SimplifiedDashboards
Real Estate CoachingRevenue change · +32% revenue

Four Months to Trust the Numbers Again.

Five dashboards in four months, built on the source-to-cash pipeline underneath them. Here's what made this one stick.

Revenue change

+32% revenue

Fig. A.06 — The dashboard stack
Average order value drawn to scale: a short bar for $413 above a much longer bar for $3,510, both the same height and both measured from the same left edge. Beneath it, the five dashboards built for this client — Setter Performance, Closer Performance, Executive Overview, Marketing Attribution and Finance — sitting above a rule broken into the four months of the build. A closing ledger row records a +32% revenue change, 1.33x blended ROAS on $23,845 a month in tracked spend, and about three hours a month of ongoing client time.AVERAGE ORDER VALUEBARS DRAWN TO SCALEBEFORE$413AFTER$3,510FIVE DASHBOARDS01SETTER PERFORMANCE02CLOSER PERFORMANCE03EXECUTIVE OVERVIEW04MARKETING ATTRIBUTION05FINANCEBUILD SPANFOUR MONTHSTHE AFTER+32%REVENUE CHANGE1.33xBLENDED ROASON $23,845/MO TRACKED SPEND~3HRS/MONTHONGOING CLIENT TIME
Five dashboards on one pipeline — and an average order value that moved from $413 to $3,510.

The Setup

The same real estate coaching company. By this point we'd fixed duplicates, fixed the pipeline logic, and fixed the status chaos. The CEO wanted the full executive dashboard — not pieces, not partial views, the whole revenue engine in one place.

The Problem

A dashboard is accurate the day it ships. The business it describes is not still. New offers, new channels, new rep structures, new payment processors — every one of them changes the model underneath the numbers. If nobody owns the model, the dashboard drifts, and the ops team quietly stops opening it.

What We Found

That is the failure we are hired to prevent: not a build problem, an ownership problem. A dashboard delivers a snapshot of truth at a moment in time, and then it gets handed to someone who doesn't have the time, skills, or authority to maintain it. Dashboards degrade not because they were built wrong, but because nothing on the business side stays still and nothing on the data side keeps up.

The CEO didn't need another deliverable. He needed a team that was on-call for his data the same way his accountant was on-call for his books.

What We Built

Five dashboards, over four months, built on the source-to-cash pipeline we'd architected in the earlier engagements.

Setter Performance — bookings, show rates, no-show recovery, per-source.

Closer Performance — close rate, revenue per appointment, offer mix, time-on-call, commission-to-date.

Executive Overview — the CEO's morning view. One scroll. Lead volume, cash collected, CAC by channel, gross margin after refunds.

Marketing Attribution — true blended ROAS by channel, net of refunds and chargebacks.

Finance — cash-collected reconciliation, refund tracking, accrual view, commission liability.

Every dashboard is live. None of them require exports. When the business launches a new offer, we update the model before the dashboards break, because we're watching.

The After

Revenue changed by +32%. Average order value moved from $413 to $3,510. Blended ROAS on $23,845/month in tracked spend was 1.33x — a number the CEO could make capital-allocation decisions against.

The difference this time wasn't the dashboards. It was the retainer. When the client adds a payment processor, we build the integration. When they restructure commission tiers, we update the rules. When marketing wants a new cohort view, we ship it.

Ongoing client time: about three hours a month.

Closing

The dashboards from the original four-month build are still the dashboards they open every morning — because we've kept them current. The difference wasn't the code. It was that we never left.

Want this for your business?

Want this for your own numbers?

No pitch and no deck. Thirty minutes that ends with a clear picture of what we would build for you and what it involves.

Book a 30-minute Revenue Leak Check

More from the engagements

All case studies
  1. 01

    The Commission Cycle Took 20 Days. Reps Didn't Know What They'd Earned Until the 20th.

    A 50-rep coaching company. A commission system built on five spreadsheets and three people who all had to agree.

    Read the case study

    Commission cycle

    20 days → 1

  2. 02

    1 in 3 Leads Was a Duplicate. Nobody Knew.

    One in three leads in a 60,000-lead CRM was a duplicate — so close rate, cost per lead and conversion were all wrong at the same time. Here's how we found it, and what changed after.

    Read the case study

    Phantom pipeline

    33%