Which three data sources are typically used to build a prospect budget?

• A. Weather data, stock prices, and social media memes
• B. Future forecasts without historical data
• C. Historical spend data, CRM/sales data, channel analytics and performance reports
• D. Employee surveys, vendor catalogs, and press releases

Answer: (C)

Data-driven budgeting for prospects relies on three real data inputs: past spending patterns, CRM/sales activity, and channel performance.

Historical spend data shows how much was spent before and when, revealing seasonal trends and typical pacing. This gives you a realistic baseline to forecast future spend and avoid over- or under-allocating budget.

CRM and sales data provide visibility into the pipeline, including opportunity volume, deal sizes, close dates, and win rates. This helps estimate future demand and the resources needed to move opportunities through the funnel, aligning the budget with expected sales activity.

Channel analytics and performance reports show how each marketing channel performs in terms of cost and return—metrics like cost per lead, cost per acquisition, conversion rates, and overall ROI. This guides how to split the budget across channels to maximize impact.

Together, these sources create a budget that reflects what happened historically, what the current sales funnel suggests will happen, and how efficiently each channel drives results. Other data like weather, stock prices, or memes don’t inform budgeting decisions in this context, forecasts without context lack realism, and surveys or vendor catalogs don’t provide the essential performance metrics needed to allocate resources effectively.