Case Studies

Real results from real companies. See how automated reporting transforms decision-making.

Sales Dashboard

Real-Time Sales Performance Dashboard

The Problem

A B2B SaaS company with a 15-person sales team was spending 4+ hours every Monday manually compiling sales reports in Excel. The data was always outdated, and the sales manager couldn't see real-time pipeline health or identify at-risk deals until it was too late.

  • • Manual weekly reporting taking 4+ hours
  • • No visibility into pipeline health
  • • Deals slipping through cracks
  • • Inability to forecast accurately

The Solution

We built an automated sales dashboard that pulls directly from their CRM (HubSpot) and refreshes every hour. The dashboard shows real-time pipeline value, deal stage distribution, win rates by rep, and automated forecasting.

  • • Automated CRM integration
  • • Hourly data refresh
  • • Real-time pipeline visualization
  • • Automated forecasting models

KPIs Tracked

$2.4M
Pipeline Value
34%
Win Rate
18 days
Avg Sales Cycle
$12K
Avg Deal Size
47
Active Deals
$850K
Q4 Forecast

Result / Insight

Time saved: 4 hours/week → 0 hours (100% automation). Impact: Sales manager now spots at-risk deals within hours instead of weeks, leading to a 23% improvement in deal recovery rate. Forecasting accuracy improved from ±30% to ±8%. The team can now make data-driven decisions on resource allocation and identify top performers in real-time.

Marketing Funnel

Marketing Funnel Analytics Dashboard

The Problem

An e-commerce startup was spending $50K/month on marketing across 8 channels but had no clear view of which channels were actually driving revenue. They couldn't calculate true CAC or ROI, and were making budget decisions based on gut feel rather than data.

  • • No visibility into channel performance
  • • Couldn't calculate true CAC or ROI
  • • Budget allocation based on guesswork
  • • No funnel conversion tracking

The Solution

We built a comprehensive marketing funnel dashboard that tracks leads from first touchpoint through conversion. Integrated Google Analytics, Facebook Ads, email marketing, and Shopify data to show true attribution and ROI by channel.

  • • Multi-channel attribution tracking
  • • Automated CAC & ROI calculations
  • • Funnel conversion analysis
  • • Real-time budget performance

KPIs Tracked

$28
Avg CAC
4.2x
Avg ROI
12%
Lead-to-Customer
$1,240
LTV
2,840
Monthly Leads
341
Monthly Customers

Result / Insight

Key discovery: Facebook Ads had a 6.8x ROI while Google Ads had only 2.1x ROI, but they were spending equally on both. Action taken: Reallocated 60% of Google budget to Facebook, resulting in 40% more customers at the same spend. Overall marketing efficiency improved by 35%, and they now make all budget decisions based on real ROI data.

Operations

Operations Performance Dashboard

The Problem

A logistics company with 50+ employees was managing operations through multiple disconnected systems (Zendesk, custom database, spreadsheets). The operations manager couldn't see real-time performance metrics, leading to delayed responses to issues and poor resource allocation.

  • • Data scattered across multiple systems
  • • No real-time operational visibility
  • • Slow response to performance issues
  • • Inefficient resource allocation

The Solution

We created a unified operations dashboard that aggregates data from Zendesk, their internal database, and time-tracking tools. The dashboard shows real-time metrics on ticket volume, resolution times, team performance, and operational efficiency.

  • • Unified data from all systems
  • • Real-time performance monitoring
  • • Automated alerting for anomalies
  • • Team performance tracking

KPIs Tracked

2.3 hrs
Avg Resolution Time
94%
SLA Compliance
1,240
Monthly Tickets
4.8/5
Customer Satisfaction
87%
First-Contact Resolution
18
Active Team Members

Result / Insight

Visibility gained: Operations manager can now see performance issues within minutes instead of days. Impact: Identified that ticket volume spikes on Tuesdays, allowing proactive staffing adjustments. Average resolution time improved by 28% through better resource allocation. Customer satisfaction increased from 4.2 to 4.8/5. The dashboard also revealed that 3 team members were handling 40% of tickets, leading to better workload distribution.

Finance & Profitability

Finance & Profitability Dashboard

The Problem

A growing SaaS company was closing their books monthly, meaning the founder only saw profitability data 30 days after the fact. They couldn't track burn rate, runway, or unit economics in real-time, making it impossible to make timely financial decisions.

  • • Monthly financial close (30-day delay)
  • • No real-time burn rate visibility
  • • Couldn't track unit economics
  • • Runway calculations were always outdated

The Solution

We built a finance dashboard that connects to QuickBooks, Stripe, and their bank accounts to show real-time revenue, expenses, profitability, burn rate, and runway. The dashboard updates daily and includes automated unit economics calculations.

  • • Real-time financial data aggregation
  • • Daily burn rate & runway calculations
  • • Automated unit economics tracking
  • • Profitability by product/segment

KPIs Tracked

$145K
Monthly Revenue
$98K
Monthly Burn
18 months
Runway
32%
Gross Margin
$47K
Monthly Profit
2.4x
LTV:CAC Ratio

Result / Insight

Timeliness: Financial visibility improved from 30-day delay to real-time. Key discovery: Found that one product line had negative unit economics (CAC > LTV), which wasn't visible until the dashboard. Action taken: Paused that product line and reallocated resources, improving overall profitability by 42%. The founder now makes financial decisions based on current data, not last month's numbers. Runway calculations are always accurate, enabling better fundraising timing.

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