featuresoperator8 min read

How to Read Your Weekly Report

A section-by-section guide to interpreting your Bonesaw weekly report. What the numbers mean, which signals matter, and how to turn each section into a decision.

Open your latest Weekly Report and follow along with this guide section by section.

View Weekly Report

Your weekly report lands in your inbox (or waits in the dashboard). It has numbers, charts, store names, price movements, anomalies. But what are you actually supposed to do with all of it?

This guide walks through every section of the weekly report, explains what the data means in practice, and helps you figure out which parts deserve your attention and which you can safely skip. If you already have a review cadence in place, the weekly operator review playbook covers how to structure the time around this report.

The KPI Cards

The report opens with four summary numbers across the top:

  • Total Changes counts every detected change across all your watched stores during the report period. This includes price changes, new products, removals, and restocks.
  • Price Changes is a subset of total changes that only counts products where the price moved up or down.
  • Restocks counts products that went from unavailable back to available.
  • New Products counts products that appeared in a store's catalog for the first time during the period.

What to look for

The absolute numbers matter less than the trend. If you normally see 40 total changes per week and this week shows 120, something happened. Either a competitor ran a big repricing event, a new product line dropped, or seasonal inventory shifted.

Price changes deserve the most attention because they directly affect your competitive position. A week with 50 price changes but only 2 new products tells a different story than a week with 5 price changes and 30 new products.

Restocks are easy to overlook, but they signal competitor inventory health. A competitor restocking 15 products after weeks of low availability might be gearing up for a push.

When you can skip this section

If the numbers are in your normal range and nothing jumps out, spend 30 seconds here and move on. The KPI cards are a triage tool, not an analysis tool.

Top Stores

This section ranks your watched stores by how many changes each one had during the period. The store with the most activity sits at the top.

What to look for

The ranking tells you where the action is. A store that is normally quiet suddenly appearing at the top of the list is worth investigating. A store that is always at the top and stays there is behaving normally.

Pay attention to stores that drop off the list entirely. Zero changes from a competitor you are actively monitoring could mean their site had issues, or it could mean they are genuinely stable. Check the Issues section for context.

What this section does not tell you

Activity volume does not equal importance. A store with 200 changes might just be cycling seasonal inventory, while a store with 3 changes might have made a strategic price cut on your best-selling category. Use this section to decide where to look, then use the Price Movers section to understand what happened.

Top Price Movers

This is usually the most actionable section. It splits into two lists: Biggest Drops and Biggest Increases. Each entry shows the product, the store, the old price, the new price, and the percentage change.

Reading the drops

Not every price drop is a competitive threat. Ask yourself three questions for each one:

  1. Do I sell this product (or something directly comparable)? If the answer is no, note it and move on. It is useful intelligence but does not require action.
  2. Is the drop large enough to shift customer behavior? A 3% drop on a $200 product probably will not move the needle. A 25% drop on the same product might.
  3. Is this a clearance signal or a strategic price cut? If the product is end-of-life or seasonal, the drop is probably temporary. If it is a core product that was already competitively priced, this may be a sustained repositioning.

Products showing drops of 30% or more in a single period are almost always clearance or error corrections. Products dropping 5% to 15% are more likely to be deliberate competitive moves.

Reading the increases

Price increases are opportunities. A competitor raising prices creates room for you to either hold position (capturing price-sensitive buyers) or follow (improving margins).

Look for increases on high-volume products. A competitor raising the price on a product you both sell heavily is a signal you should evaluate your own pricing.

Multiple products from the same store increasing by similar percentages often means a policy-level pricing change rather than individual product decisions.

What to do with movers

For each significant mover, decide one of three things: respond now, watch for one more week, or ignore. If you are not sure, "watch for one more week" is almost always the right default. Reacting to a single week's movement without context leads to whiplash pricing.

Issues Summary

The Issues section shows problems detected across your monitored stores. Each issue has a category label and a count.

Common issue types include:

  • Site unreachable means a store returned errors or timed out during checks. One occurrence is usually transient. Multiple occurrences across several days may mean the store is having real problems.
  • WAF blocked means the store's firewall blocked the monitoring request. This occasionally happens and usually resolves on its own.
  • Product count drop means a store's visible catalog shrank significantly in a short period. This could be a site problem, a deliberate category removal, or a filtering issue.

The auto-snoozed count

Issues that have been flagged before and did not require action get auto-snoozed. The report shows how many were snoozed so you know the system is handling recurring noise. If the snoozed count is consistently high for a specific store, that store may have persistent problems worth investigating once, or it may need its monitoring settings adjusted.

When issues matter for your business

Most issues are informational. They become important when a competitor's site problems coincide with your own sales events (their downtime is your opportunity) or when persistent issues suggest a store is struggling operationally.

Anomalies

The anomaly count tells you how many unusual patterns the system detected during the period. Anomalies are different from regular changes because they represent statistically significant deviations from a store's established baseline.

Types of anomalies you might see:

  • Price spike or crash means a product's price moved far outside its normal range (3 or more standard deviations).
  • Catalog churn means an unusual number of products were added or removed.
  • Stack shift means a store's technology infrastructure changed, which sometimes precedes operational changes.

A report with zero anomalies is normal. Most weeks are normal. When anomalies do appear, they are worth at least a quick look because the system already filtered out routine variation to surface them. The anomaly detection guide explains the underlying logic and how to calibrate your response.

Stack Changes

Stack changes track shifts in the technology a store runs on. A store switching ecommerce platforms, adding a new payment provider, or changing their CDN shows up here.

Why this matters

Technology changes often precede business changes. A competitor migrating from one platform to another usually means they are investing in their online operations. A new analytics or personalization tool might signal a shift in how aggressively they are optimizing.

Most weeks this section will be empty. When it is not, it is worth a brief note for your records.

Changes by Type

This section breaks down all detected changes into categories: price changes, new products, removed products, restocks, and others. It gives you a compositional view of activity.

What the composition tells you

A week dominated by price changes suggests competitive repricing activity. A week dominated by new products suggests catalog expansion. A week dominated by removals suggests seasonal cleanup or inventory consolidation.

If one change type suddenly spikes while others stay flat, that is usually more meaningful than all types rising together. All types rising together often just means a busy retail period. For a deeper look at what each change type means and when to act on it, see the activity feed change types guide.

Choosing Your Report Period

The report supports three period lengths: 7 days, 14 days, and 30 days.

  • 7 days is best for tactical monitoring where you want to catch and respond to changes quickly. This is the default and works well for most operators.
  • 14 days smooths out weekly noise and gives you a slightly wider view. Good if your competitive landscape moves slowly and weekly reports feel repetitive.
  • 30 days is useful for monthly strategic reviews or for operators who prefer a less frequent cadence. The tradeoff is that individual changes can get buried in larger numbers.

If you are unsure, start with 7 days. You can always pull a 30-day view when you want the bigger picture.

Customizing What You See

The report has a Preferences panel that lets you toggle sections on or off. The available toggles are:

  • KPI summary
  • Top Stores
  • Price Movers
  • Issues
  • Anomalies
  • Changes by Type

If a section never gives you useful information, turn it off. A shorter report you actually read is better than a comprehensive one you skim past. You can always turn sections back on.

Most operators keep KPIs, Price Movers, and Issues on and toggle the rest based on what they are focused on that quarter.

Scheduling Delivery

PRO plans can schedule automatic report delivery to email. Set this to arrive 30 minutes before your planned review time so the report is waiting when you sit down. If you use the weekly review playbook, align the delivery schedule with whatever day you have blocked for reviews.

The Send Now button generates a fresh report on demand if you want one outside the schedule.

Frequently Asked Questions

What is the difference between this guide and the weekly review playbook? This guide explains what each report section means and how to interpret the data. The weekly review playbook covers how to structure your time when sitting down to review. Read this guide first, then use the playbook for your review process.

Why do the numbers in my report not match what I see on individual store pages? The report aggregates across all watched stores for the selected period. Individual store pages show that store's full history. The report is a cross-store summary, not a per-store detail view.

What does it mean when my report shows zero changes? Either your watched stores had no detectable activity during the period, or there were issues preventing monitoring. Check the Issues section. If it is also empty, your competitive set was genuinely quiet.

How often should I look at the report? Weekly is the intended cadence. If you find yourself checking daily, you might benefit from setting up real-time alerts for the specific events you care about, and reserving the weekly report for strategic review. If you need the raw data behind the report for deeper analysis or team sharing, the CSV export guide covers how to pull and work with price history downloads.

Can I share the report with my team? The report is visible to all users on your account. For external sharing, use the data to write a brief summary rather than sharing the interface directly.


Bonesaw is a product of MoonsLink. Monitoring capabilities described in this guide reflect publicly accessible product data collected through standard web protocols. Bonesaw does not access private or authenticated data. All data collection respects robots.txt directives and site access policies.

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