagement and drives conversions.</p>

<figure id="figure-tuwa1nzxokm7lfota7"><img id="tuwa1nzxokm7lfota7" src="https://media.gettyimages.com/id/1577017327/photo/graph-stock-chart-stock-market-digital-fui.jpg?b=1&s=2048x2048&w=0&k=20&c=My_GyVNC2htzDmCH0gWxI705kX8Vw1V8N1FLA_GaxVE=" alt="business strategy" class="object-cover bg-gray-100" style="aspect-ratio: 16/9"></figure>

<h2>Implementing MMM: Key Steps</h2>
<p>To successfully implement MMM, businesses should follow a structured approach. Here are some key steps to consider:</p>
<ol>
    <li><b>Data Collection:</b> Gather historical data from various marketing channels, including digital, print, TV, and radio.</li>
    <li><b>Data Analysis:</b> Use statistical techniques to analyze the data and identify trends and patterns.</li>
    <li><b>Model Development:</b> Create predictive models to simulate different marketing scenarios and forecast outcomes.</li>
    <li><b>Strategy Optimization:</b> Use insights from the models to adjust marketing strategies for improved ROI.</li>
</ol>

<p>By following these steps, Australian businesses can unlock the full potential of their marketing efforts and achieve greater success in their campaigns.</p>

<figure id="figure-lmk8bh2c1gm7lfota7"><img id="lmk8bh2c1gm7lfota7" src="https://media.gettyimages.com/id/1954841243/photo/data-analysis-chart-graph-3d-statistics-background.jpg?b=1&s=2048x2048&w=0&k=20&c=JqlWDrRuqpKotSJiWlw9XEKfqmlar9qw3g5TGMGWdVk=" alt="data analysis" class="object-cover bg-gray-100" style="aspect-ratio: 16/9"></figure>

<h3>Challenges and Considerations</h3>
<p>While MMM offers many benefits, there are also challenges to consider. One common issue is data quality. Accurate and comprehensive data is essential for reliable modeling. Businesses must ensure that their data collection processes are robust and that they have access to all relevant information.</p>

<p>Another consideration is the complexity of the models themselves. Developing accurate predictive models requires expertise in statistics and data analysis. Businesses may need to work with skilled analysts or partner with agencies specializing in MMM to achieve the best results.</p>

<h2>The Future of MMM in Australia</h2>
<p>The adoption of MMM is expected to grow as more Australian businesses recognize its value. As technology advances, new tools and techniques will make it easier to collect and analyze data, further enhancing the capabilities of MMM. This evolution will enable businesses to make even more precise and informed decisions about their marketing strategies.</p>

<p>In conclusion, Marketing Mix Modeling is a powerful tool that can significantly enhance the effectiveness of marketing efforts for Australian businesses. By providing insights into the impact of different marketing channels, it enables businesses to make data-driven decisions that maximize ROI. As the business landscape continues to evolve, embracing MMM will be key to maintaining a competitive edge.</p>

<figure id="figure-ifl8r9wf6m7lfota7"><img id="ifl8r9wf6m7lfota7" src="https://media.gettyimages.com/id/1887449067/photo/confident-businessman-in-modern-office.jpg?b=1&s=2048x2048&w=0&k=20&c=t7lPpv8khkhF5ZXW1w5wQLekaIqG_8Tb_LJ87_mFLz0=" alt="business growth" class="object-cover bg-gray-100" style="aspect-ratio: 16/9"></figure>

Maximizing ROI with MMM: A Comprehensive Guide for Australian Businesses

<h3>Rethinking Media Planning: A Data-Driven Approach</h3><p>Media planning is more than just selecting ad placements—it’s a strategic, data-driven discipline that ensures brands reach the right audience, at the right time, through the most effective channels. It involves identifying target audiences, choosing the best platforms, optimizing reach and frequency, and allocating budgets efficiently. Traditionally used in advertising, media planning is essential across industries like retail, e-commerce, financial services, and FMCG. Professionals handling this work range from media strategists and data analysts to digital marketers and performance marketers.</p><h3>The Core Elements of Media Planning—Backed by Data</h3><p>Effective media planning is rooted in data. Five key elements shape every decision:</p><ul><li><strong>Audience</strong>: Understanding who the target consumers are, using data from CRM, web analytics, and third-party sources to define demographics, interests, and behaviors.<br></li><li><strong>Channel Selection</strong>: Determining which platforms (TV, digital, social, OOH, etc.) deliver the best performance based on historical data and attribution models.<br></li><li><strong>Reach &amp; Frequency</strong>: Calculating how many people need to see an ad and how often, using media mix modeling (MMM) and predictive analytics.<br></li><li><strong>Media Objective</strong>: Aligning campaign goals with KPIs such as brand awareness (measured via surveys and social listening) or direct conversions (tracked through performance metrics like CTR and CPA).<br></li><li><strong>Investment</strong>: Allocating budgets based on ROI analysis, cost-per-acquisition (CPA), and lifetime value (LTV) modeling.</li></ul><h3>Media Agencies Don’t Buy Media—They Buy Business Growth<br></h3><p>The biggest misconception? Media agencies are not just buying ad space—they’re buying audiences and, ultimately, driving business performance. Every campaign should be accountable for tangible business outcomes. At the end of the day, agencies must prove how their strategies increase sales, drive customer engagement, and enhance brand equity through robust measurement frameworks.</p><h3>Media Planning is a Continuous, Data-Driven Loop</h3><p>Business growth is measured in data, meaning media planning, buying, and trading must be data-led, not guesswork. Every media strategy should use historical data to generate new insights, forming an iterative cycle that continuously optimizes campaigns. This process cannot be one-off; it must be a closed-loop system that refines itself over time to minimize inefficiencies and improve marketing ROI.</p><h3>The Old-School Approach is No Longer Enough</h3><p>Media agencies might still rely on intuition and guesswork, a practice that is outdated and ineffective. Agencies stuck in this mindset risk being treated as mere service providers rather than strategic, data-driven partners. Without leveraging data to:</p><ul><li>Formulate precise media strategies<br></li><li>Guide media planning with real audience insights<br></li><li>Justify channel performance and media mix<br></li><li>Minimize uncertainty and optimize investment scenarios<br></li><li>Predict future KPI growth</li></ul><p>they will eventually be left behind.</p><h3>How More Than Data Supports Media Agencies</h3><p>At <a data-mce-href="https://morethandata.biz/" href="https://morethandata.biz/" target="_blank" rel="noopener"><strong>More Than Data</strong></a>, we understand media planning inside out. Our products and services are designed to empower media agencies with data-driven tools, analytics capabilities, and strategic frameworks that optimize media investments and maximize growth. If you want to transform your media planning from guesswork to data-backed certainty, <a data-mce-href="https://morethandata.biz/contact-us" href="https://morethandata.biz/contact-us" target="_blank" rel="noopener"><strong>reach out to us today</strong></a>!</p>

Media Planning is Data Analytics, Not Guesswork

<h2>Understanding the Role of Business Intelligence in Marketing</h2>
<p>Business Intelligence (BI) tools have become indispensable in today's data-driven marketing landscape. These tools provide valuable insights that help businesses make informed decisions, optimize strategies, and ultimately boost their bottom line. By leveraging BI, marketers can gain access to real-time data analytics, predictive modeling, and comprehensive reporting capabilities.</p>
<figure id="figure-dnaq6qzi4dm7h5d6xf"><img id="dnaq6qzi4dm7h5d6xf" src="https://media.gettyimages.com/id/2157709105/photo/data-fabric-ai-artificial-intelligence-powered-analytics-data-data-verse-big-data-data.jpg?b=1&s=2048x2048&w=0&k=20&c=gYImeeQslIntNzWrO8iIyRALiovJOudFMtQ4GEeUQm8=" alt="data analytics" class="object-cover bg-gray-100" style="aspect-ratio: 16/9"></figure>

<h3>Identifying Key Metrics for Success</h3>
<p>To maximize the potential of BI tools, it's crucial to identify and focus on key performance indicators (KPIs) that align with your marketing goals. Common KPIs include customer acquisition cost, customer lifetime value, conversion rates, and return on marketing investment. By tracking these metrics, marketers can gauge the effectiveness of their campaigns and make necessary adjustments to improve performance.</p>

<h3>Integrating BI Tools with Existing Systems</h3>
<p>Successful integration of BI tools with your existing marketing systems is vital for seamless data flow and enhanced analysis. Ensure compatibility with your current CRM, CMS, and other platforms to streamline data collection and reporting. This integration allows for a unified view of customer interactions and campaign performance, enabling more strategic decision-making.</p>
<figure id="figure-l0b9kme6cgm7h5d6xf"><img id="l0b9kme6cgm7h5d6xf" src="https://media.gettyimages.com/id/2188236845/photo/digital-logistics-and-supply-chain-network-icons-over-warehouse-background.jpg?b=1&s=2048x2048&w=0&k=20&c=LpXi8t6GveRT3UjwPFEdYetXlsX_vJfFkDg3Fmqde50=" alt="systems integration" class="object-cover bg-gray-100" style="aspect-ratio: 16/9"></figure>

<h3>Leveraging Predictive Analytics for Future Planning</h3>
<p>Predictive analytics is a powerful feature of many BI tools that can forecast future trends based on historical data. By using predictive models, marketers can anticipate customer behavior, identify potential opportunities, and prepare strategies to address upcoming challenges. This proactive approach helps businesses stay ahead of the competition and adapt to market changes swiftly.</p>

<h3>Enhancing Customer Segmentation and Personalization</h3>
<p>BI tools offer advanced segmentation capabilities that allow marketers to divide their audience into distinct groups based on various criteria such as demographics, behavior, and purchase history. This segmentation enables more targeted and personalized marketing efforts, improving engagement and conversion rates. Personalization is key in today's market, where consumers expect tailored experiences.</p>
<figure id="figure-2c8a3hyenhm7h5d6xf"><img id="2c8a3hyenhm7h5d6xf" src="https://media.gettyimages.com/id/1134423735/photo/target-market-people-competition-teamwork.jpg?b=1&s=2048x2048&w=0&k=20&c=YAoN4FFPKtY4QGFqoDs5s10dWA_tOYbjVQuT1xriQWc=" alt="customer segmentation" class="object-cover bg-gray-100" style="aspect-ratio: 16/9"></figure>

<h3>Automating Reporting and Insights</h3>
<p>One of the significant advantages of BI tools is their ability to automate reporting processes. Automated reports save time and reduce human error, providing marketers with accurate insights at a glance. Regularly scheduled reports keep teams informed about campaign performance and facilitate quick decision-making to capitalize on emerging trends.</p>

<h3>Training Your Team for Optimal Use</h3>
<p>To fully benefit from BI tools, it's essential to invest in training your marketing team. Equip them with the knowledge and skills needed to interpret data effectively and utilize the tools efficiently. Consider workshops or online courses to enhance their proficiency, ensuring your team can leverage BI insights to drive results.</p>
<figure id="figure-93fv728fucm7h5d6xf"><img id="93fv728fucm7h5d6xf" src="https://media.gettyimages.com/id/841195992/photo/she-aspires-to-inspire-fitness-in-herself-everyday.jpg?b=1&s=2048x2048&w=0&k=20&c=vqV4HipwjNM1mnZoz86pLxVSCzdZ0HRAhFWGSJIX5wk=" alt="team training" class="object-cover bg-gray-100" style="aspect-ratio: 16/9"></figure>

<h3>Continuously Evaluating and Adapting Strategies</h3>
<p>The dynamic nature of marketing requires ongoing evaluation and adaptation of strategies. Regularly assess the impact of BI-derived insights on your marketing outcomes and adjust tactics accordingly. By fostering a culture of continuous improvement, your business can remain agile and responsive to evolving market demands.</p>

<p>In conclusion, maximizing the potential of Business Intelligence tools involves a strategic approach that integrates data-driven insights into every aspect of your marketing efforts. By focusing on key metrics, integrating systems, leveraging predictive analytics, and ensuring thorough training, businesses can enhance their marketing strategies and achieve sustainable growth.</p>

Expert Tips: Maximizing the Potential of Business Intelligence Tools in Your Marketing Strategy

<h3>A Common Challenge in Every Agency</h3><p>If you’ve ever felt overwhelmed by Excel files scattered across teams, endless back-and-forth data updates, or the struggle to keep track of historical records, you’re not alone. In fact, nearly every media agency we work with has asked us about streamlining data management.</p><p>The good news? There’s a simple and structured way to solve this. By <a data-mce-href="https://docs.google.com/spreadsheets/d/1DhXeMpHK-8ZX8F0K0d8-bs0Xawt6u5_9/edit?usp=sharing&amp;ouid=101060505899530320842&amp;rtpof=true&amp;sd=true" href="https://docs.google.com/spreadsheets/d/1DhXeMpHK-8ZX8F0K0d8-bs0Xawt6u5_9/edit?usp=sharing&amp;ouid=101060505899530320842&amp;rtpof=true&amp;sd=true" target="_blank" rel="noopener"><strong>using just two Excels and one Word document</strong></a>, agencies can bring order, clarity, and efficiency to their data workflow—without the headache of managing fragmented files.</p><h3>From Complexity to Simplicity: A Success Story</h3><p>We recently had the opportunity to work with a leading media agency in APAC, known for its strategic brilliance and strong industry reputation. But even top agencies face challenges when it comes to data organization and governance.</p><p>In preparation for a high-stakes pitch, their team needed to clean, structure, and consolidate their campaign data—fast. Over an intense three-day sprint, we worked alongside them, handling 17 Excel files filled with multiple sheets and versions.</p><p>The result? A streamlined, well-structured data system that not only helped them secure the pitch but also gave their team a much more efficient way to manage data moving forward.</p><h3>Helping Independent Agencies Work Smarter</h3><p>On the other end of the spectrum, we work with smaller, independent media agencies that are just as dedicated and ambitious as the larger firms. One agency subscribed to our Marketing Mix Modeling (MMM) service, requiring them to update their media spend and performance data regularly.</p><p>However, without a structured approach, data updates became time-consuming and repetitive, requiring multiple revisions and approvals. By implementing a simple yet powerful data management framework, we helped them save time, reduce errors, and focus on strategic insights instead of manual data wrangling.</p><h3>A Simple Formula: Two Excels and One Word Doc</h3><p>So, what’s the solution? <strong>A structured but flexible approach to media data management</strong>:</p><ul><li><strong>Excel #1 – The Dynamic Tracker</strong> Used for daily updates, tracking media spend, and campaign performance. Allows teams to collaborate seamlessly across different media channels.<br></li><li><strong>Excel #2 – The Verified Archive</strong> Stores finalized, reconciled data after approvals. Serves as a trusted long-term record for performance analysis and reporting.<br></li><li><strong>Word Document – The Data Change Log</strong> Captures updates, changes in data sources, client requests, and campaign adjustments. Ensures full transparency and serves as a valuable reference for audits.</li></ul><p>This simple system brings structure to what can otherwise feel like chaos, <strong>making data management more efficient, reliable, and stress-free</strong>.</p><h3>Building a Future-Ready Media Agency</h3><p>Strong data governance isn’t just about organizing files—it’s about unlocking new possibilities. With well-structured data, agencies can:</p><p>✅ <strong>Optimize campaign performance</strong> with more accurate insights.&nbsp;</p><p>✅ <strong>Justify media investments</strong> with data-backed storytelling.&nbsp;</p><p>✅ <strong>Strengthen client trust</strong> with clear and transparent reporting.&nbsp;</p><p>✅ <strong>Improve efficiency</strong>, freeing up time for strategy and creativity.</p><p>The best part? It’s not complicated. With just a few small changes in workflow, media agencies can gain a major competitive edge in the industry.</p><h3>Let’s Make It Happen</h3><p>At <a data-mce-href="https://morethandata.biz/" href="https://morethandata.biz/" target="_blank" rel="noopener"><strong>More Than Data</strong></a>, we believe that agencies deserve a smarter, simpler way to work with data. If your team is ready to enhance efficiency, reduce data frustration, and focus on what truly matters—your clients and campaigns—<a data-mce-href="https://morethandata.biz/contact-us" href="https://morethandata.biz/contact-us" target="_blank" rel="noopener"><strong>let’s connect</strong></a>.</p><p>Because at the end of the day, <strong>better data management isn’t just about numbers—it’s about unlocking creativity, insights, and growth</strong>.&nbsp;</p>

Transforming Media Agency Workflows: A Smarter Way to Manage Data

More Than Data

An Australia Sydney-based pioneer in marketing analytics, offering a free, fast, and user-friendly marketing mix modelling platform. We help marketers build actionable marketing mix models in under 10 minutes for instant insights. Our software Minute MMM is free, DIY, and simple—no costly consultants, complex tools, or data expertise needed. Optimize marketing investments with ease!

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<p><strong>This website delivers the media measurement &amp; budget optimization tools that big MMM providers charge premium prices for—only now, they're free.</strong></p>

Blog

Dive-In and Case Study: A Data Scientist Sitting Next to ...

Marketing Mix Modelling: The Foundation of Media Planning

Maximizing ROI with MMM: A Comprehensive Guide for Austra...

Media Planning is Data Analytics, Not Guesswork

Expert Tips: Maximizing the Potential of Business Intelli...

Transforming Media Agency Workflows: A Smarter Way to Man...