Brand versus performance versus retention: move the sliders before you move the money.
Brand versus performance versus retention: move the sliders before you move the money. Set your own return assumptions, see the blended multiple, and get flagged when any bucket is starved or bloated.
Allocations normalise to 100%. Each bucket returns at your stated assumption: brand as a 12-month multiplier, performance and retention as ROAS.
Warnings fire at the classic failure modes: >70% performance (harvesting demand you're not creating), zero brand (the well runs dry), zero retention (reacquiring churn at multiples).
These are your assumptions made explicit — the tool's job is the argument about which one you'd bet on.
Illustrative figures, not a client outcome.
Category and stage decide: challengers usually need 30–50% brand to have demand to harvest later; mature leaders can run heavier performance. The tool forces your assumption into the open — that's the deliverable.
Your own history first: last year's measured returns by bucket. Industry ranges are a fallback, not a plan.
Version 1.0 · Reviewed 2026-10 · Methodology is fixed and version-controlled; results depend on your inputs.
Budget split by last year's habit? Simulate before you commit.
BLEZZINGS runs this analysis inside a focused engagement — with your data, your market and a plan to act on it.