You plan Q4 like Q2, yet your data has known the difference for years
Most annual planning in the mid-market works like this: set a revenue target, divide by twelve, monthly plan done. Maybe sprinkle a bit of growth on top. Looks tidy. It just completely ignores how your business actually breathes.
Because your business breathes. Every business does. August, when nobody in the DACH region accepts a meeting. October, when next year’s budgets are being negotiated and deals suddenly pick up speed. December, which splits into two weeks of final sprint and two weeks of graveyard. Q1, when the pipeline looks full because everything pushed from Q4 lands there, but the close rate sits below the annual average. These patterns are not anecdotes. They are sitting in your own data, three, four, five years back, with timestamps and amounts.
They just never get asked.
The absurd part: the analysis is not rocket science. Export the opportunity history, group closes by month, stack three years on top of each other. An afternoon of work if the data is halfway clean, and that “if” is admittedly often the real bottleneck. After that, you see things like: 22 percent of your annual revenue lands in November, June consistently produces the longest sales cycles, and deals created in August close 40 percent worse. Numbers like that have consequences. Very practical ones.
Whoever knows their seasonality sets quotas that do not demoralize reps in August and artificially brake them in November. Times the outbound campaign so the meetings land inside the budget window instead of three weeks after it. Plans the board forecast with historical conversion curves instead of hope. And spots real problems faster: a weak May is an alarm if May is historically strong, and normal if it never was. Without a baseline, both are the same stomach rumble.
Instead, the same scene plays out every January. Q3 gets missed, the frantic root-cause hunt follows, and the answer has been sitting ignored in the CRM for years: Q3 always gets missed when you plan it like a Q2.
You are sitting on years of your own history. Asking it costs an afternoon. Ignoring it costs the same surprises every year. When did you last break your close data down by month, honestly?
