Which Metrics to Review Daily, Weekly and Monthly in Your Store

Why you need a reporting rhythm, not just one dashboard

Every number in your store has a time span over which it becomes meaningful. Some numbers tell you within a day that something has broken, some can only be read after a week of data, and some only show up after a month or more.

The common mistake is looking at everything every day. That leads to rushed decisions: pausing a campaign that has not finished learning, or raising a budget because of one lucky day. The fix is to group metrics by the rhythm that suits them and give each rhythm a single question:

• Daily: is everything working as it should?
• Weekly: which direction are the campaigns and the store moving in?
• Monthly: are we profitable, and where does the money go next month?

Daily: catch breakages, don't make decisions

The point of the daily look is to spot a problem before it costs you a whole week: sales stopping, checkout failing, fulfilment falling behind, or ad spend running over plan. Shopify's Analytics overview dashboard summarises sales, sessions and fulfilment data and updates within about 1 minute, so you can check your day directly in the admin (1).

When you compare today with yesterday, Shopify calculates percentage change on a like-for-like basis, up to the same moment (2). Your morning numbers are compared with yesterday morning, not with yesterday's full total, so an apparently large gap early in the day is not a reason to panic.

Worth a daily look:

• Net sales and order count versus yesterday.
• Orders that are late to fulfil or ship.
• Actual ad spend against the planned daily budget.
• Any campaign that has stopped delivering or had ads rejected.

What you should not judge daily is a new campaign's performance. TikTok recommends allowing a minimum of 7 days for the learning phase, so judging a new campaign on a single day's numbers is premature (3).

Weekly: campaign direction and conversion rate

A week is the shortest period over which campaign performance can be read fairly, because it covers the minimum learning phase TikTok recommends (3). Days alone are not enough, though; data volume matters too. In TikTok's guidance for Value-based Optimization app campaigns, reaching 50 conversions is named as the most significant indicator of passing the learning phase (4). That guidance is specific to app campaigns, but it is a useful reminder that a campaign without enough conversions has not really been tested yet.

Some metrics need even longer. When Day 7 ROAS is used in TikTok app campaigns, TikTok recommends budgeting for at least 14 days of learning before evaluating performance, because the value takes up to 7 days to mature (5). If the metric you rely on matures late, do not judge it before it has.

Do not read conversion rate on its own. Review orders, sales and customer counts alongside sessions, which is how Shopify advises you to tell whether store activity actually changed (6).

Worth a weekly review:

• ROAS for every campaign that has passed learning.
• Campaigns still in learning, and how many conversions they have gathered.
• Conversion rate read together with orders and sessions.
• Ads whose performance is starting to fade and need a replacement.

Monthly: profitability, repeat customers and budget decisions

The month is where the big decisions belong: how much to spend next month, which channel deserves more money, and whether your margin covers your acquisition cost. This is where you look at MER, ROAS and CAC together, not one of them in isolation. If you are unsure which number should drive your decisions, read the difference between MER, ROAS, POAS and ROI.

When you compare the current month with the previous one mid-month, Shopify compares month-to-date net sales with the previous month up to the same second (2), so you can read the middle of the month without confusing it with a full month's total.

Repeat customers are a monthly number by nature. Shopify's Customer cohort analysis report groups customers by the date of their first order and shows repeat purchases over the following weeks, months or quarters, which suits a monthly rather than daily review (7).

Worth a monthly review:

• MER and ROAS per channel, alongside CAC.
• AOV and its trend.
• Repeat purchase rate for each customer cohort.
• Budget allocation for the coming month.

Log measurement changes before you compare periods

Sometimes a number moves because the way it is measured changed, not because your store did. Keep a simple log of measurement changes in your recurring reports and check it before comparing any two periods.

Two recent examples affect most stores:

• From 21 September 2026 Shopify changed how Shopify Analytics measures sessions so that it better reflects human shopper activity (8). The update does not affect orders, sales or customer counts, only sessions, conversion rate and other session-based metrics (6). Shopify advises treating it as a new baseline when reviewing conversion rate trends, because a higher or lower rate after the update is not automatically good or bad (9).
• Meta announced that from 12 January 2026 the 7-day view and 28-day view attribution windows in the Ads Insights API stop returning data, while 1-day click, 7-day click, 28-day click, 1-day engaged view and 1-day view remain (10). Conversions that used to be counted within the removed windows are no longer attributed, which makes month-on-month ROAS comparisons across January 2026 uneven (11). Historical data recorded with the old windows remains accessible, but new data requests use only the current windows (12).

The working rule: put a clear note in the report at the date of each change, and compare after with after.

Who on your team owns each number?

A number nobody owns is a number nobody watches. You do not need a large team, just a clear split of who looks at what, and when:

• Operations or store manager: daily sales, late orders, payment and shipping problems.
• Media Buying lead: daily spend against budget, a weekly campaign review once learning is complete, and logging attribution changes on the platforms.
• Store or marketing lead: weekly conversion rate read with orders and sessions, and logging session measurement changes.
• Owner or finance lead: the monthly review of MER, CAC and repeat customers, and the decision on next month's budget.

If you run the store alone, the same split applies to you: a few minutes each morning for breakages, a fixed weekly slot for campaigns, a monthly session for decisions, and keep them separate.

Sources

1. (1) Shopify · 2026-09
2. (2) Shopify · 2026-09
3. (3) TikTok · 2026-10
4. (4) TikTok · 2026-10
5. (5) TikTok · 2026-10
6. (6) Shopify · 2026-09
7. (7) Shopify · 2024-12
8. (8) Ecomwith · 2026-09
9. (9) Shopify · 2026-09
10. (10) PPC Land · 2025-10
11. (11) Dataslayer · 2026-05
12. (12) Dataslayer · 2026-05

Read also

• How to Increase Repeat Purchases and LTV Without Depending Entirely on Paid Ads