Forecast revenue from every campaign, crew hour, and inventory buy. Build a season-ready budget that protects margin and keeps your schedule full.
Why it matters
Benefits
Model spring rush, summer maintenance, fall cleanups, and winter slowdowns so you can pace spend, avoid cash crunches, and keep crews utilized without discounting.
Factor labor burden, subcontractor rates, fuel, dump fees, plant shrink, and material waste to see real profitability per service line – from mulch installs to patio builds.
Compare Google Local Services Ads, PPC, SEO, yard signs, direct mail, and referral programs using CPL, close rate, and average job value to fund what actually books.
Forecast how many jobs you can fulfill per week and what inventory to stock – soil, pavers, plants, chemicals – so you don’t overbuy or lose sales to stockouts.
Use cases
Challenge
You get flooded with spring inquiries, but crews are maxed out and rush jobs lead to overtime, rework, and thin margins.
Solution
Use the planner to cap spend based on weekly crew capacity, model overtime costs, and prioritize higher-margin services like hardscapes or recurring maintenance routes.
Challenge
You’re unsure how much to invest in early-season plant orders and whether weekend promotions actually pay off after shrink and markdowns.
Solution
Calculate ROI by product category using sell-through rate, shrink, and gross margin, then set promo budgets tied to forecasted foot traffic and conversion.
Challenge
You’re spending across PPC, LSAs, and direct mail but can’t tell which drives profitable installs versus low-value service calls.
Solution
Track channel-level CPL, call-to-book rate, average ticket, and warranty/return visit costs to reallocate budget toward the highest profit per booked job.
More industries
FAQ
For accurate planning, include: average ticket by service (maintenance vs installs), lead-to-estimate rate, estimate-to-close rate, job duration, crew size, labor burden (wages, payroll taxes, workers’ comp), material costs and waste, travel time, subcontractor rates, and seasonal demand assumptions. For retail, add sell-through rate, shrink, markdowns, and gross margin by category.
Break the year into seasons or months and assign different lead volume, close rates, and average ticket values to each period. Then set spend guardrails based on crew capacity and cash flow – for example, heavier acquisition in early spring, retention and route density in summer, and targeted upsells in fall.
Yes. By modeling true job costs – labor hours, burden, materials, disposal fees, equipment wear, and travel – you can test pricing scenarios and see the margin impact before updating your rate card or estimate templates.
Compare channels using profit per booked job, not just cost per lead. Combine CPL with call-answer rate, lead-to-estimate rate, close rate, average ticket, and gross margin. This prevents overfunding channels that generate volume but attract low-intent price shoppers or out-of-area requests.
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