Marketing dashboards that lead to decisions
Are we generating enough qualified pipeline? Is it converting into revenue? Are we spending effectively and building demand for the future?
I use three connected views to answer those questions: one for executive leadership, one for Marketing leadership, and one for the people doing the work. Each makes progress visible, explains the important signals, and identifies what to do next.
The examples and downloadable scorecards here are a starting point for sales-led B2B software companies. Take what helps, adapt it to your business, and make it your own.
Executive View: Are we on track?
Lead with a headline someone could put into a board deck: the result or outlook, its comparison, and its implication. Make material exceptions and decisions just as visible.
Start with growth against plan, qualified pipeline creation, pipeline coverage, conversion, and acquisition economics. Add Share of Search or Share of Voice with owned metrics like direct traffic or branded search volume to measure brand, alongside changes in customers, competitors, and buying conditions. Interpret these as complementary indicators, with their limits visible.
These are shared business outcomes. Marketing interprets them with Sales, Finance, Product, and Customer Success.
Marketing leadership: Where should we focus?
Connect performance across programs and audiences. Show spend versus plan, qualified pipeline creation, opportunity quality and progression, acquisition and conversion, and brand and discovery signals.
Include the comparisons that explain a choice. Keep the headline, exceptions, and recommended response easy to scan.
Operating teams: What changes in the work?
Organize this view around the work, rather than a prescribed department structure. A small team may combine responsibilities; a larger organization may split by audience or region where that changes a decision or its owner.
For campaigns and demand generation, useful signals include qualification rate, program cost per qualified opportunity, follow-up time, and opportunity progress. Monitor traffic, response rates such as CTR, and conversions on an ongoing basis as leading indicators of performance and to diagnose problems closer to their source.
Other work uses the same format: objective, a few useful signals, action, owner, and escalation. Positioning may need buyer feedback; a launch may need readiness and dependency tracking.
Keep the numbers connected to reality
I don't use MQL volume or similar measurements as evidence of marketing success. Why? If I arbitrarily increase the points assigned to webinar attendance, for example, I can double the MQL metric without creating a single additional interested buyer. I look for evidence of declared buying intent and progress toward a purchase, rather than an improvement in a score we control.
Every sales motion needs its own qualification standard. Use concrete, observable characteristics, quantify them where meaningful, and record the evidence. A documented need and a buyer-agreed next step might qualify an opportunity in one motion; verified product usage and an expansion need may matter in another.
Use consistent definitions and comparisons. Distinguish actual results from forecasts, new pipeline from the outstanding balance, and observed patterns from proven causes. Share of Search is a proxy for relative brand interest; sparse data should stay visible as a limitation.
A note on AI discovery
LLM visibility, often discussed under AEO or GEO, is useful to monitor. As of September 2026, I treat it as directional evidence: third-party coverage and reputation matter, alongside accessible, useful website content. Document what you measure, and avoid treating visibility scores as proof of business impact.
See it in practice, then make it yours
I created a fictional example to show how you can apply this in the real world. I start with the company's Executive View—a board-level scorecard—showing how a growth gap leads to a closer look at a customer-segment test. As you follow the dashboards from the board to individual contributors and back up, you can see how Marketing and team findings inform investment decisions.
The downloadable workbook includes named starting measures for all three levels, space for comparisons and interpretation, and clear action ownership. Open it in Excel or import it into Google Sheets. Supporting definitions are available separately, so they don't overwhelm the review.
Keep the measures that help you make decisions. Change what doesn't fit. If you find a better way to make this useful, I'd like to hear about it.