SurveyKing Consulting combines finance, market research, and software engineering in a way that traditional modeling firms do not. Our team includes CPAs, software developers, and analysts who understand how assumptions, systems, and workflows feed into financial decisions. This blend of skills allows us to build models that are not only technically sound but also integrated within your systems and operational data.

Once we understand your business, industry, and the decisions the model needs to support, we'll build a financial model tailored to your needs by either refining an existing framework or building a new one from the ground up. Our focus is on understanding the business landscape, key assumptions, and business logic that influence outcomes.

Many models are developed as standalone applications that integrate data from multiple internal systems, enabling leadership to run scenarios and test assumptions quickly. The result is a flexible, on-demand tool that supports budgeting, forecasting, capital planning, scenario analysis, and strategic decision-making.

Financial modeling services are commonly used when organizations need better visibility into future performance and the financial impact of strategic decisions. Models help leadership evaluate growth opportunities, allocate capital, assess risk, and understand how operational changes affect revenue, costs, cash flow, and profitability.

Common uses include:

• Budgeting and forecasting
• Capital allocation
• Fundraising and investor presentations
• Mergers and acquisitions
• Pricing and profitability analysis
• Cash flow planning
• Workforce and labor planning
• New product or market expansion analysis
• Business valuation

Many organizations also engage us to improve existing financial models. We frequently encounter Excel models that rely on hard-coded assumptions, manual processes, or poorly designed VBA code. These models can be difficult to maintain, slow to run, and challenging to use for scenario analysis. Our team can simplify, rebuild, or automate existing frameworks to improve accuracy, flexibility, and long-term usability.

Financial modeling services are available for $100 per hour or on a fixed-fee basis once the scope and requirements are defined. Each engagement includes direct access to experienced consultants with backgrounds in finance, accounting, and engineering who design models that improve accuracy, transparency, and decision speed.

Modeling engagements often uncover broader workflow and systems issues such as inconsistent data structures, manual consolidation processes, and fragmented reporting environments. In these situations, financial reporting services can help improve reporting consistency and support more accurate forecasting and modeling.

Forecasting models bring structure and consistency to financial planning, replacing fragmented spreadsheets with connected, driver-based logic. Our consultants design frameworks that link revenue, cost, and headcount assumptions to the three core statements: income, balance sheet, and cash flow, so that every change in operations or pricing automatically flows through to financial results.

We also connect models directly to reliable data sources when possible. Pulling historical performance from accounting, ERP, CRM or labor model systems ensures that assumptions reflect real trends, not estimates copied from one spreadsheet to another. This is where having consultants who can code, working across SQL, VBA, or Python, becomes critical. Our ability to automate inputs and organize historical data makes forecasts more accurate and easier to maintain.

Accurate forecasting also requires real technical accounting, not just formulas. Capitalized internal labor, multi-year CAPEX schedules, depreciation, SaaS revenue recognition, deferred revenue, and prepaid expense timing all affect earnings and cash differently. Many organizations struggle when CAPEX, OPEX, and FTE-driven costs are blended without structure. We separate and link these components correctly so every timing impact flows cleanly through the financial statements.

Common deliverables include:

• Rolling forecasts and annual budgets
• Integrated three-statement models
• Driver-based expense and revenue planning
• Sensitivity and scenario analysis
• Headcount and compensation planning
• Pricing, margin, and contribution models
• Cash runway and break-even analysis

Each model is documented, auditable, and transparent, allowing finance teams to update assumptions confidently as conditions change. The result is a forecasting framework that accelerates planning cycles, improves accuracy, and provides leadership with a single, reliable version of the truth.

Capital and transaction models support decisions around funding, investment, and significant financial commitments. These models are designed to evaluate how new capital, debt, or acquisitions impact long-term performance and liquidity, helping leadership compare scenarios, manage risk, and align financing with growth strategy.

Typical capital models we build:

• Capex and infrastructure planning
• Debt and equity financing models
• Mergers and acquisitions analysis
• Valuation and ROI modeling
• Investment yield, IRR, and NPV analysis
• Real estate development and acquisition models
• Project finance and capital investment modeling
• Pro forma statements for investors and lenders
• Cash flow and funding gap projections
• Sensitivity analysis on deal structure and interest rates

Capital models are often delivered within our Excel consulting services, where Excel is well suited for scenario analysis, sensitivity testing, and transaction modeling. This approach supports clear evaluation of leverage, returns, and liquidity across different financing structures and assumptions.

Market research strengthens financial models by validating assumptions. We help organizations analyze real-world signals that improve forecast accuracy and strategic confidence. This includes testing your market entry strategy, including demand, pricing, and customer segments. Every model reflects how markets behave.

Our consultants design research programs that align directly with financial planning objectives. Using survey panels, focus groups, and A/B testing tools, we capture the customer and market data needed to refine key assumptions whether that’s price sensitivity, adoption rates, or regional demand potential. Techniques such as Gabor-Granger and Van Westendorp pricing analysis identify revenue-maximizing price points. At the same time, satisfaction and NPS surveys uncover retention and churn risk that feed back into forecast models.

We also integrate external data sources into modeling frameworks. Location intelligence and demographic surveys help evaluate where to open new locations or expand operations, while web analytics and product-level data support demand forecasting and conversion modeling. When appropriate, predictive algorithms and regression models are used to estimate growth, seasonality, and performance under different market conditions.

By combining market research with predictive analytics and system-level integration, we turn traditional financial models into dynamic tools that reflect both internal performance and external opportunity. The result is a planning framework grounded in real data, one that improves pricing strategy, revenue forecasting, and long-term decision-making.