Most media plans contain the right steps and still underperform. Nielsen's 2022 ROI Report found that 50% of planned media channel investments were too low to achieve maximum return, based on Nielsen's own models and client media plans. The finding raises a practical question: how should brands decide which channels receive funding and how much?
Research gets done, channels get selected, budgets get divided, buying gets executed, and performance reports arrive. Each activity has an owner. The connections between them often do not.
For established brands managing several paid channels across internal teams and agency partners, the media planning process needs to connect these decisions. Research should determine channel roles, channel roles should inform budget allocation, and measurement should guide future spending decisions.
This article explains how to manage those connections throughout the media planning process, from initial research and channel selection to budgeting, buying, creative planning, and measurement. It also covers how to assign responsibility at each stage so findings lead to decisions while there is still time to act.
Media planning is the process of deciding who a brand will reach, when, where, how often and with what budget, and how the results will be judged. The media planning process turns a business goal into a plan that buyers execute and measurement evaluates.
The media plan is the document that decides who you will reach, when, where and with what message. It also does a second job that gets less attention: it becomes the baseline against which performance is later judged.
The PrEP Communications Accelerator describes the plan as both the guide that keeps implementation on track and the basis for evaluating reach and performance afterwards. That framing comes from public health communications, but it holds for any brand because it treats the plan as a measurement artifact as much as a buying one.
Strategy sets the business goal. Buying executes the purchase. The plan is the bridge, and it is where the placement recommendations that protect return on investment get made.
A complete media plan specifies:
The process is usually taught as a linear sequence of five to nine steps, depending on who is teaching it. Most versions agree on one point: the media brief review is the best chance to avoid wasted effort caused by misaligned goals.
Step lists like this are accurate about activities. They are quiet about decisions. Nothing in a sequence says who converts audience research into a channel role, who decides the minimum spend a role needs before it can work, or who is permitted to change the plan once results arrive.
The scope here is established brands running several paid channels with distinct jobs.
A quick audit makes the gap concrete. Open your current media plan and note which of the three handoffs has no named owner. Mostly it is the third one, because measurement was commissioned after the plan was written.
The media planning process runs in four steps: agree the media brief and objectives, research the audience, set reach, frequency and timing targets, and draft the plan with a measurement design built in. Treat each step as a decision a leader approves.
Make the brief review a decision meeting. Misalignment at the brief matters because every later step inherits whatever the brief leaves vague. Separate the business objective from the media objective and write both down.
A business objective is revenue, margin or share. A media objective is the audience condition that the plan is expected to create: reach among a defined group, an effective frequency, a cost efficiency target. The translation between the two is the first real decision, and it belongs to the marketing lead, with the planning team's input.
A hypothetical example shows the shape.
The second sentence can be planned and measured. The first cannot, on its own. Rewrite your brief so each business objective has a stated media objective and a named metric before anyone drafts a plan.
Your team or agency should bring three kinds of evidence, each with its own bias:
When the research is third-party or self-reported, ask four questions:
Research that cannot answer those questions can still inform a plan, but it should not set a budget line by itself.
The objective chosen in step 1 decides the frequency target here, which is why a brand goal and a conversion goal should not share one number.
Meta's 2016 Facebook IQ analysis found that the thresholds differed by outcome: lift in ad recall slowed substantially after a frequency cap of about one exposure per week, while lift in purchase intent did not start to slow until close to 1.5 per week.
The study is a decade old, limited to Facebook, and run on that platform's own measurement, so the specific thresholds should not be copied into a plan today. The mechanism still stands: deeper outcomes need more exposure than shallow ones, and a plan built to one frequency target will overserve one objective or starve the other.
Timing follows the same logic. Reach targets concentrate in launch windows; conversion targets track demand peaks.
Before buying starts, the plan must state the following, and the measurement design is the item most often missing:
The fifth item is what turns the plan from a buying order into an evaluation baseline. Without it, the post-campaign report has nothing to be compared against except the platforms' own accounts of themselves.
Give every channel a job and a metric that proves it, and remove any channel that cannot name both. Channel selection is a placement recommendation made to protect return on investment.
A recommendation without a stated job cannot be evaluated, only argued about. The three roles below map to the stages of a full-funnel marketing plan.
The role also sets the creative requirement. A reach asset has to register in a second with the sound off. A capture asset has to carry a specific offer and match the landing page.
The same film rarely does both, which is why the gap between creative strategy and placement logic costs money on both sides. When the role table is written before the production brief, the creative team knows what each asset must do before production starts.
These exist to put the brand in front of most of the category at the lowest cost per person reached. Television, connected TV, online video, audio and broad social buys usually sit here. Their proof is incremental reach among the defined audience and lift in recall or awareness.
The typical failure is judgment by the wrong metric. A conceptual example: a connected TV line bought for reach and assessed on last-click conversions will look like waste even when it does exactly its job. The role table exists to stop that misjudgment before it reaches a budget review.
These move people who already know the brand toward preference. Longer video, creator and editorial partnerships, and contextual placements belong here.
Proof is lift in consideration or purchase intent, branded search volume and qualified traffic. The common failure is sharing an asset with the reach layer, so neither job is done well.
Search, retail media, retargeting, and affiliate collect demand that already exists. Proof is incremental conversions from holdout or geo tests and cost per incremental acquisition.
Platform-attributed conversions don't count as proof. The failure mode is being credited with demand created by the layers above, then absorbing budget that should have funded them.
| Channel role | Primary job | Metric that proves it | Creative requirement | Typical failure mode |
|---|---|---|---|---|
| Reach-building | Put the brand in front of most category buyers at low cost per person | Incremental reach, recall or awareness lift | Distinctive, simple, registers without sound | Judged on last-click conversions and cut as waste |
| Consideration and demand-shaping | Move people who know the brand toward preference | Consideration or intent lift, branded search, qualified traffic | Longer formats that explain a benefit or answer an objection | Shares an asset with reach, so neither job is done |
| Conversion and capture | Collect demand that already exists | Incremental conversions from tests, cost per incremental acquisition | Specific offer, clear action, matches the landing experience | Credited with demand created elsewhere, then overfunded |
Two diagnostics follow from the table.
First, if two channels claim the same role, one is probably underfunded or redundant, and the budgeting section explains why that matters.
Second, channels bought without a role or a quality standard are where waste accumulates. A January 2024 piece by ad marketplace Picnic, published on The Drum, cited research putting 41% of overall ad spend as wasted. The underlying study isn't named, so treat it as an order of magnitude.
A smaller budget does not reduce the number of roles; it reduces the number of channels that can carry them. Collapse the three roles into two or three properly funded channels. Six channels spread across all three jobs end up at weights that cannot work.
Planning decides what, when, where, and why. Buying negotiates rates, secures placements, and manages the relationships with platforms and publishers.
That is the standard split, and it holds whether buying happens at an agency trading desk, an in-house team, or a self-serve platform console. The problem is that the line gets crossed every day by optimizations that quietly change the plan.
The planner owns the role of each channel, its budget and minimum threshold, its flighting and frequency targets, and the measurement design. These are strategy decisions because changing any of them changes what the plan is trying to do.
The buyer owns price, placement, pacing, and day-to-day optimization within the plan's ranges. Fieldtrip's guide to enterprise media buying strategies covers this side in depth.
Standardized cost metrics make this handoff legible. Cost per thousand impressions, or CPM, is the price of a thousand impressions on a site or platform, and it makes budgeting simple.
It also hides quality. Two placements at the same CPM can differ in viewability, attention, context, and audience match, so a buyer optimizing to CPM alone can move spend toward cheaper and worse inventory while reporting an efficiency gain.
Write a one-page handoff that names, for each channel:
Then apply one rule: a buying optimization may not change a channel's role or move budget between roles without returning to the plan. Platform tools, in-house teams and agency planners all blur the boundary, and self-serve consoles will recommend changes that cross it. The leader need not run the console, only own the rule.
| Media planning | Media buying | Who approves | |
|---|---|---|---|
| What is each channel for? | Sets the role and proof metric | Executes within the role | Marketing lead or planning owner |
| How much goes to each channel? | Sets budget and minimum threshold | Spends against it and reports pacing | Planning owner with finance |
| When does it run? | Sets flighting and frequency targets | Adjusts pacing and caps day to day | Planner sets, buyer adjusts within range |
| What price is acceptable? | Sets target cost ranges by role | Negotiates rates and placements | Buyer, within plan ranges |
| What can change mid-flight? | Defines allowed optimizations | Makes them and logs them | Buyer for listed changes; planner for role or budget changes |
Fund fewer channels, each above the level at which it starts to work. That is the most useful allocation rule for established brands, and it follows from Nielsen's finding that underspending costs more return than overspending.
Per the same Nielsen 2022 ROI Report, the average brand globally reinvested 3.8% of its revenue into advertising. Use that as a reference point for the opening conversation, never as a target.
It averages across industries with very different margins and purchase cycles, it draws on Nielsen's own client database, and the underlying data covers 2020–2021. Nielsen's own range is wide: most brands reinvest between 1.4% and 9.2% of revenue in media.
A challenger in a competitive category may need to spend well above it; a dominant brand in a low-churn category may spend below. The useful question is whether your total is sufficient to fund the roles your plan requires, which the next step answers.
Nielsen's underfunding finding from the introduction rests on threshold logic. Among underfunded channels, the median plan sat 52% below its optimal spend, across digital video, display, social and linear TV.
Most channels have a response curve: below some level of spend, exposure is too thin to shift anything, and return per dollar is poor. Above it, return improves until saturation.
Nielsen's figure came from its own models and client plans, so the exact share will differ for your brand, but the pattern matters more than the percentage. A channel funded below its threshold is paying for presence without effect.
A hypothetical illustrates the arithmetic. A brand splits a fixed budget across six channels at roughly equal weight. Modeling suggests four of them sit below threshold.
Cutting the two weakest and redistributing their spend lifts the remaining four above threshold, and the plan now has fewer lines, each of which can be measured.
The total did not change; the number of channels that could work did. Deciding which to cut goes back to the role table: cut the channel that duplicates a role another channel already covers, or the one whose proof metric you cannot measure.
List each channel's planned spend against the minimum you believe it needs to work. Reallocate from the ones you cannot fund properly. If that leaves a role uncovered, that is a finding about the total budget, and it is a better argument for more money than a list of underfunded lines.
No single method sets the allocation. Each answers a different question and misleads in a predictable way.
| Allocation method | Data it needs | What it is good at | Where it misleads | Decision it should inform |
|---|---|---|---|---|
| Advertising-to-revenue ratio | Revenue, category norms | Setting a first total | Treats an average as a target; ignores category and growth stage | The opening total to debate |
| CPM comparison | Rate cards, impression forecasts | Fast first pass across channels | Equates impressions of different quality and role | Shortlist of channels to fund |
| Marketing mix modeling | Two or more years of spend, sales and context data | Estimating response curves and saturation by channel | Thin data for new channels; past structure projected forward | Reallocation between established channels |
| Response curves and thresholds | Modeled or test-derived curves per channel | Showing the minimum spend for a role to work | Curves are estimates, not guarantees | Which channels to fund above threshold and which to cut |
| Judgment with stated assumptions | The above, plus the role table and creative plan | Resolving conflicts the models cannot | Unrecorded assumptions cannot be examined later | Final allocation and the tests that check it |
The revenue ratio and threshold rows draw on the Nielsen 2022 ROI Report.
Marketing mix modeling, or MMM, estimates how sales respond to spend by channel from historical data. Its promise is forecasting: a model fitted on past spend can project what a reallocated plan will return. Fieldtrip's guide to media mix modeling for enterprise marketers covers how to build one finance will trust.
CPM comparisons remain useful for the first pass because they are fast and standardized. Adjust them for role and quality before they influence a budget line: a reach channel should be compared on cost per incremental person reached, and a capture channel on cost per incremental conversion. The headline impression price comes last.
Write the measurement design into the plan, because the plan is the baseline against which results will be judged. A plan that was never written as an evaluation baseline cannot become one after the campaign ends. Measurement earns its place in the process when it changes a decision, which means it has to be scheduled to arrive while decisions are still open.
Every platform reports a return on the spend it received. Those reports share a flaw: each platform counts conversions it touched, and a buyer who purchased after seeing three channels gets counted three times.
Platform-reported return answers the question of what the platform saw. Incremental impact answers the question that matters, which is what would not have happened without the spend.
Three methods close the gap:
Each has limits: geo tests need enough regions and spend to read, holdouts are hard to run across platforms, and models inherit the biases of the data behind them. Used together, they triangulate. Used alone, any of them can be argued away.
Fieldtrip's measurement practice is built on that distinction between reported and incremental return, and on telling leaders which one a given number is.
This also answers the trust question. Before acting on plan data, ask who produced it, whether the producer benefits from the answer, and whether an independent test agrees.
A platform's lift study and a geo test that point the same way deserve more confidence than either alone. When they disagree, the disagreement is the finding.
Add a measurement design page to the plan with four entries:
The last entry matters most, because it closes the third handoff. If no one is named, results get discussed and the plan stays as it was.
The loop also exists to catch the underfunding problem early. A channel sitting below its threshold shows up within weeks as thin reach or a flat proof metric.
Found in week four, it can be cut or topped up. Found in a year-end review, it has already absorbed its budget.
Not every signal justifies a change. Pacing variance, auction price swings and short-term platform fluctuations belong to the buyer within the handoff rules.
Three signals justify returning to the plan:
Everything else waits for the quarterly re-forecast, where MMM output, test results and the next period's objectives are reconciled into a revised plan. Plans that change weekly on platform signals end up steered by the channels they were meant to evaluate.
Fieldtrip runs the media planning process as one loop, with a named owner at each handoff. That owner can sit in-house, at an agency or across both, and the structure matters less than the clarity.
This is how Fieldtrip is set up to work. The group connects small specialist teams across strategy, creative, media and measurement, each close to its own execution, with shared strategy so their decisions stay coherent. Engagements can begin with one defined problem and fit alongside existing internal teams and agency partners.
A conceptual example: a brand with a strong in-house buying team and no measurement design does not need a new buying team. It needs the loop added, with the measurement owner named, and the buyers left to do what they do well.
Start with the weakest of the three handoffs in your current plan and give it an owner before the next planning cycle.
If you want to talk through how a specialist media team can work alongside your existing planners and buyers, see how Fieldtrip handles media planning and buying.
Cut a channel rather than trim all of them. Identify the channel that duplicates a role another channel already covers, or whose proof metric you cannot measure, and move its budget to lift an underfunded channel above its threshold. A plan with fewer lines that each work beats a plan with more lines that each almost work.
Set two targets, one per objective, and assign them to different channels or flights. The Meta study discussed in the steps section showed that recall and purchase intent stopped responding at different exposure levels, so one target will overserve one goal and starve the other. Treat the specific thresholds as historical and test your own.
The client-side marketing lead owns the brief, because the translation from business objective to media objective is a commercial decision. The agency or internal planning team can draft it, but sign-off and the three handoff owners should be named by the person accountable for the business result.
Three signals: a proof metric flat after enough spend to read it, an incrementality test contradicting platform-reported return by a wide margin, or a change in the business objective. Pacing and auction noise stay with the buyer under the handoff rules.
Expect them to disagree, since platforms count what they touched and models estimate contribution. Use a geo or holdout test on the channel where the gap is widest as the tiebreaker, then adjust the model's priors and the platform's credit accordingly. Where no test is possible, weight the model and record the assumption.
Probably not directly. It is a 2022 global average across Nielsen's client base and hides wide variation by margin, competition and growth stage. Use it to open the conversation about the total, then set the figure from the roles your plan needs funded above threshold.
