Budgeting
How to Forecast Lead Volume Before Launch
A lead forecast is not a promise. It is a planning model that shows whether a campaign has enough budget and demand to be worth testing.
The goal is to avoid launching with expectations the market cannot support.
Start with available budget
Write down the amount available for the test period. For many local service campaigns, a useful first forecast covers 30 days because it is long enough to see early patterns.
Estimate clicks
Divide the test budget by expected average cost per click. If the budget is $1,500 and clicks are expected to cost $10, the campaign may receive about 150 clicks.
Apply a realistic conversion rate
Multiply estimated clicks by a conservative landing page conversion rate. A 5% conversion rate on 150 clicks produces about eight leads.
Separate leads from qualified leads
Not every lead will match the service area, budget, timing, or job type. If only half of leads are usually qualified, eight leads may become four qualified opportunities.
Include follow-up capacity
A campaign can only create value if the business responds quickly. Forecast the number of calls, forms, and messages the team can handle before adding more budget.
Use ranges, not single numbers
Create a low, expected, and high case. Ranges make it easier to decide whether the campaign is worth launching and when to pause for review.
Update the forecast after launch
Replace assumptions with real click cost, conversion rate, qualification rate, and close rate. The forecast should become more accurate as data arrives.
Show the assumptions in the forecast
Use a simple chain: budget ÷ expected CPC = estimated clicks; estimated clicks × landing-page conversion rate = tracked enquiries; tracked enquiries × qualification rate = qualified opportunities. A $3,000 budget at $10 CPC suggests 300 clicks. At a 4% conversion rate and 60% qualification rate, that suggests about seven qualified opportunities. Round the output and treat it as a scenario, not as a promise.
Create low, expected, and high cases by changing CPC, conversion rate, and qualification rate. The range is more useful than a single confident number because it exposes the assumptions that deserve testing first.
Keyword Planner forecasts can inform traffic assumptions, but Google notes that bid, budget, ad quality, location, and customer behaviour influence results: https://support.google.com/google-ads/answer/7337243
Forecast the operating response too
For each scenario, state whether the team can answer that number of calls, schedule appointments, and follow up within the desired time. A forecast is incomplete if it models click volume but ignores the capacity needed to turn enquiries into outcomes.