Case Studies
Situation
A 14 ARR SaaS company was driving significant inbound traffic but struggled to convert visitors into trial users. We conducted a full audit of their website, landing pages, and analytics to identify friction points in the user journey.
Action
We implemented a conversion rate optimization system that included A/B testing key CTAs, simplifying sign-up flows, adding personalized messaging, and tracking behavioral data to target drop-off points. These changes improved top-of-funnel conversion rates by 15%.
Result
The company saw a 27% lift in free-trial-to-paid conversions, generating an additional $555,000 in annual recurring revenue without increasing ad spend. The CRO system remains in place today, delivering ongoing results.
Situation
A $4.2 million dollar company’s Weekly Business Review process required over 40 hours of manual preparation each week, pulling data from multiple systems and spreadsheets. This slowed decision-making and limited the C-suite’s ability to act on timely insights.
Action
We automated and enhanced the review by integrating data sources, building centralized dashboards, and standardizing reporting. This streamlined the process into a single, real-time view of business performance.
Result
The new system reduced preparation time from 40 hours to just 1 hour per week, saving $73,000 annually and equipping leadership with faster, clearer insights to guide strategic decisions.
Situation
A multi-million dollar transportation company struggled with unpredictable demand, leading to fluctuating margins and missed opportunities during high-volume periods. Operations often had to react after the fact rather than plan ahead.
Action
We built and deployed a AI-based forecasting model that leveraged historical bookings, seasonality trends, and promotional calendars. The model provided daily, data-driven demand projections that integrated directly into operations planning and product pricing.
Result
This solution added $63,000 in net annual revenue annually, reduced day-to-day margin variance, and enabled the team to proactively prepare for high-demand periods, improving both profitability and efficiency.