Shopify Analytics targets vs a spreadsheet vs Paceloop
Last updated: 2 August 2026
Shopify's built-in targets track a number you have already decided on; a spreadsheet does the same with more flexibility and more upkeep; Paceloop is for the part neither covers — deciding whether the number is defensible, what to do about it, and what to change when you fall behind. If you already know your target is right and what you will do about it, the built-in target is enough.
What each one actually does
| | Shopify Analytics targets | Spreadsheet | Paceloop | | --- | --- | --- | --- | | Set a target | Yes, per metric and period | Yes, anything | Yes, and pressure-tested against 90 days first | | Track progress automatically | Yes, in Analytics | No — you update it | Yes, live scoreboard | | Tell you if the target is realistic | No | Only if you build the model | Yes — and refuses ones the data will not support | | Say why you are behind | No | No | Yes — names one constraint of five, with the numbers | | Tell you what to do | No | No | 1–3 weekly behaviors, plus what to cut | | Change the plan when it is not working | No | No | Weekly check-in: hold, intensify, swap, or revise down | | Cost | Free | Free | Free to install and audit; $29/mo from check-in 3 |
When the built-in Shopify target is the right answer
Genuinely often, and this is not a throat-clear:
- You set targets mainly so the number is visible on a dashboard.
- You already know what you are working on this quarter, and you are doing it.
- You want zero new tools, logins, or monthly costs.
- Your target comes from somewhere other than your store's trend — a budget, an investor deck, a wholesale contract.
In those cases a Paceloop cycle adds ceremony to a decision you have already made.
When a spreadsheet is the right answer
- Your model is genuinely custom — multi-store, multi-channel, blended with ad spend or offline revenue.
- You need to share a plan with someone who will never open your Shopify admin.
- You enjoy the model. Some people think in spreadsheets, and a tool that hides the arithmetic is a downgrade for them.
The failure mode is not accuracy, it is upkeep: spreadsheets stop being updated in about week three, and a stale pace number is worse than none because you still believe it.
When Paceloop earns its place
- The target keeps getting set and missed, and nobody can say which factor was supposed to move.
- You do not know whether traffic, conversion, order value, repeat rate or margin is the thing to work on this quarter.
- You start cycles enthusiastically and lose them in week three to whatever was loudest that morning.
- You want something that will tell you the target is unrealistic before the cycle, and tell you to lower it during the cycle, rather than agreeing with you both times.
Using them together
They are not exclusive. Paceloop mirrors your cycle goal into Shopify Analytics as a native target, so the number shows up where you already look — the built-in target keeps working, and it stays there if you uninstall.
Who this is not for
- Stores under ~90 days old. Paceloop's analysis needs a trend to read; it will say so rather than guess. A spreadsheet is more useful at that stage.
- Anyone wanting a full analytics suite. Paceloop is not a dashboard — it reports one goal, one constraint, one plan. If you want cohorts, attribution and P&L, this is the wrong category of tool.
- Anyone who wants to be told their plan is fine. The product's main behaviors are refusals.
Common questions
Does Paceloop replace Shopify Analytics? No. It reads from it and writes a target back to it.
Can I try it without paying? Yes — install, the full audit, activating a cycle, the live scoreboard and your first two weekly check-ins are free. Billing starts at check-in 3, with no trial to run down first.
What happens to my data if I uninstall? It is deleted. The target Paceloop mirrored into Shopify Analytics stays, because it is yours.
Install Paceloop free and run the audit — if the verdict is that your target is fine and you know what to do, you have lost ten minutes and gained a second opinion.