/digital-marketing-pro:what-if

Purpose

Quick scenario comparison tool. Test 2-4 marketing scenarios against each other — different budget allocations, channel mixes, or strategic approaches — and see projected outcomes side-by-side. This is the lighter, faster alternative to full Monte Carlo simulation (/digital-marketing-pro:simulate). Where simulate runs thousands of iterations with full probability distributions, what-if uses point estimates with simple variance bands to give directional answers in minutes. Use it for rapid decision-making when you need a quick read on "should we do A or B?" without the statistical depth of a full simulation — team meetings, Slack discussions, quick planning calls, or narrowing down options before running a deeper analysis.

Input Required

The user must provide (or will be prompted for):

• Scenarios to compare: 2-4 named scenarios, each with channel-level budget allocations and expected ROI per channel. Examples: "Scenario A: Heavy paid — $50K Google Ads, $30K Meta, $10K email" vs "Scenario B: Content-led — $20K Google Ads, $15K Meta, $40K content, $15K SEO." Each scenario needs a descriptive name and channel budget breakdown. If the user provides only high-level descriptions ("more on paid, less on organic"), ask for specific dollar allocations or percentage splits
• Current baseline: The existing budget allocation and recent performance as the reference point for comparison — what the brand is doing right now so each scenario shows a clear delta. If not provided, pull from brand context historical data
• Evaluation criteria (optional): What matters most for this decision — total revenue, ROI efficiency, risk level, speed to impact, or a weighted combination. Defaults to expected revenue if not specified
• Time horizon (optional): How far out to project — defaults to 3 months. Shorter horizons favor paid channels, longer horizons favor organic and content investments due to compounding effects

Process