This article gathers common questions about Reports and how to address them. Use it as a guide when you are unsure how to read the numbers or how to narrow down a problem.
What kind of feature is Reports?
Reports is a feature that visualizes your messaging, friend, and conversion data as charts and tables by combining a dataset, dimensions, and metrics.
You access it from Analytics > Reports in the side menu. From Create Report, choose the dataset, display period, dimensions, metrics, and chart type to summarize the data from whatever angle you want to understand.
When you're not sure what to look at or how, ask Marketing Agent things like "Analyze the performance of my recent broadcasts" or "Tell me the trend in how my friends are growing or declining," and the agent will interpret the current situation and highlight the key points. We recommend using Reports as a supplement for when you want to dig deeper into that analysis with your own eyes.
Main components of a report
| Component | Description |
|---|---|
| Dataset | Choose from Friends, Messaging, Conversions, or Acquisition cohort |
| Display period | Choose from Last 7 Days, Last 30 Days, Last 90 Days, Last 365 Days, or a Custom range |
| Dimension | The basis for splitting the data, such as Daily, Weekly, Monthly, or Friend Source |
| Metric | The value you want to measure, such as Open Rate, Click Rate, Delivery Count, or New Friends |
| Chart type | Choose from bar chart, horizontal bar chart, line chart, area chart, combo chart, donut chart, pie chart, funnel, stat card, and table |
Which dataset should I choose?
The dataset is the type of data you analyze. There are four: Friends, Messaging, Conversions, and Acquisition cohort. Choose based on what you want to see.
| Dataset | Best suited for |
|---|---|
| Friends | When you want to see friend growth and decline and trends by acquisition source |
| Messaging | When you want to compare delivery reach, opens, and clicks across broadcasts |
| Conversions | When you want to see revenue, order count, and conversions, or outcomes via LINE (LINE attribution) |
| Acquisition cohort | When you want to compare later cumulative revenue (LTV) and paying rate for each friend acquisition source |
You use the Conversions and Acquisition cohort datasets by selecting one target LINE Official Account, available when you have a LINE Official Account with a Shopify integration or with web tracking enabled. You can change the dataset and target account from the edit screen even after creation (this resets the metrics and dimensions).
Can I track conversions without using Shopify?
Even without a Shopify integration, you can use web tracking (web conversion tracking) to measure outcomes on your own site and analyze them in the Conversions dataset.
When you install a measurement script on a page such as the purchase-complete page and record outcomes with lumo.conversion(), you can track how much your LINE broadcasts contributed to those outcomes. Beyond purchases, you can record outcomes with no monetary value, such as reservations and sign-ups. The setup steps are covered in the "Setting Up Web Conversion Tracking" article.
What happens to my old "Standard" reports?
The previous "Standard" dataset was removed from the choices for new reports, but reports you already created can still be viewed and edited—they will not disappear.
When you open an existing report built with the Standard dataset, a This is a legacy-format report notice appears. Pressing Duplicate in new format lets you rebuild it with a new dataset such as Messaging or Conversions. When you duplicate, items that cannot carry over to the new format—such as friend-related metrics—are dropped automatically, and a confirmation message appears. Some dimensions that were only available in the legacy format (such as tracking links) remain usable in your existing reports.
Delivery Count doesn't match the message delivery detail screen
The Delivery Count in the Messaging dataset and the number on the delivery detail screen use different aggregation bases, so the numbers can differ slightly.
The Delivery Count in the Messaging dataset is counted on a "reach basis"—it aggregates events where a message was treated as delivered on the LINE side. This differs from the "recipient basis" of the delivery detail screen (a count based on the list of send targets), so the two numbers do not match exactly.
Delivery Count is also counted differently from the LINE-billed message count (consumption). For the message count that affects billing, check the billing and plan screen.
Open rates and click rates are not showing
Open rates and click rates are only tallied for broadcasts where URL clicks can be measured.
Links in a message can record click and open activity because they are converted into measurement URLs. If you enable Do not convert URLs for tracking when creating a broadcast, this conversion does not happen, and that broadcast's click rate and similar figures are excluded from measurement.
For broadcasts where you want to check open rates and click rates, leave URL conversion enabled. For broadcasts already sent without measurement, you cannot retrieve the numbers afterward. When in doubt, leave the broadcast preparation to Marketing Agent, and it will set things up including the settings needed for measurement.
The numbers in Reports differ from the broadcast results
Because Reports and broadcast results are tallied at different times, the numbers can temporarily appear out of sync.
Click and open data are reflected gradually after a customer takes action. Right after a broadcast, this reflection is still in progress, so the numbers on the broadcast results screen and in Reports may not match. The numbers fall into line as time passes. If you want to check the final tally, review the figures after allowing enough time to pass since the broadcast.
Comparison can't be selected
Period comparison is available only when the first dimension is a date and the chart is a supported type.
Comparison against the "Previous period" or "Previous year" is available when the first dimension is a date (Daily/Weekly/Monthly) and the chart is a bar, horizontal bar, line, area, combo, table, or stat card chart. It is not available for pie and donut charts. If you cannot select a comparison, set the first dimension to a date and change the chart type to one of these. For rate metrics such as open rate and click rate, the change is shown as a point difference.
Can I see the breakdown of friend net growth?
Net Growth for friends does not support a breakdown in the details (the individual friend list).
Net Growth is "New Friends minus Block Count." You cannot trace who was added and who left one by one, but you can understand the drivers by aggregating New Friends and Block Count separately. Combining with the Friend Source dimension shows which source the increases and decreases are happening in.
How is LINE attribution for revenue determined?
An order with a LINE link click within the 5 days before the order is judged to have come via LINE (LINE attribution).
This attribution rests on a few assumptions:
- When there are multiple clicks within the window, the outcome is assigned to the last click closest to it (last-click)
- Attribution is possible only for orders where a LINE friend and a Shopify customer are ID-linked (with the Shopify integration), or outcomes linked by the same browser or email address (with web tracking). When linking has not progressed, the LINE Revenue Contribution Rate comes out on the conservative side
- This judgment is an estimate within what can be measured. Because the definition differs from attribution in Klaviyo and GA4, the numbers will not match
When you use the numbers externally, we recommend also indicating which report and which definition the figures come from.
The messaging attribution metrics differ from the Conversions dataset's attributed revenue
The Messaging and Conversions datasets count LINE attribution by different dates, so the numbers can differ for the same broadcast.
The attribution metrics in the Messaging dataset (LINE-Attributed Orders, LINE-Attributed Revenue, and Attributed Conversions) are aggregated by click date, while the Conversions dataset aggregates by the date the outcome occurred. For example, if a customer clicks at the end of a month and orders the next month, the Messaging dataset counts it in the click month and the Conversions dataset counts it in the month the outcome occurred. Both are correct—use whichever fits the angle you want. Note that the attribution metrics in the Messaging dataset are available only when you select one target LINE Official Account.
The numbers don't match GA4 or the Shopify admin
Lumo's reports and the numbers in GA4, the Shopify admin, and ad dashboards do not match, and that is normal—they measure different things, use different attribution approaches, and aggregate over different periods.
Lumo counts how much your LINE broadcasts contributed to revenue and outcomes, using its own definition of via-LINE, last-click, and a 5-day window. GA4 covers your entire site across all channels, and the Shopify admin aggregates all orders regardless of source. Why the numbers differ is explained in detail in the "Why Report Numbers Don't Match GA4 or the Shopify Admin" article.
What metrics and dimensions can I choose?
The metrics and dimensions you can choose vary depending on the dataset you select.
| Dataset | Examples of available items |
|---|---|
| Messaging metrics | Delivery Count, Reach, Unique Opens / Rate, Unique Clicks / Rate, Open Count / Click Count, Delivery-Driven Blocks, Link Clicks / Unique Link Clicks, LINE-Attributed Orders / LINE-Attributed Revenue / Attributed Conversions (single account only) |
| Messaging dimensions | Daily / Weekly / Monthly, LINE Account, Delivery Type, Workflows, Broadcast, Flow / Campaign, Lumo workflows, Link |
| Friends metrics | New Friends, Block Count, Net Growth, Block Rate, QR Scan Count / Unique QR Scanners |
| Friends dimensions | Daily / Weekly / Monthly, LINE Account, Friend Source, Tracking QR Code |
| Conversions metrics | Conversions, LINE Conversion Contribution Rate, Attributed Conversions, Orders, Revenue, Purchasers, Average order value, LINE-Attributed Orders, LINE-Attributed Revenue, LINE Revenue Contribution Rate |
| Conversions dimensions | Daily / Weekly / Monthly, Conversion Name, New vs repeat, Attribution Source, Attributed Campaign, Shopify Tags |
| Acquisition cohort metrics | Cohort size, Purchasers, Cumulative revenue, Average LTV, Paying rate, Conversions |
| Acquisition cohort dimensions | Friend Source, Tracking QR Code, Acquisition day / week / month |
Each metric has an "i" icon that shows its definition when pressed, which helps when you are unsure what a number means. The Messaging Workflows dimension is a unified dimension that spans Lumo workflows, Klaviyo Flows, auto-send messages, and HubSpot workflows, while Lumo workflows is a dimension that looks at only Lumo's workflows individually.
Can I view the numbers by friend source or QR code?
Choosing Friend Source or Tracking QR Code as a dimension in the Friends dataset lets you compare the numbers for each source or QR code.
With Friend Source, you can see the breakdown across LINE standard (QR, search, etc.), Message-initiated, Tracking QR code, Shopify link, HubSpot link, and Import/Migration. With Tracking QR Code, you can line up the QR Scan Count for each QR code you issued to see which campaigns are driving friend additions.
Which broadcasts led to revenue?
Choosing Attributed Campaign as a dimension in the Conversions dataset lets you line up how much revenue and outcomes each broadcast or campaign drove, by name.
To see revenue contribution per broadcast, this dimension or the LINE revenue contribution template is handy. When you have a single account selected, you can also add LINE-Attributed Orders, LINE-Attributed Revenue, and Attributed Conversions as metrics in the Messaging dataset. Alongside that, viewing open-rate or click-rate rankings in the Messaging dataset makes it easier to find broadcasts that both had a strong response and led to revenue. The portion of revenue and outcomes that can be attributed to LINE is limited to ID-linked orders (with the Shopify integration) and outcomes linked by the same browser or email address (with web tracking).
I can't select the old "number of purchases" or "purchase amount"
The "number of purchases" and "purchase amount" metrics were reference values that summed a customer's cumulative purchase history rather than revenue during the period, so they can no longer be selected in new reports.
To see revenue or orders within a period accurately, use Revenue or Orders in the Conversions dataset. If a report you created in the past includes these metrics, they continue to display, but a note appears indicating that the aggregation means something different.
Can I show a report on the dashboard?
You can add a saved report as a dashboard widget.
From the dashboard's add-widget option, choose Report and specify the target report. Because you can keep your frequently checked aggregations always visible on the dashboard, you no longer need to reopen the Reports screen each time.
I want to edit or delete a report I created
You can open a report you already created from the list to edit it, and delete the ones you no longer need.
| What you want to do | Action |
|---|---|
| Change the contents | Open the report, change the settings, and click Save Report |
| Try a different angle | Open the report and Duplicate it, then change the settings on the duplicated report |
| Export it | Open the report and click Export CSV |
| Delete it | Select the report you want to delete, and click Delete in the confirmation dialog |
A deleted report cannot be restored. If you simply want to redo the settings, we recommend adjusting through editing rather than deleting.