A Shopify merchant doing about $15–20k per month is considering replacing manual Google Sheets profit tracking and possibly an expensive Triple Whale subscription with ClearProfit. The discussion does not provide a firsthand ClearProfit review or a direct comparison with TrueProfit or BeProfit, so its accuracy and value remain unverified.
Participants recommend judging any tool by whether it includes refunds and discounts, variant-level costs of goods (COGS), shipping, payment fees, recurring expenses, and total Meta/Google ad spend—not only spending attributed to tracked orders. They stress preserving the cost recorded when each order was placed, showing profit by order and SKU, and providing exports or an audit trail. Total ad spend should count as a store cost; attributed spend is better used to assess campaigns. A spreadsheet may still suit stores making occasional decisions, while frequent reconciliation can justify an app.
A Shopify-app founder disclosed that their separate product, Nesvo, offers order-level profit, historical order costs, and SKU reporting, but currently requires manual entry or CSV upload for ad spend. The thread remains open: no ClearProfit verdict emerged, and the question of allocating shipping and fees across multi-SKU orders was not answered.
I’ve been running my store for about a year now and I’m still tracking profits manually in Google Sheets. It’s getting really messy — between Shopify fees, payment gateway charges, ad spend across Meta and Google, shipping costs… I feel like I’m always missing something and my “profit” numbers never feel accurate.
I stumbled on this tool called ClearProfit that seems to pull everything together automatically — Shopify orders, ad costs, transaction fees, COGS, shipping. They also have a bunch of free calculators for things like ROAS, break-even CPA, profit margins etc.
Has anyone here tried it? I’m currently paying for Triple Whale but honestly it feels overkill (and expensive) for what I need. I just want to know my real net profit per order without spending 30 minutes a day in spreadsheets.
A few things I’m curious about:
How accurate is the profit tracking compared to doing it manually?
Is it worth it for a store doing ~$15-20k/month?
How does it compare to TrueProfit or BeProfit?
Would love to hear from anyone who’s used it. Thanks!
Yeah spreadsheets break fast once you have multiple cost layers. The main thing that goes wrong is getting ad spend to line up with actual order level profit on a daily basis.
The formula that actually matters: Gross Sales minus Discounts minus Refunds minus COGS (per variant, not averaged) minus Ad Spend minus Transaction Fees minus Recurring Expenses equals Net Profit.
One thing to watch for with any tracking tool: how it handles cost changes. If your product cost changes and the tool uses today’s cost for old orders, your historical P&L is wrong. You want something that timestamps costs at the time of each order so changing a supplier price today doesn’t rewrite what you made last month.
Whatever tool you pick, make sure it pulls your TOTAL ad spend from Google and Meta, not just attributed spend. Some tools only count spend they can match to orders, which massively understates your real ad costs.
I was in the exact same spot — tracking everything in Google Sheets, constantly second-guessing whether my numbers were right. The problem isn’t discipline, it’s that the data lives in five different places and by the time you pull it all together the numbers are already stale.
You mentioned Triple Whale feeling like overkill — I hear that a lot. Most of these tools are built for brands spending $50k+/month on ads and need multi-touch attribution modeling. If you’re doing $15-20k/month and just want to know your real net profit per order, you’re paying for a fighter jet when you need a bicycle.
I haven’t used ClearProfit specifically so I can’t speak to accuracy. But generally with any profit app, the accuracy is only as good as the COGS data you put in. If your product costs are right, the rest (Shopify fees, payment processing, shipping) gets pulled automatically and the math is straightforward.
For your revenue range, the main things I’d look for in a tool are: does it show profit per individual order (not just daily totals), does it break down profit by product so you can see what’s actually making money, and is the price reasonable for a store your size. A lot of the $49-149/month apps don’t pass that last test.
What’s the messiest part of your spreadsheet setup right now? Is it the ad spend tracking or the shipping/fee side?
@tutterecom
I would not start with “which app is best.” I would start with the exact number you need to trust.
For a $15-20k/month store, the minimum accuracy checklist I would use is:
net revenue after discounts and refunds
COGS by variant, not just an average product cost
shipping and fulfillment
payment or transaction fees
total Meta/Google ad spend, not only attributed spend
recurring app/software costs
refund or return reserve
Then judge any tool or spreadsheet by four things:
Does it timestamp COGS at the time of the order, so old orders do not change when supplier costs change?
Does it use total ad spend for the period, not just spend matched to tracked orders?
Can it show profit by order and by SKU, not only daily store-level profit?
Can you export or sanity-check the math when the number looks off?
If you only need weekly SKU decisions, a clean spreadsheet can still work. If you are spending time every day reconciling Shopify, payment fees, shipping, and ad exports, then a profit app may be worth paying for.
Really useful breakdown, especially the point about timestamping COGS at time of order. I hadn’t thought about how a supplier price change today could quietly rewrite last month’s profit numbers in some tools. Curious if you’ve run into that as an actual dealbreaker with any specific app, or is it more of a “check before you commit” red flag? Also curious how you personally think about attributed vs. total ad spend, do you just pull raw spend from Ads Manager/Google Ads directly, or is there a tool you trust to reconcile that automatically?
I’d treat COGS timestamping as a hard accuracy requirement rather than a nice-to-have. If an app recalculates old orders from today’s product cost, I would not trust its historical profit without an audit trail.
For ad spend, I’d keep two numbers separate: total spend for the period as the store-level cost, and attributed spend as a diagnostic for channel or campaign comparison. Using attributed spend as the only cost can make profit look better when tracking misses conversions.
I’d export the raw period totals from Meta/Google Ads, compare them with Shopify order and refund totals, and then check the SKU-level math separately.
A spreadsheet is still useful because every assumption and formula is visible, but it will not automatically reconcile your store and ad accounts. For a smaller store, I’d choose the simplest setup that preserves order-time COGS, total ad spend, refunds, and an export or audit path.
Really appreciate the detail here, the “two separate numbers” framing (total spend as the real cost, attributed as a diagnostic) is exactly the model I’ve landed on too. One thing I’m still working through: for the SKU-level math you mentioned checking separately, how do you handle a single order with multiple SKUs when it comes to splitting shipping and payment fees across them, pro-rated by revenue, by weight, or something else?
That’s how I’d approach it. I wouldn’t treat changing supplier costs as an automatic reason to reject an app, but I would treat it as a requirement to verify before trusting its historical profit reports.
For a real check, I’d ask whether the app stores the cost basis on each order line, or recalculates old orders from the current product cost. Then I’d change a test SKU’s cost and see whether an old order changes. If it does, the app should at least show that it is a restatement and keep an audit trail.
For ad spend, I’d use raw spend from Meta or Google Ads as the store-level cost for the period. Attributed spend is still useful for comparing campaigns, but I wouldn’t use it as the only profitability number because missed attribution can make profit look better than it is.
I haven’t found a reconciliation tool I’d trust without checking the raw exports. For a smaller store, I’d rather keep the period spend, Shopify revenue/refunds, and SKU-level costs visible in one sheet than rely on an automatic number that can’t be audited.
I think the key question is whether you actually need another analytics suite, or just a reliable profit number you can reconcile back to Shopify.
For a store at your size, I’d want net sales minus refunds, COGS, payment fees, shipping and ad spend calculated consistently first — then only add deeper analytics if it changes a decision.
I’m building around exactly that simpler profit-first workflow. Curious: what part of your current spreadsheet feels least trustworthy — ad spend, COGS, fees, or refunds?
Full disclosure, I’m the founder of Nesvo, a Shopify app, so I’m biased. But what you’re describing is the spreadsheet we built it to replace.
It syncs your orders, refunds and product costs from Shopify, and shows net profit after cost of goods, shipping, payment fees and ad spend, for any period, and per order in an orders report.
A few things you mentioned specifically:
Cost at the time of the order. Each order keeps the cost it was sold at, so updating a product’s cost doesn’t rewrite last month’s profit. You can apply a corrected cost to past orders if you choose to.
Gateway fees. Shopify Payments fees come in automatically. For PayPal, Stripe or anything else, you enter the rate once and it’s taken off every order through that gateway.
Ad spend. It comes off net profit, and ROAS is shown separately. To be upfront, there’s no Meta or Google connection yet: you enter it or upload a CSV.
Per SKU. Gross profit by product or by variant, with the SKU.
The profit analytics are on the free plan, which is permanent, not a trial. If something you need is missing, tell me. We’re always open to adding features around what merchants actually need.
