case studies

When growth doesn't mean relief

A decade of rapid commercial expansion left one city puzzled: why hadn’t homeowners felt any tax relief? Our deep dive into property tax data uncovered the quiet structural shift behind the trend: differences in appraisal methods that steadily pushed more of the burden onto residential taxpayers. The findings helped the city explain, with clarity and credibility, what was really driving its tax dynamics.

Forecasting confidence in a volatile economy

Amid rapid growth and economic volatility, one city needed more than a traditional sales tax forecast; it needed to understand probability. ZacTax built a simulation model that quantified uncertainty instead of ignoring it, showing not just what might happen but how likely each outcome was. The approach turned forecasting into a planning tool, helping leaders budget with precision and peace of mind.

Steady hands in transition

When a key finance leader departed mid-budget cycle, one public agency turned to ZacTax for stability. Through our ZacFinance service, we maintained day-to-day financial operations, prepared the annual budget, and guided the transition to new leadership. The result was a seamless handoff: no disruptions, no delays, just steady stewardship when it mattered most.

Modeling the future of a growing corridor

As one city planned a new highway interchange, leaders wanted to understand not just the traffic implications, but the fiscal ones. ZacTax combined land use planning with detailed fiscal modeling to compare development scenarios and reveal how each would shape long-term revenues and costs. The result was a roadmap for growth that balanced ambition with arithmetic, helping the city plan for infrastructure that pays for itself.

Forecasting calm in crisis

When early pandemic shutdowns threatened city budgets, ZacTax used advanced analytics to separate fear from fact. By modeling how different industries would respond to lockdowns, and how new remote sales revenue could soften the blow, we showed cities that their worst-case scenarios were far less likely than they feared. The result: informed confidence, not panic-driven cuts.