Competitive Marketing Analysis in Power BI - What the Sample Report Teaches About Real Marketing Dashboards

Marketing teams are usually swimming in data and starving for a clear picture. There is the CRM, the ad platforms, the web analytics, the sales figures, and somewhere in there is the question the marketing director actually cares about: are we winning or losing against the competition, and where. Most marketing dashboards I see answer the first half and completely dodge the second. They tell you how you did. They say nothing about how you did relative to the market, which is the part that decides budgets.

Power BI ships a sample report called Competitive Marketing Analysis, and it is worth pulling apart, not because you would ever hand the sample itself to a client, but because the structure underneath it gets a few things right that most homegrown marketing dashboards get wrong. Microsoft's Competitive Marketing Analysis sample documentation walks through how to load it and what is in it. I want to talk about what the design teaches, and where I would push a real client dashboard further than the sample goes.

The sample in one paragraph

The Competitive Marketing Analysis sample is built around a fictional manufacturing company selling into a market with several named competitors, across product categories and geographies over time. It tracks things like market share, sales performance by category, and how the company stacks up against its rivals region by region. It is one of the polished samples Microsoft uses to show off report design, so it looks the part, with a clean layout and a sensible flow from headline to detail. The data is invented, but the shape of the questions it answers is exactly the shape real marketing leaders ask.

The reason it is a useful teaching tool is that it forces the report to hold two things at once: your own performance, and the market context around it. That dual structure is the whole game in competitive analysis, and it is precisely what most real dashboards leave out because it is harder to build.

Market share is the number that changes the conversation

The single most valuable thing the sample models is market share, and this is worth dwelling on because it is where most marketing reporting is weakest. It is easy to report that sales grew eight percent. It sounds like good news. But if the market grew twelve percent, you lost share, and the eight percent is actually a warning sign dressed up as a win. A dashboard that only shows your own numbers cannot tell you which of those two stories is true, and that difference is the entire point of competitive analysis.

To build market share properly you need external market data, not just your own sales, and that is the unglamorous hard part the sample glosses over by having the data pre-loaded. In the real world, getting reliable competitor and total-market figures is the actual project. It comes from industry bodies, purchased market research, distributor data, sometimes modelled estimates. The visual is trivial once you have the data. Getting trustworthy market-size data into the model is where the real work and the real cost sits, and any competitive dashboard project should budget for that up front rather than assuming the numbers are lying around.

When we scope this kind of reporting for clients, the first conversation is always about data sources, not visuals, because a beautiful market-share chart built on a wild guess of total market size is worse than no chart, it is a confident wrong answer that people will make decisions on. Sorting out where credible external data comes from, and how often it refreshes, is the part our Power BI consultants spend the most time on with a competitive dashboard, and it is the part that determines whether the whole thing is trustworthy.

The structure worth copying

Set the data aside and look at how the sample lays out the story, because the flow is genuinely good and it is the transferable lesson.

It starts high, with overall market position and share, the one-glance answer to "are we winning". Then it breaks down by the dimensions that explain that headline: by product category, by region, by competitor. A viewer who only wants the top-line gets it immediately, and a viewer who wants to know why can follow the breakdown down to the specific category in the specific region where share is slipping. That layered structure, headline first then progressively more detail, is the same principle behind every good report regardless of subject, and the sample is a clean example of it applied to marketing.

The competitor comparison views are the other bit worth stealing. Rather than showing your performance in isolation, the sample repeatedly frames your numbers next to the competition, so every metric carries its context. That reframing, from "how did we do" to "how did we do versus them", is a small design decision that changes how the whole report reads. It nudges the viewer toward the relative question, which is the one that actually matters for a marketing budget conversation.

Where I would push past the sample

The sample is a demo, so it is naturally a bit static and tidy in a way real business never is. If I were building this for an actual client, a few things would change.

First, it needs to answer "so what do we do about it". Showing that you are losing share in a category is diagnosis, and diagnosis without a next step just creates anxiety. A real dashboard should make it easy to drill from "share is down in this region" to the underlying drivers, pricing, distribution, campaign activity, so the marketing team can act rather than just worry. The sample stops at the diagnosis. A production report should hand the user the next question.

Second, the time dimension deserves more weight than samples usually give it. Market share is only meaningful as a trend. A single snapshot of "we hold 22 percent" tells you almost nothing. Twenty-two percent and falling for three quarters is an emergency, twenty-two percent and climbing is a success story, and it is the same number. Real competitive dashboards should lead with the direction of travel, not the current level, and I would build the report to make the trend the hero.

Third, and this is the 2026 reality, competitive intelligence is increasingly something you can partly automate. A lot of competitor signal now lives in public data, pricing pages, job ads, product announcements, review volumes, and pulling that in gives you a fresher picture than waiting on quarterly market research. This is where marketing dashboards are heading, blending the structured market-share data the sample models with softer, more frequent signals gathered automatically. That blend of classic BI and AI-driven data gathering is a chunk of what our AI for marketing work is actually about, and it is what takes a competitive dashboard from a quarterly retrospective to something closer to an early-warning system.

The honest caveat about samples in general

I will say the thing about all the Power BI samples, because it applies here. They are excellent for learning the tool and for seeing what a well-structured report looks like. They are a terrible template to copy directly onto your own data, because their whole design is shaped around a clean, invented dataset that behaves itself. Your data will not behave. Your categories will not map neatly, your regions will have gaps, your market data will be patchy and late, and half the effort in a real build is handling exactly the mess the sample was designed to avoid.

So use the Competitive Marketing Analysis sample the right way. Load it, click around it, study how it moves from headline to detail and how it keeps the competitor comparison front and centre. Take the structure. Then throw away the assumption that your build will be that clean, because it will not, and the difference between the two is the actual project. Getting from a nice-looking sample to a dashboard your marketing team trusts and runs on is the work, and it is the kind of thing we do across our broader business intelligence engagements.

The short version

The Competitive Marketing Analysis sample is worth studying for its structure, headline market position first, then a breakdown by category, region and competitor, with your numbers always framed against the market rather than in isolation. Its most important idea is market share, because your own sales growth is meaningless without knowing whether the market grew faster. The catch the sample hides is that getting credible external market data is the hard, expensive part, and the visuals are the easy part once you have it. For a real build, lead with the trend not the snapshot, make it drill toward action not just diagnosis, and consider blending automated competitor signals into the picture. Copy the sample's structure, not its tidiness, because your data will never be that polite.

If your marketing reporting tells you how you did but not how you did against the market, that blind spot is worth fixing properly. Have a look at our services or get in touch and tell us what data you have and what you wish it could tell you.