Store revenue projection.

Shopify store revenue depends on sessions × conversion rate × average order value. Most stores sit at 1-3% conversion on cold traffic; high-intent channels like email or branded search can hit 5-8%. AOV is highly category-dependent: apparel 50-80, electronics 150-300, home goods 80-200, luxury 300+.

40,000 monthly sessions × 2% conversion × 75 AOV = 800 orders × 75 = 60,000 monthly revenue, 720k annually. At that scale with 40% product cost, typical opex, and Shopify Basic plan, net profit lands around 80-150k/year depending on ad spend intensity.

Growing revenue is easier via AOV than sessions. Doubling AOV from 75 to 150 requires product mix change (bundles, premium options, add-to-cart upsells) - typically a 30-50% margin lift. Doubling sessions requires doubling marketing spend, with diminishing returns as channel saturation sets. Most stores hit revenue walls because they keep investing in session growth.

Quick example

With monthly sessions of 40,000 and conversion rate of 2% (plus avg order value of 75 and projection period of 12 months), the result is 60,000.00. Change any figure and watch the output shift — it's often more useful to see the pattern than to memorise the formula.

Which inputs matter most

You enter Monthly Sessions, Conversion Rate %, Avg Order Value, and Projection Period (months). Not every input has equal weight. Flip one at a time toward extreme values to feel which ones move the needle most for your situation.

What's happening under the hood

Monthly orders = sessions × conversion %. Monthly revenue = orders × AOV. Period revenue = monthly × months. The formula is listed in full below. If the number looks off, you can retrace the calculation by hand — that's the point of showing the working.

What to do with a low result

A disappointing result is information, not a judgement. Pick the single input that dragged the figure down most and focus the next quarter on that one factor. Breadth-first improvement rarely works; depth-first on the worst input usually does.

What this doesn't capture

The score is a composite of the inputs you provide. Life context — job security, family obligations, health, housing — doesn't appear in the math but shapes the real picture. Use the number as a prompt, not a verdict.