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Which KPIs a Sales Dashboard Should Show

· By the from Analytics teamUpdated Chat on WhatsApp

A dashboard nobody opens is not a dashboard

Almost every sales team has one. It usually starts with good intentions: someone puts the month's sales, the open opportunities, each rep's calls and a dozen other charts on one screen. Three months later, only the person who built it still opens it.

It is not a tool problem. It happens in Power BI, Looker Studio and Tableau alike. It happens because the dashboard tries to answer every question at once, and in the end it answers none of them as quickly as the person who has to decide something that same morning needs.

The way to avoid it is to start from decisions, not from data: what the sales director decides every week, what each rep decides every day, and what the leadership team decides every month. Each KPI has to serve one of those decisions. If it serves none, it goes.

The KPIs that almost always belong

Sales against target
What was closed in the period compared with the plan, by team and by rep. It is the first question in any meeting and must be answered at a glance.
Weighted pipeline
The value of open opportunities multiplied by the probability of each stage. It tells you whether next quarter is achievable before it starts.
Stage conversion
The share of opportunities that moves from each stage to the next. It shows where deals are lost: at the first meeting, at the proposal or in negotiation.
Sales cycle
The days an opportunity takes from creation until it is won or lost. If it gets longer, something has changed in the market or in the process.
Average deal size
The average value of what is won. Together with conversion, it explains almost any rise or fall in sales.
Customer acquisition cost
What it costs to win a new customer, adding marketing spend and sales time. Without it, you cannot tell whether growth pays off.

What usually doesn't belong

Activity metrics —calls, emails, meetings— help each rep organise their week, but on the leadership dashboard they tend to add noise. They reward being busy, not selling.

Charts that only change once a year, charts that repeat the same figure in another format and charts that need an explanation also go. A good test is to show it to someone on the team without saying anything: if in ten seconds they cannot tell whether the month is going well or badly, something has to be removed.

One definition for each number

The most expensive mistake in a sales dashboard is not on the screen; it is underneath. If the CRM counts a won opportunity as a sale, accounting counts the issued invoice and marketing counts the form submission, every meeting starts with an argument about whose figure is right.

That is why each KPI should be defined once, in writing and in a single place: what a sale is, which date it counts on, what an active customer is, when an opportunity is considered lost. Ideally those definitions live in the data model —in a data warehouse such as BigQuery, Snowflake or Fabric— and not in each report, so every tool reads the same thing.

How to build it without getting lost

  1. 1
    List the decisions
    What each person decides and how often. The KPIs come from there, not the other way round.
  2. 2
    Define each metric
    In writing, with its formula and reference date, agreed by sales, marketing and finance.
  3. 3
    Put the sources in order
    CRM, ERP and campaigns in one place, with the same customer and product keys.
  4. 4
    A short first version
    Six or eight indicators, not forty. Add more when someone genuinely misses something.
  5. 5
    Review after three months
    Remove what nobody looked at; add what people kept asking for in spreadsheets.

Frequently asked questions about sales dashboards

How many KPIs should a sales dashboard have?

For leadership, between six and ten. The details go in separate reports linked from the main one.

How often should it refresh?

Once a day is usual. Real time is only needed if someone makes decisions in real time.

Is a spreadsheet enough?

To start with, yes. It falls short when there are several sources, several users or you need to control who sees what.

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