Sure thing. I start by pulling the data that actually matters: traffic, conversion rates, and revenue per keyword or landing page. Then I break it down into three buckets – high‑impact, medium‑impact, and low‑impact. For each bucket I calculate a score: search volume times conversion rate times the profit margin of the product or service. That gives me a clear ROI estimate for every keyword or page. Next, I match that score to the effort needed. If a keyword needs a tiny content tweak to climb, I grab it. If it needs a full site overhaul, I budget the budget and time to see if the potential lift justifies the cost. I also keep a “quick win” list for low‑effort, high‑gain changes that can be done in a sprint. Once I have scores and effort estimates, I run a simple cost‑benefit analysis and rank the items. I put the highest ROI and lowest effort on the front of the sprint back‑log. I also set aside a small portion of the budget for testing new ideas—A/B tests, micro‑experiments—so I can validate the model without committing too much. In short, I quantify resources by converting traffic and conversion data into dollar terms, prioritize by ROI and effort, and stay flexible enough to iterate as the market shifts.