Your media budget is finite. Every dollar you spend on a channel or message variant that duplicates an audience you have already reached is a dollar wasted. Yet most turf analysis media planning decisions still rely on gut instinct or last-click attribution, leaving marketing teams unable to answer a straightforward question: which combination of channels and messages will reach the largest number of unique people for the least cost?
At Meraki Research, we apply Total Unduplicated Reach and Frequency analysis -- a methodology originally built for product line optimisation -- directly to your media and messaging mix. The goal is the same one that makes TURF powerful in any context: identify the smallest set of options that maximizes unduplicated reach across your respondents, whether those options are flavors on a shelf or ad placements across a media plan.
We have run TURF studies across dozens of categories, from CPG brands choosing between a strawberry and lime flavor extension to enterprise software firms deciding which conference keynotes will reach the broadest cross-section of buyers. That range of experience means our team knows how to design the survey, structure the question set, and interpret results in ways that translate directly into media buying decisions.
How TURF Analysis Applies to Media and Messaging
Traditional TURF analysis was designed to solve a portfolio problem. Example: a beverage company wants to know which five flavors out of twelve candidates will appeal to the greatest number of unique individuals. The math identifies combinations where each added flavor brings in consumers no other flavor already captured.
Media planning is the same problem wearing different clothes. Swap "flavors" for "channels" or "message themes" and the logic holds. Instead of asking which product variants cover the most taste preferences, you ask which media placements or creative executions cover the most audience segments. Frequency targets can be layered on top so you are not just reaching people once but hitting them at an optimal cadence.
This reframing is what sets our approach apart from simple reach-curve modelling. We are not estimating impressions; we are measuring which individuals in your survey sample would be reached by each combination, yielding precise unduplicated counts rather than probabilistic overlaps.
The practical advantage is significant. Traditional media planning tools estimate total impressions and deduplicate at the channel level using panel-based overlap assumptions. Our TURF-based approach measures actual stated exposure and preference at the respondent level, which means the unduplicated reach figures we produce are grounded in real data from the people you are trying to reach, not in industry averages.
Our Approach: The Meraki Media TURF Framework
We follow a structured, five-phase process that moves from strategic framing through to media-ready recommendations.
Phase 1 -- Channel and Message Inventory
Before we build a survey, we work with your team to catalog every media channel, placement type, and message variant under consideration. This inventory becomes the option set that TURF will evaluate. We typically see lists of 10-30 options; larger lists are fine but require careful respondent design to avoid fatigue.
During this phase, we also clarify constraints. Some channels may be mandatory (your team has already committed budget). Others may be mutually exclusive (two competing conference sponsorships in the same week). Capturing these rules upfront ensures the TURF model reflects planning reality, not just mathematical optima.
Phase 2 -- Survey Design and Respondent Selection
We design a question battery where respondents indicate which channels they regularly consume and which message themes resonate. The question format matters enormously: forced-choice grids, maximum-difference tasks, or simple check-all-that-apply items each have tradeoffs in data quality and respondent burden. Our analysts recommend the right format for your specific goal.
Sample composition is equally critical. We recruit respondents who mirror your target market so that reach estimates translate to real-world planning, not hypothetical coverage. For multi-segment campaigns, we over-sample smaller segments to ensure the TURF model captures their media consumption patterns with adequate precision.
Phase 3 -- TURF Computation and Scenario Modeling
With clean data in hand, we run the core TURF analysis: iterative algorithms that evaluate every viable combination and rank them by total unduplicated reach. We then layer in Frequency constraints, budget caps, and minimum-coverage rules to generate scenarios that reflect real planning trade-offs.
For a typical study, we model anywhere from three to fifteen scenarios. Each scenario answers a different version of the planning question: "If we can only afford six placements, which six?" or "Which three message themes cover 80 percent of our audience?" We also run sensitivity analyses to show how results shift if assumptions about channel costs or audience size change, giving your planning team the flexibility to adapt as conditions evolve.
Phase 4 -- Incremental Reach Mapping
We chart the marginal contribution of each channel or message so your team can see exactly where diminishing returns set in. This visual output is often the single most actionable deliverable because it shows the point at which adding another option barely moves the needle on unique people reached.
The incremental reach map also highlights efficiency. A channel that ranks eighth in absolute reach might rank third in incremental reach because it covers a niche audience segment no other channel touches. Without this analysis, that channel would be cut from the plan. With it, your team can make informed decisions about which options punch above their weight in audience coverage.
Phase 5 -- Activation Planning
Finally, we translate statistical findings into a media or messaging brief your planning team can execute against. We map TURF-optimal combinations back to CPMs, available inventory, and creative production timelines so the analysis does not stall at the insights stage.
For each recommended scenario, we provide a budget allocation framework and a phasing recommendation that accounts for campaign timing. The deliverable is structured so your media buyer or agency can implement it directly, without having to re-interpret the research.
When Media & Message TURF Is the Right Fit
This service is designed for situations where:
- You have a defined set of channel or message candidates and need to reach the widest audience with a limited budget.
- Your product or brand spans multiple audience segments and you need to know which placements cover each segment without duplication.
- You are planning a campaign launch and want to optimise the mix before committing spend.
- Your team is debating between creative executions and wants data on which combination of messages appeals to the broadest group of individuals.
- You are preparing a multi-market campaign and need to understand how optimal channel combinations differ by geography or audience segment.
When it is not the right approach: If your primary objective is frequency optimisation for a single narrow segment, or if you have fewer than five channel or message options to evaluate, simpler analytical tools may suffice. We will tell you that upfront. Similarly, if you need real-time bidding optimisation, programmatic platforms handle that better than survey-based TURF; our method excels at strategic planning, not in-flight media buying.
What We Deliver
- TURF Scenario Report -- A detailed document showing top-ranked combinations at multiple budget or option-count levels, with unduplicated reach percentages for each scenario and sensitivity analyses around key assumptions.
- Incremental Reach Charts -- Visual maps showing the marginal audience gain from every additional channel or message, annotated with efficiency metrics.
- Audience Overlap Matrix -- A grid that reveals where channels or messages duplicate reach, useful for pruning redundancies and identifying complementary pairings.
- Segment-Level Breakouts -- TURF results broken out by key audience segments so your team can see whether the optimal combination differs for different groups of people.
- Media Planning Brief -- A two-to-three page activation summary formatted for your media buying team or agency, complete with budget allocation and phasing recommendations.
- Raw Data Files -- Cleaned respondent-level data for your internal analytics team, delivered in CSV or SPSS format.
Timelines vary by scope. A focused study with 10 options and 500 respondents typically moves from kickoff to final deliverables in four to five weeks. Larger studies with custom survey instruments may require six to eight weeks.
Industry Applications
Consumer Packaged Goods -- Determine which retail media networks, in-store placements, and digital channels deliver the broadest unduplicated shopper reach for a product line launch. TURF is especially valuable when managing co-op media dollars across multiple retail partners.
Healthcare & Pharma -- Optimize physician and patient messaging across journals, conferences, digital education platforms, and sales rep detailing. Regulatory constraints often limit channel options, making the optimisation problem even more valuable to solve rigorously.
Financial Services -- Identify the media mix that reaches the widest cross-section of prospects across life stages, from student-loan holders to retirees, ensuring that each channel addition brings in a meaningfully different audience.
Technology & SaaS -- Evaluate which combination of webinars, paid search themes, and trade publications covers the most decision-makers in a fragmented B2B buying committee where each individual may consume different media.
Retail & E-Commerce -- Model the optimal promotional message set for seasonal campaigns where each message variant targets a different shopper motivation, from deal-seekers to brand loyalists.
Media & Entertainment -- Optimize cross-platform promotional strategies for new content launches, identifying which combination of trailers, social teasers, and influencer partnerships delivers maximum audience coverage.