Overview
A paid spend forecast helps demand generation teams decide whether the next month of paid media can hit budget, lead, revenue, CPA, and ROAS targets before money starts moving.
This playbook installs a forecast model table and an assumptions log. Juno uses budgets, targets, and paid media export history to estimate expected spend, leads, revenue, efficiency, and gaps, then keeps the logic visible enough for a planning meeting.
The replacement is intentionally narrow: it replaces a PPC forecast spreadsheet, not a full media plan, ad-platform editor, or performance dashboard. Google has its own Performance Planner for modeling ad spend changes in Google Ads (Google Ads); this playbook gives the team a durable cross-channel planning surface that can also work from exports and manual assumptions.
Why you should forecast paid spend before the budget meeting
PPC planning gets fuzzy when the spreadsheet mixes targets, stale history, optimistic assumptions, and last month's excuses in the same cells. The dangerous part is not the math. It is losing track of which numbers are real evidence and which ones are hopes with currency symbols.
A good forecast keeps those layers apart. Budget, lead target, revenue target, target CPA, and target ROAS are planning inputs. Historical spend, conversion volume, conversion value, and seasonality are evidence. Caveats, missing history, changed offers, and tracking notes belong in the assumptions log.
That discipline matters because paid platforms do not always spend in neat daily lines. Google Ads budget reporting, for example, includes monthly spend forecasts and daily budget behavior that can vary across the month (Google Ads Help). A monthly forecast should make those planning risks reviewable before the team commits.
Step-by-step
- 1Confirm the planning period, brand or business line, paid channels, currency, monthly budget, lead target, revenue target, target CPA, target ROAS, and whether Juno should refresh the forecast monthly.
- 2Install the paid spend forecast workspace with a forecast model table and assumptions log.
- 3Review the available export history, pasted data, or existing workspace tables for spend, leads or conversions, revenue or conversion value, dates, channel labels, and any obvious tracking gaps.
- 4Build or update forecast rows by channel, campaign group, segment, or scenario, starting with the largest budget areas and any channels the user named.
- 5Estimate forecast spend, leads, revenue, CPA, ROAS, and gap to target from the available evidence, while separating base assumptions from conservative or upside scenarios when the data supports them.
- 6Refresh the assumptions log with source history, calculation choices, caveats, missing inputs, and the decisions the demand gen manager should review before budget is approved.
- 7Hand back the forecast summary with the highest-confidence rows, biggest target gaps, weakest assumptions, and recommended planning decisions. Future manual or monthly runs should reuse the same installed model.
Frequently asked questions
What does this replace?
It replaces the minimum useful version of a PPC forecast spreadsheet: the recurring model a demand gen manager updates before monthly budget planning. It does not replace a full media plan or ad account.
Do I need Google Ads or Meta Ads connected?
No. The default workflow can start from exports, pasted history, existing workspace tables, and manual targets. Connected platform data can make a later refresh easier, but it is not required for the installed forecast.
What inputs make the forecast useful?
Bring the planning period, budget, target leads, target revenue, target CPA or ROAS, paid channels, and recent export history. If history is missing, Juno keeps the model ready and marks the missing evidence instead of inventing rates.
How often should it run?
Run it once for a specific planning cycle, or choose the monthly refresh when the same model should be updated before each budget meeting.
