Excel, YourValidator, or Enterprise-MMM software?
A Comparison of the Three Approaches to Marketing Budget Planning
Decision guide · Marketing budget planning for SMBs, agencies and consultants
Planning and measurement answer different questions. Planning asks what has to hold under your assumptions. Measurement asks what actually worked. This guide shows which approach fits which question - and your data, budget and team.
Planning · manual
Excel / spreadsheet
Budget and channel planning with your own formulas and assumptions.
For SMBs with individual, mostly static planning needs.
Planning · structured
YourValidator
Deterministic budget and scenario planning in the browser. Works without your own data history: benchmarks serve as starting values that you replace with figures from your CRM and dashboards.
For SMBs and agencies that want to make budget and channel assumptions explicit before money is committed.
Measurement · causal
Marketing mix modeling (MMM)
Statistical estimation of what each channel contributed, based on your own historical data, run by a team that refreshes the model regularly.
For companies with a long, clean data history, substantial media spend across several channels and analytical capacity.
Important contextYourValidator is a planning layer, not a measurement tool. It shows which assumptions lead to which result - not what will happen and not what has worked. The calculation logic is deterministic and transparent. The optional AI function (Pro, with your own API key) helps fill in input fields; it does not compute the results.
01
A quick reality check
Answer these questions Yes or No before choosing a method.
- Do clean, harmonised weekly marketing, sales and financial data exist for several years?
- Do we need causal evidence (incremental effects per channel) based on our own data?
- Will the results be built into P&L, sales, pricing and revenue steering?
- Is an analytics team available for continuous model refreshes?
- Is there budget for an MMM platform, a specialist provider or an in-house data science team?
- Is media spend large enough, and varied enough across channels and weeks, for a model to separate effects?
02
Head-to-head: YourValidator vs. classic Excel planning
| Criterion | YourValidator (browser tool) | Classic Excel planning |
|---|---|---|
| Method | Deterministic, parameterisable model logic; benchmarks as replaceable starting values; seasonality, saturation, carryover and cross-channel effects built in; reproducible. | Depends entirely on your own formulas; manual chaining is prone to errors; no common model structure. |
| Type of output | Budget and channel scenarios with visualised results: leads, customers, contribution margin, break-even, customer value. | Free-form planning; structure and method differ from file to file. |
| Ease of use | Ready to use immediately, no sign-up. Optional AI help can pre-fill channels and assumptions (Pro). | Familiar, but setup is manual: formulas, pivots and charts built by hand. |
| Data effort | Low - works without your own data history; your CRM and dashboard figures replace the starting values as they become available. | Medium to high - data collected, cleaned and fitted into a table structure by hand. |
| Scenario planning | Budget, seasonality and saturation parameters can be changed and recalculated in seconds. | Possible, but every change means manual adjustment. |
| Transparency | Every parameter is visible and editable; results show which assumption drives which outcome. | Fully transparent - and only as good as your own modelling. |
| Data protection | Runs entirely in the browser; no data stored on external servers, no IT integration needed. | Local; collaboration usually via files and email. |
| Cost | Calculating is free. Pro from $17/month. | No licence cost; time for setup and maintenance. |
| Scalability | Unlimited custom channels; embed option for agencies (Embed licence). | Limited by table structure and manual upkeep. |
| Working together | Built for live presentation (own logo, full view); scenarios shareable via backup file (Pro). | Versions traded as attachments. |
The objective limitNeither Excel nor YourValidator replaces a causal MMM on your own data history. Both provide decision inputs and hypotheses, not evidence of what worked.
03
Where YourValidator fits
YourValidator works before measurement: in the phase where you plan, pitch and approve budgets - often before there is enough first-party data for a statistical model at all.
- Structure instead of a blank sheet. Budget, channels and scenarios follow one consistent structure from the start.
- Assumptions before commitment. Whoever approves the budget can see and change the assumptions behind it - including the business case for a later MMM or consulting engagement.
- Planning, not measurement. An upstream layer for budget decisions, not a replacement for an MMM programme.
Agency or SMB - the need is the same
At first glance, agencies and SMBs sit on opposite sides of the table. At their core, though, both want the same thing: strategic competence and traceability. The agency wants to show the reasoning behind its budget and channel recommendation in the client meeting, rather than simply assert it. The SMB wants to understand what its money is being spent on before it flows - not only afterwards.
In shortTraceability isn't a feature for one audience - it's what makes advice and decisions dependable in the first place.
04
When YourValidator is the right choice
Applies when at least four of the following are true.
- You need a structured budget and channel hypothesis within hours or days - not historical causal evidence.
- Historical data isn't harmonised yet, or doesn't cover enough weeks for a statistical model.
- The team wants to discuss seasonality, saturation, cross-channel effects and budget alternatives openly.
- The business case for an MMM platform or a consulting engagement hasn't been worked out yet.
- Marketing plans largely on its own; sales and finance supply framework assumptions rather than integrated daily data.
- A lean, browser-based solution is preferred over a data-intensive managed service.
- You want to start without data integration and without an implementation project.
05
When Excel is no longer enough
If several of these apply, a structured planning tool is worth considering.
- Scenarios must be compared in minutes rather than hours.
- Different stakeholders (marketing, agency, management) should work from the same basis.
- Plans must be repeatable, traceable and easy to update.
- Saturation, carryover and seasonal effects should be modelled consistently.
- Results need to be presented live to management, a client or investors.
06
When MMM becomes necessary
- Causal evidence of incremental effects per channel, based on your own data, is required.
- Media spend is substantial and varies enough across channels and weeks for a model to separate effects.
- Several years of clean weekly data across the relevant channels exist.
- Results are to be built into P&L, sales, pricing and revenue steering.
- A dedicated analytics team runs continuous model refreshes.
How much data, for orientationGoogle's documentation for its open-source MMM Meridian describes two years of weekly data for a national model with around 25 effects as too little; with three years and fewer effects, results may become directional (Meridian: Amount of data needed). Open-source frameworks such as Meridian, Meta Robyn and PyMC-Marketing are licence-free but require a statistically capable team and considerable data preparation. Google's earlier LightweightMMM is no longer supported; Google names Meridian as its successor.
07
Cost and effort - start at $0
| Aspect | Excel (manual) | YourValidator |
|---|---|---|
| Licence cost | $0 | Calculating free; Pro from $17/month |
| Time to first result | Hours to days | Minutes |
| Formula maintenance | Manual, every time the plan changes | None - the model logic is built in |
| Presentation | Charts built by hand | Visualised results, own logo, full view for live presentation |
Free and ProCalculating is free and needs no sign-up: channels with benchmarks as starting values, saturation, carryover, seasonality, break-even, target back-calculation, customer lifetime value, manual budget shifts, own logo and full view. Pro adds saving and comparing plans, plan vs. actual, backups, CRM import, JSON and PDF export and the AI functions with your own API key (BYOK).
Worked example: time spent vs. Excel
| Budget-planning phase | Excel (manual) | YourValidator |
|---|---|---|
| Collecting & preparing data | 3.0 hrs | 0.5 hrs |
| Modelling (saturation, seasonality) | 4.0 hrs | 0.5 hrs |
| Visualisation / management-ready | 2.0 hrs | 0.0 hrs |
| Scenario comparison (what-if) | 2.0 hrs | 0.2 hrs |
| Total per project | 11.0 hrs | 1.2 hrs |
Assumed values, not measurementsAt an assumed fully-loaded hourly rate of $85, a difference of 9.8 hours per project would equal about $833. Replace the hours and the rate with your own - the comparison is only as good as the figures you put in.
08
Recommendation for SMBs
Summary
Excel and YourValidator are planning tools; MMM is a measurement method. YourValidator makes budget and channel assumptions explicit and calculates them deterministically and transparently - without data integration, so the people who approve a budget can see what it depends on.
Where causal evidence on your own data history is required, MMM remains the methodologically appropriate approach.