7 dashboards every marketing and sales operation should have
7 marketing and sales dashboards, each presented by the question it answers and the decision it unlocks.
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5 min read

A good dashboard is not the one that shows the most charts, it is the one that answers a question. That is the difference between a dashboard the team opens every Monday and another that nobody has looked at since the week it was built.
We have already explained what a marketing and sales dashboard is and what it is for. Here the list is practical: seven dashboards, each presented by the question it answers and the decision it unlocks.
A word on scope before we begin. You are not meant to build all seven at once. Most operations do well with two or three well-used marketing dashboards, and the others come in as the question arises. Start with one, use it for a month, and only then add the next.
1. Acquisition: where do leads come from?
Answers which channel, campaign, and content bring new people into the database, and in what volume.
The decision it unlocks: where to expand or cut acquisition effort. It is the most consulted dashboard in operations that invest in media, and the most sensitive to UTM standards, because a channel written two ways becomes two lines.
What not to put here: lead quality metrics. They belong to the funnel dashboard, and mixing the two turns the acquisition reading into a discussion about sales.
2. Funnel: where do leads stop?
Answers how many leads move from one stage to the next and where the passage gets stuck.
The decision it unlocks: where to invest process effort. A drop between "contact made" and "meeting scheduled" is an approach problem. A drop between lead and contact made is a response time problem.
An important caution: this dashboard is only reliable when the stages have objective criteria for changing. A stage that changes by gut feeling produces a pretty chart and the wrong conclusion.
3. Paid media: how much does each stage cost?
Answers the cost per lead, per opportunity, and per sale, broken down by channel and campaign.
The decision it unlocks: budget reallocation. This is where you discover that the channel with the cheapest cost per lead has the most expensive cost per sale, which flips the entire ranking.
What it requires: that sales data come back from the CRM. Without it, the dashboard stops at cost per lead and repeats what the ads manager already shows.
Resource · In PortuguesePrompt Guide for Marketing and Sales70 prompts with questions about marketing, sales and behavior to ask your data.Download the guide
4. Sales performance: what is the team doing with the lead?
Answers how many leads were handled, how quickly, and how many remained stalled.
The decision it unlocks: workload distribution and the day's priorities. A lead stuck at the same stage for two weeks is the most actionable item in any operation, and it is almost never visible.
A note on coexistence: this dashboard steps into sales territory. It is worth building with sales leadership, or it becomes a tool for chasing people and the team starts filling in the CRM for the dashboard, not for the operation.
5. Revenue: what came back?
Answers how much revenue, not leads, each channel, campaign, and product generated.
The decision it unlocks: practically all budget decisions. It is the dashboard that leadership understands without translation, because it speaks in currency.
Why it is the rarest of the seven: it requires the deal value to be linked to the lead's source, which only happens when marketing and CRM talk to each other in the same database.
6. Website behavior: who is ready?
Answers who visited which pages, how often, and how long ago.
The decision it unlocks: contact prioritization. Someone who returned to the pricing page three times in the past week is a name for sales today, not at the end of the month.
The difference that matters: here what matters is behavior per person, not total visits. You already have aggregate website metrics in analytics.
7. Executive view: the summary that supports the decision
Answers, on one screen, how the month is going: how much came in, how much it cost, how much turned into revenue, and how that compares to the previous period.
The decision it unlocks: budget approval, hiring, changing a target.
The building rule: four to six numbers, one comparison, and nothing more. Every time someone asks to add one more chart to this dashboard, the right answer is usually to create another dashboard.
It is worth remembering that these last three levels, from operational to strategic, are a classic division of dashboards. HubSpot's material on dashboards organizes the same logic into operational, tactical, and strategic, and the idea is the same: the format changes according to the decision the person makes.
How to choose where to start
Start with the dashboard that answers the question that disrupts your week the most. If the meeting stalls arguing about where leads come from, start with number 1. If it stalls arguing about what sales did with them, start with number 4.
All seven dashboards depend on the same database, and that is what separates the operation that builds one dashboard from the one that builds seven. When media, forms, and CRM arrive organized in the same place, the next dashboard costs an afternoon. When each one comes from a different export, the second dashboard is already not sustainable.
Laiki's marketing dashboards work in this format, with Profile view so the same data appears dense for the analyst and summarized for leadership.
Frequently asked questions
How many marketing dashboards does an operation need?
Fewer than it seems. Three well-used ones are worth more than seven abandoned ones. The practical rule is to have one dashboard per recurring question, and retire the ones nobody has opened in a month.
What is the difference between a dashboard and a report?
The dashboard answers the recurring metric, always in the same way. The report answers the one-off question, with context and a written conclusion. Both read the same database and serve different moments.
Can I build these dashboards in Looker Studio or Power BI?
Yes, and many operations do. The heavy lifting is not in the visualization tool, but in having marketing and sales data already unified behind it. A dashboard tool does not fix a messy database.


