Case study · Amazon FBA Coaching

AbuvThePar, $400K → $1.7M / month.

When they came to us they were at $400K a month. After we cleaned up their data and showed them true attribution across the company, they made strategic decisions and four months later hit $1.7M a month.

01

AbuvThePar

IndustryAmazon FBA CoachingRuntime9:04Result$400K → $1.7M
Case study9:04

When they came to us they were at $400K a month. After we cleaned up their data and showed them true attribution across the company, they made strategic decisions and four months later hit $1.7M a month.

Before BrightBoard

AbuvThePar had no way to see what was happening day to day on their sales team. They could not tell which closers were making money, which calendars were working, or how many people were actually showing up to calls in real time. The data was out there but it took hours, sometimes days, to pull into one answer. By the time they had it, a week had passed and the numbers were already old.

What changed

Five tools and no source of truth. Hyros tracked their ads. GoHighLevel held their CRM and bookings. Calendly ran their scheduling. Their payment processors fed sales into a Slack channel where someone grabbed every one by hand at the end of the day. Every tool had a different number for the same month. We made the numbers match, then made them live, then made them readable.

Outcomes
  • $400K → $1.7M / month in 4 months
  • Real-time visibility across closers, calendars, and show-up rate
  • One source of truth across Hyros, GHL, Calendly, and payment processors
The problem

No way to see what was really happening.

  • Zero visibility across the sales teamAbuvThePar had no way to see what was happening day to day in their sales team. They could not tell which closers were making money. They could not tell which calendars were working. They could not tell how many people were actually showing up to calls in real time. The data was out there, but it took hours and sometimes days to pull into one answer. By the time they had it, a week had passed and the numbers were already old.
  • Five tools, no source of truthHyros tracked their ads. GoHighLevel held their CRM and bookings. Calendly ran their scheduling. Their payment processors fed sales into a Slack channel, where someone on the team had to grab every single one by hand at the end of each day and copy them into a spreadsheet. Every tool had a different number for the same month. Nobody owned the job of making them match, so nobody could say which number was right.
  • No single owner of the dataThis was the deeper problem. When five tools say different things and no one person is in charge of the right number, decisions get made on whatever number sounds best. That is how a business runs without knowing it is flying blind.
  • Cost of inactionEvery week they could not see where their money was coming from, they were spending too much on things that did not work and not enough on things that did. Ad spend, closer pay, and calendar time all move every week. The gap between what they thought was happening and what was really happening grew fast.
First 30 days

From blind spots to one place.

In the first month after BrightBoard went live, their data went from spread out to all in one place. Here is what changed compared to the month before we started.

MetricBeforeMonth 1Change
Sales manager hours on data each week20 to 30 hrs~3 hrs-85%
Data mismatches between tools each week3 to 50-100%
Closer profit visibilityNonePer-closer
Calendar performance visibilityNonePer-calendar
Cash collected per call (CCPC)DelayedLive
True show rateDelayedMeasured

In 30 days, their sales manager went from burning 20 to 30 hours a week on data to spending under 30 minutes a day on a quick check. Every number they had been guessing at became something they could see, live, from one place.

What BrightBoard exposed

Three things they could not see before.

Once they could see them, they acted. Here is what came out of the data.

  • Closer profitThey had no way to tell which closers were making money for the business and which ones were costing it, once you factored in lead cost. The leaderboard showed them, ranked by closed revenue, who was carrying the team and who needed coaching.
  • Calendar performanceThey had no idea how many leads each calendar was bringing in, how those leads were closing, or how that compared across the team. BrightBoard broke down show rate, close rate, and revenue by calendar. They could finally see which calendar setups were really working.
  • Closer and calendar togetherOnce they could see both at the same time, they spotted something useful. Some closers did much better on certain calendars than others. Moving leads around based on that alone got them more sales without hiring anyone new.
Strategy

What we fixed.

  1. 01
    Killed the 5-tool stitch

    Built one database that holds every lead, booking, call, sale, and ad source in one place. Pulled Hyros, GoHighLevel, Calendly, the payment processors, and the by-hand spreadsheet into one place. No more fighting about whose number is right.

  2. 02
    Killed the by-hand work

    The sales manager used to spend 20 to 30 hours a week just trying to make the numbers match. Now they spend less than 30 minutes a day. Mismatches between tools went from 3 to 5 a week to zero.

  3. 03
    Built the views they did not have

    Once the data was in one place, we built the views that showed them what they had been blind to. Closer leaderboard, CCPC, calendar performance, true show rate. Every number they had been guessing at became something they could see.

How we fixed it.

  1. 01
    Database first

    We started at the database, not the dashboard. Most agencies do it the other way around, and that is why their dashboards lie. Once the data is right, the dashboard is the easy part.

  2. 02
    Ingestion layer

    Pulls from GoHighLevel, Calendly, Hyros, and the payment processors on its own. Built-in checks stop bad data from getting through. The sales team stopped touching spreadsheets.

  3. 03
    Multi-view dashboard

    Every person on the team (founder, ad buyer, closer, setter, bookkeeper) logs into the same numbers. Same source. Same truth. The closer leaderboard updates live as deals close.

Results

Month 4 vs Month 0.

These numbers come straight from the BrightBoard dashboard.

MetricBefore (Aug)Month 4 (Jan)Change
Monthly revenue$483,500$1,706,700+253%
Cash collected$422,500$1,661,400+293%
Cash collected per call (CCPC)$661$952+44%
Booked calls6391,745+173%
Closed deals83296+257%
Close rate28.82%34.1%+5.3 pts
Show rate45.07%52.8%+7.7 pts

Bottom line.

  • + $1,223,200 in monthly revenue (from $483,500 to $1,706,700)
  • + 1,106 additional booked calls per month
  • + 213 additional closed deals per month
  • + $291 in cash collected per call ($661 to $952)
  • Investment recovered multiple times over in month one
Other impacts

Beyond the dashboard.

  • Time savedThe sales manager went from 20 to 30 hours a week on data to less than 30 minutes a day. For a business doing this kind of volume, those saved hours go straight back into selling instead of spreadsheet work.
  • Team on the same pageMonday meetings shifted from 'what do we think happened last week' to 'here is what the data says, now what do we do.' Closers stopped fighting about lead quality because everyone sees the same numbers from the same place. The leaderboard view alone changed the energy on the floor.
  • Decisions made with confidenceSeven-figure choices are no longer being made on guesses. Every ad spend change, every closer pay change, every calendar change is backed by data the founder can trust. The team feels it.
  • Clarity that builds on itselfEvery new ad source, every new closer, every new calendar plugs into the same setup. The system grows without breaking. AbuvThePar can add more moving parts to their business without making their data harder to read.
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