You have the data. What you need is to know which numbers are actually driving your results, and which lever to move first. I run a proper statistical analysis on your CSV or Excel data and give you a short, ranked answer — not a wall of charts.WHAT YOU GETOne PDF report containing:1. A one-page summary: the factors that move your outcome number, ranked by strength, and the first lever to pull2. Evidence tables: regression results for each factor (effect size and significance), so you can check the reasoning yourself3. A next-action list: only the factors you can actually change, in priority orderHOW I WORKI fix your outcome metric first (sales, sign-ups, clicks — one number), then run regression analysis against the factors in your data, and keep only the factors that are both strong and movable. I report associations honestly: the report shows what moves together with your outcome and how strong the evidence is; it does not promise causation or future results.SCOPE AND PRICE$149 covers ONE dataset: up to 10,000 rows and 20 columns, with one outcome column you specify. Data must already be in a CSV or Excel file (columns with headers). Heavy data cleaning before analysis is not included — if your file needs cleaning first, my data cleaning service covers that. Analysis only: I do not change your systems or implement fixes.WHAT I NEED FROM YOUYour CSV or Excel file, the name of the outcome column, and one line on what decision this analysis should support. Message me before ordering if you are unsure whether your data is enough — I will tell you honestly, and I can show you a sample report made from sample data.ABOUT THE SELLERGeneral Manager at Recruit Co., Ltd., directing sales strategy for the staffing division.Track record: led a sales-organisation reform that added JPY 1.5 billion in annual sales and won back the No. 1 market share in its segment; shifted the core KPI and delivered approximately JPY 1 billion in additional sales over a half-year period (Half-Year MVP award); analysed approximately 1.55 million scout-message records and identified the levers behind a roughly 2x difference in response rates. Earlier roles include Sumitomo Mitsui Card (President's Award) and MicroAd.Also: ran performance advertising for a kids' clothing e-commerce business (January 2020, two years) and improved ROAS to 700%, featured as a case study by the platform.My method on every project: fix the outcome metric first, run regression analysis, and report only the factors you can actually move, in priority order.FAQQ: How much data do I need?A: As a guide, at least 100 rows with a numeric outcome column. Below that, patterns are usually too weak to rank — message me first and I will check for free whether your data can support the analysis.Q: Which tools do you use?A: Statistical software for the regression itself, and I deliver a PDF report plus the evidence tables, so you can verify every number without special tools.Q: Can you analyze data in Japanese?A: Yes. Column headers and labels may be in Japanese or English.
