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Axis - Dashboards

Help content for LayerFive Axis - Dashboards
By Sushil Goel
7 articles

Executive Summary Dashboard

Executive Summary Dashboard The Executive Summary Dashboard is the top-level view of your account. It reports account totals for a period you choose, measured against a period you compare it to, so you learn whether the business moved and by how much before you open a channel dashboard to find out why. Navigation: Dashboards > Executive Summary What this dashboard does not do The figures here are account totals. Every card combining advertising data blends your connected platforms into one number, shown in the source line under the card name. To compare one advertising platform against another, use the Ads Performance Trend at the bottom of this dashboard, which takes one source at a time, or open the dashboard for the platform you want. Use it to check | Question | Where to look | | ---------------------------------------------------------- | ------------------------------------------------------- | | Did sales move against the previous period? | Gross Sales card, comparison row | | Are we tracking against the revenue target? | Gross Sales card, target bar | | How much revenue did every advertising dollar return? | MER card | | How many first-time buyers did we win? | New Customers Acquired card | | Is revenue growth coming from first-time buyers? | New Customer Revenue series in Revenue & Ad Spend Trend | | Did a change happen on one day or across the whole period? | Revenue & Ad Spend Trend | | How did one advertising platform perform day by day? | Ads Performance Trend, using the Source selector | | What does a customer cost against what they return? | CAC card read against the CLTV card | | Has Juno flagged unusual movement? | Outlier banner at the top of the page | The KPI cards Twelve cards sit at the top of the dashboard in three rows. The source line under each card name lists the systems feeding it. | Card | Sources | What it tells you | | ---------------------- | --------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------- | | Gross Sales | Shopify | Total value of sales in the selected range | | Total Orders | Shopify | Number of orders placed in the range | | AOV | Shopify | Average order value | | MER | Shopify, Bing Ads, Facebook Ads, Google Ads | Marketing efficiency ratio. Gross Sales divided by Total Ad Spend. Revenue earned for every advertising dollar spent across the whole business | | L5 ROAS | LayerFive, Bing Ads, Facebook Ads, Google Ads | Return on ad spend under LayerFive attribution | | ROAS | Bing Ads, Facebook Ads, Google Ads | Return on ad spend as the advertising platforms report it | | L5 CPA | LayerFive, Bing Ads, Facebook Ads, Google Ads | Cost per acquisition under LayerFive attribution | | CPA | Bing Ads, Facebook Ads, Google Ads | Cost per acquisition as the advertising platforms report it | | New Customers Acquired | Shopify | First-time buyers in the range | | Total Ad Spend | Bing Ads, Facebook Ads, Google Ads | Combined spend across connected advertising platforms | | CAC | Shopify, Bing Ads, Facebook Ads, Google Ads | Customer acquisition cost. Total Ad Spend divided by New Customers Acquired | | CLTV | Shopify | Customer lifetime value | The marketing efficiency ratio and customer acquisition cost formulas above were verified against live figures. Reading a card Every card carries the same four parts. | Part | What it tells you | | -------------- | ------------------------------------------------------------------------------------------------ | | Source line | The systems feeding the number, listed under the card name | | Source icon | Top right of the card. Two appear across the twelve cards, a Shopify icon and a square root icon | | Comparison row | The same metric for the period you compare against, with the percent change | | Target row | Either a target with a progress bar, or the words "No target set" | The comparison arrow reads green for an improvement and red for a decline, judged per metric. A fall in cost per acquisition reads green. A fall in Gross Sales reads red. Reading targets A card with a target set shows the target value, a progress bar, and a percentage complete. The bar fills as you move toward the target. A card with no target set shows the words "No target set" and no bar. Reading LayerFive attribution against platform attribution Four cards come in pairs. L5 ROAS sits beside ROAS, and L5 CPA sits beside CPA. Each pair measures the same thing two different ways, and the two halves will not agree. | Figure | Where it comes from | | ------------------ | ---------------------------------------------- | | ROAS and CPA | Each advertising platform, reporting on itself | | L5 ROAS and L5 CPA | LayerFive | Expect the LayerFive figures to credit advertising with fewer conversions than the platforms claim between them. Read the direction per pair rather than assuming one set is uniformly higher. | Pair | How the LayerFive figure reads | | -------------------- | --------------------------------------------------------------------------- | | L5 ROAS against ROAS | Lower, because fewer conversions are credited against the same spend | | L5 CPA against CPA | Higher, because the same spend is divided across fewer credited conversions | Both differences come from the same cause and point the same way. Neither figure is broken. Revenue & Ad Spend Trend Your selected range day by day, with three series. | Series | Axis | What it tells you | | -------------------- | ----- | --------------------------------------------------- | | Ad Spend | Right | Daily advertising spend | | Gross Revenue | Left | Daily revenue | | New Customer Revenue | Left | The portion of daily revenue from first-time buyers | Hover over any day to see all three figures for the date. Read the lines against each other rather than on their own. | What you see | What it suggests | | ------------------------------------------------------------ | ----------------------------------------------------------------------------------------- | | Revenue and spend rising together | Expected. No action | | Revenue rising while spend holds steady | Efficiency improving | | Spend rising while revenue holds flat | Efficiency falling. Open Ads Performance Trend to find the platform | | Gross Revenue climbing while New Customer Revenue stays flat | Growth is coming from existing customers. Check this before increasing acquisition budget | Ads Performance Trend The same period, one advertising platform at a time, with cost plotted against a metric you select. Source selects the advertising platform. [Patch point: confirm the full list of options in the Source dropdown. The live dashboard shows Facebook Ads selected, and the KPI card source lines name Bing Ads, Facebook Ads, and Google Ads. An earlier version of this article listed TikTok Ads, which remains unverified.] Attribution selects what is plotted against cost: Ads Clicks, AOV, Conversion Value, Cost/Order, Impressions, ROAS, Conversions. Cost reads against the right axis and your selected metric against the left, so the two compare even where the scales differ widely. | What you see | What it suggests | | ---------------------------------------------------- | --------------------------------------------------------------------------------------- | | The two lines tracking each other | Expected. No action | | The gap between them widening | You are paying more for the same result. Worth checking the Ad Fatigue agent under Juno | | A single-day spike in cost with no matching movement | Check Notes for a launch or a budget change recorded on the date | How to Use the Executive Summary to Make Decisions 1. Set your period and your comparison mode first. The comparison mode changes every percentage on the page, so fix it before reading anything. 2. Read Gross Sales against its target and against the comparison period. This tells you whether a problem exists. 3. Read MER. One figure for whether marketing pays for itself overall, independent of how any platform attributes. 4. Open Revenue & Ad Spend Trend to learn whether a move happened on one day or across the period. A one-day move often has a cause recorded in Notes. 5. Open Ads Performance Trend and step through the sources one at a time to find which platform moved. 6. Before changing budget, read the LayerFive pair alongside the platform pair, and read CAC against CLTV to confirm a new customer still returns more than they cost. What to Check and When | When | What to check | | --------------------------------- | ------------------------------------------------------------------------------------------------------------------------------ | | Weekly | Gross Sales and Total Orders against target and against the comparison period | | Weekly | MER, as the single clearest measure of whether marketing pays for itself | | Weekly | Whether the outlier banner is showing anything | | Monthly | CAC against CLTV. An acquisition cost approaching lifetime value means you pay nearly as much to win a customer as they return | | Monthly | New Customers Acquired as a share of Total Orders | | Monthly | Whether your targets still reflect the current plan | | Before a budget decision | Both attribution pairs, and the CAC against CLTV comparison | | After a campaign launch or a sale | Revenue & Ad Spend Trend for the days affected, with a note recorded against the date | | When a number moves sharply | Revenue & Ad Spend Trend first, then Ads Performance Trend | Troubleshooting | Symptom | Likely cause | Fix | | --------------------------------------------------------------- | ------------------------------------------------------------------------------------------ | --------------------------------------------------------------------------------------- | | A card shows no value | The source is not connected, or no data exists in the selected range | Check the sources listed on the card under Integrations | | L5 ROAS reads lower than ROAS, and L5 CPA reads higher than CPA | LayerFive credits advertising with fewer conversions than the platforms claim between them | Expected. No action | | The percent change looks wrong | The comparison range differs from the one you assumed | Open the date range selector and check the active compare mode | | Weekly figures swing with no obvious cause | A plain previous-period comparison misaligns the days of the week | Switch the compare mode to Previous period (match day of week) | | A card reads "No target set" | No target is defined for the metric | [Patch point: link to wherever targets are set] | | Ad spend records but little revenue is attributed | A tracking or attribution gap rather than a performance problem | Check your storefront tag is installed and your Conversions API setup is complete | | Gross Sales does not match Shopify | Different date boundaries between the two systems | [Patch point: confirm where account timezone is configured before naming a screen here] | Common Questions Why do the LayerFive figures differ from what Facebook or Google reports? Each advertising platform reports on itself, and none of them knows what the others recorded. LayerFive reports across all of them together. Expect LayerFive to credit advertising with fewer conversions, which reads as a lower return on ad spend and a higher cost per acquisition. Both sets of figures are doing what they were built to do. Does adding up what each platform reports give me my total? No. Platforms report independently, so a sale influenced by two of them is recorded by both. Adding the totals counts some sales more than once. Which figure do I share with a client or the board? Name the source whenever you quote one. Say LayerFive attribution or say the platform name. A figure quoted without its source invites a challenge you cannot answer later, because the two will not match and both are correct. The dashboard and Shopify show different sales figures. Which is right? Check the date range first, and confirm both systems close the day at the same hour. Most differences come from one system using a different boundary. If the gap survives both checks, raise it with support rather than reconciling by hand. Why did the comparison numbers change when I did not touch the date range? A rolling preset moved. "Last 7 Days" advances every day, and the comparison period advances with it. What does the outlier banner at the top of the page mean? Juno found movement outside the usual range for a metric within the last 7 days. Select "Click here to view" to open the Outliers screen. Treat each one as a prompt to look rather than a verdict, and check the figure yourself before acting on it. Related Articles - Meta Performance Dashboard - Google Performance Dashboard - Shopify Order Analytics Dashboard - Cohort Analysis Dashboard - View Dashboards - Create Custom Dashboard - CAPI

Last updated on Sep 21, 2026

Meta Performance Dashboard

Overview The Meta Performance dashboard shows Meta advertising performance at the account, campaign, and time-series level. Use it to check spend efficiency, catch creative fatigue, and decide where to scale or cut budget. https://youtu.be/WJ-uHoK90j4 Access Go to Dashboards. Select Meta Performance. Date range and comparison Set a reporting period using the date range selector. Enable Show Comparison to overlay the same metrics from a previous period, so you can see whether performance is trending up or down rather than just reading a single snapshot. Filter by campaign Search or select individual campaigns, or select all, to isolate performance instead of reading it blended across the account. Use this before making a budget decision on a specific campaign. KPI summary cards | Metric | Use it to check | | ----------------- | ------------------------------------ | | Spend | Total budget deployed in the period | | Purchases | Conversion volume | | Cost Per Purchase | Efficiency of spend per conversion | | ROAS | Platform-reported return on ad spend | | CPM | Cost efficiency of impressions | | Link Clicks | Traffic volume driven by ads | You can customize which KPIs appear. Select up to 6, remove any, and reorder them. Keep only the metrics you actually act on. A card you never reference during a review is noise. Key KPIs trend chart Visualizes selected KPIs over time, with daily granularity and comparison overlays. Use this to spot when a metric started moving, not just that it moved. Performance by time Switch the reporting table between Year, Month, Week, and Day views. | Metric group | Includes | | ------------ | ---------------------------------- | | Delivery | Spend, Reach, Impressions, CPM | | Engagement | Link Clicks, CTR, CPC | | Conversion | Purchases, CVR, CPA, Revenue, ROAS | Use daily granularity when you're diagnosing a sudden change. Use weekly or monthly when you're reporting a trend. Campaign performance table Campaign-level breakdown of Cost, Impressions, CPM, Clicks, CTR, CPC, CPA, Purchases, Revenue, CVR, and ROAS. Sortable, paginated. This is where you find which specific campaign is dragging or driving account performance, after the summary cards told you something changed. What to check and when | Situation | Where to look | | ---------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------- | | Deciding whether to scale a campaign | Campaign Performance table, sort by ROAS and CPA together | | CTR or CPC trending worse over weeks | Likely creative fatigue, check Key KPIs trend chart for the inflection point | | Spend up, purchases flat | Compare Spend against Purchases in the same table, isolate by campaign filter | | Reporting weekly to a client | Performance by Time, Week view, with Show Comparison enabled | | Client asks why platform ROAS differs from LayerFive attribution | This dashboard shows platform-reported ROAS only. Compare against Executive Summary L5 ROAS for the attribution gap. | Troubleshooting | Issue | Check | | ---------------------- | ------------------------------------------------------------------------------------------------------ | | Dashboard not updating | Meta integration is syncing. Date range is valid. Campaign filters are applied correctly. | | Missing campaign data | Meta integration is connected. Campaign is active in the selected date range. Permissions are enabled. | | KPI cards not saving | No more than 6 KPIs selected. Changes were applied, not just selected. | | Trend data looks off | Comparison mode setting. Campaign filter. Reporting date range. | Related dashboards - Executive Summary Dashboard - Google Performance Dashboard - Shopify Order Analytics Dashboard - Cohort Analysis Dashboard

Last updated on Jul 20, 2026

Google Performance Dashboard

Overview The Google Performance dashboard shows Google Ads campaign performance at the account, campaign, and time-series level. Use it to check spend efficiency, catch underperforming search campaigns, and decide where to scale or cut budget. https://youtu.be/tq3sKGdNZhc Access Go to Dashboards. Select Google Performance. Date range and comparison Set a reporting period using the date range selector. Enable Show Comparison to overlay the same metrics from a previous period, so you can see whether performance is trending up or down rather than just reading a single snapshot. Filter by campaign Search or select individual campaigns, or select all, to isolate performance instead of reading it blended across the account. Use this before making a budget decision on a specific campaign. KPI summary cards | Metric | Use it to check | | ----------------- | ------------------------------------ | | Spend | Total budget deployed in the period | | Purchases | Conversion volume | | Cost Per Purchase | Efficiency of spend per conversion | | ROAS | Platform-reported return on ad spend | | CPM | Cost efficiency of impressions | | Link Clicks | Traffic volume driven by ads | You can customize which KPIs appear. Select up to 6, remove any, and reorder them. Keep only the metrics you actually act on. Key KPIs trend chart Visualizes selected KPIs over time, with daily granularity and comparison overlays. Use this to spot when a metric started moving, not just that it moved. Performance by time Switch the reporting table between Year, Month, Week, and Day views. | Metric group | Includes | | ------------ | ---------------------------------- | | Delivery | Cost, Impressions, CPM | | Engagement | Clicks, CTR, CPC | | Conversion | CPA, Purchases, Revenue, CVR, ROAS | Use daily granularity when you're diagnosing a sudden change. Use weekly or monthly when you're reporting a trend. Campaign performance table Campaign-level breakdown of Cost, Impressions, CPM, Clicks, CTR, CPC, CPA, Purchases, Revenue, CVR, and ROAS. Sortable, paginated. This is where you find which specific campaign is dragging or driving account performance, after the summary cards told you something changed. Google-specific note: this is the primary view for search campaign efficiency. If ROAS is inconsistent across campaigns with similar spend, check CPC and CTR here before touching bids, since a low CTR usually points to ad relevance, not budget. What to check and when | Situation | Where to look | | ---------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------- | | Deciding whether to scale a campaign | Campaign Performance table, sort by ROAS and CPA together | | CTR or CPC trending worse over weeks | Key KPIs trend chart, find the inflection point | | Spend up, purchases flat | Compare Spend against Purchases in the same table, isolate by campaign filter | | Reporting weekly to a client | Performance by Time, Week view, with Show Comparison enabled | | Client asks why platform ROAS differs from LayerFive attribution | This dashboard shows platform-reported ROAS only. Compare against Executive Summary L5 ROAS for the attribution gap. | Troubleshooting | Issue | Check | | ---------------------- | ------------------------------------------------------------------------------------------------------------ | | Dashboard not updating | Google Ads integration is syncing. Date range is valid. Campaign filters are applied correctly. | | Missing campaign data | Google Ads integration is connected. Campaign is active in the selected date range. Permissions are enabled. | | KPI cards not saving | No more than 6 KPIs selected. Changes were applied, not just selected. | | Trend data looks off | Comparison mode setting. Campaign filter. Reporting date range. | Related dashboards - Executive Summary Dashboard - Meta Performance Dashboard - Shopify Order Analytics Dashboard - Cohort Analysis Dashboard

Last updated on Jul 20, 2026

Shopify Order Analytics Dashboard

Overview The Shopify Order Analytics dashboard shows order-level detail: revenue by customer type, coupon performance, and attribution touchpoints per order. Use it when a summary dashboard tells you something changed and you need to find the specific orders or segment behind it. https://youtu.be/VNkEJMIw46M Access Go to Dashboards. Select Shopify Order Analytics. Date range Controls the reporting period across the whole dashboard, including KPI cards, breakdowns, and the orders table. KPI summary cards | Metric | Use it to check | | ------------------------------ | ----------------------------------- | | Gross Sales | Total revenue for the period | | New Customer Gross Sales | Revenue from first-time buyers | | Returning Customer Gross Sales | Revenue from repeat buyers | | Total Orders | Order volume | | New Customer Orders | Order volume from first-time buyers | | Returning Customer Orders | Order volume from repeat buyers | | Total Customers | Unique customers in the period | | New Customers Acquired | First-time customer count | | Returning Customers | Repeat customer count | Click any KPI value to open a drilldown breakdown by Shopify order tag: Tag, Order Percentage, Orders, Revenue Percentage, Revenue. Use drilldowns to find which product lines, campaigns, or tags are actually driving a number, not just that the number moved. Orders Analytics table Order-level detail: Order ID, LayerFive Person ID, Order Type, Coupon Code, Last Touchpoint, Number of Touchpoints, Revenue. Filters | Filter | Use it to | | ------------- | -------------------------------------------------------------------------------------------- | | Media Source | Isolate orders by traffic source: Facebook Ads, Google Ads, Email, Direct, TikTok, Pinterest | | Coupon Code | Find orders tied to a specific promo or discount code | | Customer Type | Segment by All, New Customer, Returning Customer | | Sort By | Order by Order ID, Revenue, or Number of Touchpoints | | Order By | Low to High or High to Low | Export Download filtered table data for reporting, attribution analysis, revenue audits, or finance reconciliation. Filters apply before export, so narrow first. Attribution view This table shows last-touchpoint attribution, multi-touch paths, coupon-assisted conversions, and touchpoint count before purchase. Use it to see the path a customer took, not just which channel gets final credit. What to check and when | Situation | Where to look | | -------------------------------------------- | ----------------------------------------------------------------------------------------------- | | Revenue dropped, unclear why | KPI drilldown by tag to isolate the segment, then Orders Analytics filtered to that period | | Coupon campaign performance review | Filter Orders Analytics by Coupon Code, sort by Revenue | | New vs returning customer comparison | New Customer Gross Sales and Returning Customer Gross Sales cards, side by side | | Investigating a specific order | Orders Analytics table, search by Order ID or LayerFive Person ID | | Building reorder or repeat-purchase analysis | Orders Analytics table, filter Customer Type to Returning Customer, export for further analysis | | B2B or wholesale orders skewing totals | Filter or export by order tag, exclude before analyzing DTC performance | Troubleshooting | Issue | Check | | -------------------------- | -------------------------------------------------------------------------------------------------------------------------------- | | Missing order data | Shopify integration is connected. Sync completed. Date range has available data. | | Revenue totals look wrong | Filters are configured correctly. Customer Type selection is accurate. Sort/order settings aren't hiding rows you expect to see. | | Drilldown popup won't open | Selected KPI supports drilldown. Data exists for the period. Refresh the browser session. | | Export not working | Table has data to export. Browser downloads are enabled. Account has export permissions. | Related dashboards - Executive Summary Dashboard - Meta Performance Dashboard - Google Performance Dashboard - Cohort Analysis Dashboard

Last updated on Jul 21, 2026

Cohort Analysis Dashboard

Overview The Cohort Analysis dashboard groups customers by acquisition month and tracks their revenue over time. Use it to see whether customers acquired in a given month keep spending, and whether your ad spend against that cohort stays efficient. https://youtu.be/Jt9Tg-BD8Sk Access Go to Dashboards. Select Cohort Analysis. Choosing an analysis type The dashboard has two modes. Switch between them using the Cohort Analysis Type selector. | Mode | Question it answers | Formula | | ------------- | ----------------------------------------------------------------------- | ------------------------------ | | MER Analysis | Is total marketing spend efficient across all channels for this cohort? | MER = Total Revenue ÷ Ad Spend | | ROAS Analysis | Is paid advertising specifically driving return for this cohort? | ROAS = Revenue ÷ Ad Spend | Higher values mean better efficiency in both modes. MER pulls in all revenue against all spend. ROAS isolates paid ad performance. If blended MER looks weak but ROAS looks strong, the gap is usually organic or retention revenue not being captured, not an ad problem. What the MER table looks like: What the ROAS table looks like: Metrics shown per mode | Metric | MER view | ROAS view | | ---------------------- | -------- | --------- | | Total Revenue | Yes | Yes | | Ad Spend | Yes | Yes | | Effective MER | Yes | No | | Effective YTD ROAS | No | Yes | | Monthly cohort revenue | Yes | Yes | Setting the date range | Option | Shows | Use when | | --------- | --------------------------------------- | ---------------------------------------------------------- | | 12 Months | Most recent 12-month cohort performance | You need a fast read on recent acquisition quality | | 18 Months | Extended historical cohort performance | You're evaluating long-term retention or seasonal patterns | Reading the cohort table Each row is one acquisition cohort, labeled by month (example: May 2026 Cohort). Columns show how that cohort's revenue developed month by month after acquisition. | Column | Shows | | ---------------------------------- | -------------------------------------------------- | | Total Revenue | Cumulative revenue generated by the cohort to date | | Ad Spend | Total ad spend attributed to acquiring the cohort | | Effective MER / Effective YTD ROAS | Efficiency metric for the selected mode | Heatmap Cells are shaded by revenue contribution. Darker cells mean higher revenue. Use the shading to scan for strong and weak cohorts without reading every number. What to look for | Pattern | What it means | | -------------------------------------- | ----------------------------------------------------------------------------------------- | | Revenue holds or grows in later months | Strong retention, cohort is compounding in value | | Revenue drops sharply after month 1-2 | Weak retention, one-time buyers, or acquisition targeting problem | | High Ad Spend, low Total Revenue | Cohort was expensive to acquire and isn't paying back | | Efficiency improves in older cohorts | Recent acquisition may be less efficient than historical, worth investigating channel mix | Troubleshooting | Issue | Check | | ------------------------- | ------------------------------------------------------------------------------------------------------------- | | No cohort data showing | Data integrations are connected. Reporting period has data. Customer acquisition tracking is enabled. | | Revenue values look wrong | Correct analysis type (MER or ROAS) is selected. Date range is correct. Data sync completed. | | Table won't load | Dashboard permissions are enabled. Refresh the browser session. Confirm reporting data exists for the period. | Related dashboards - Executive Summary Dashboard - Meta Performance Dashboard - Google Performance Dashboard - Shopify Order Analytics Dashboard

Last updated on Jul 17, 2026

Create Custom Dashboard

Overview Custom Dashboards let you build a reporting view from scratch using metrics, reports, charts, and content blocks from any connected data source. Use this when the prebuilt dashboards (Executive Summary, Meta Performance, Google Performance, Shopify Order Analytics, Cohort Analysis) don't match how a specific client or team needs to see their data. https://youtu.be/sY-qeZUmPnA Access Go to Dashboards. Select Create Custom Dashboard. Naming the dashboard Set a Dashboard Name and Dashboard Description. The description should state the dashboard's purpose, not just describe its contents. Example: "Tracks blended marketing performance across all advertising platforms," not "Shows ad metrics." Date range A global date range selector in the top-right corner controls reporting period across the whole dashboard. Step-by-step: adding a metric widget 1. Click Add, then Add Widget. 2. Select the Metrics category. 3. Filter by data source (Shopify, Google Analytics, Google Ads, Facebook Ads, TikTok Ads, Bing Ads, Klaviyo) or search by metric name. 4. Select one or more metrics. Multi-select is supported, so pull in a full set (example: Revenue, ROAS, CPA, AOV) in one pass instead of repeating the flow four times. 5. Optionally group selected metrics into a labeled section before adding, so they land organized rather than as a loose row of cards. 6. Click Add Selected. Widgets appear on the dashboard canvas immediately. Step-by-step: adding a report widget 1. Click Add, then Add Widget. 2. Select the Reports category. 3. Choose a source: Facebook Ads, Google Ads, Shopify, LayerFive, or TikTok. 4. Select a prebuilt report block. Reports differ from Metrics: a metric is a single KPI card, a report is a pre-assembled table or breakdown you'd otherwise have to build manually. 5. Click Add Selected. Step-by-step: adding a chart 1. Click Add, then Create Chart. 2. Choose a chart type: line, trend, performance comparison, ROAS trend, or spend trend. Flagging here: the button says "Create Chart" but the underlying feature list describes it as adding previously created charts, not building new ones from raw metrics inline. Confirm in-product which behavior is real before this goes live. If it's insert-only, step 2 should read "select an existing chart" instead of "choose a chart type," and that's a one-line fix once confirmed. 1. Click Add. Chart appears on the canvas at full width by default. Step-by-step: adding a content block 1. Click Add, then Create Content Block. 2. Choose block type: section intro, KPI explanation, note, or team instruction. 3. Enter your text. 4. Click Add. Use content blocks to explain what a metric means or why a section exists, especially on dashboards a client will open without you walking them through it live. Step-by-step: adding creative reports 1. Click Add, then Add Widget. 2. Select the Creative Reports category. 3. Choose from Video Ad Performance, Creative Testing, or Creative Comparison. 4. Click Add Selected. Organizing and formatting sections Every section you create carries its own settings, accessed from the section's control menu. | Setting | Options | Effect | | --------------- | -------------------------------------------- | -------------------------------------------------------------------- | | Expand/Collapse | Enabled or disabled | Lets viewers fold long sections out of view without deleting content | | Grid Width | Full Width, Half Width, Custom span | Controls how many widgets sit side by side | | Alignment | Left, Center, Right | Positions section content within its width | | Background | Header background, body background, gradient | Visually separates sections on longer dashboards | | Text | Title color, subtitle color | Matches client branding if needed | To reorder: drag any section or widget to a new position. Changes apply live on the canvas, not just on save. Practical pattern: build top-down in priority order. Put the metric or chart the viewer needs first at the top in Full Width, then use Half Width sections below for supporting detail. Don't build alphabetically or by data source, build by what the viewer needs to see first. Saving Click Save. The dashboard appears in your dashboard list immediately. What to check and when | Situation | Do this | | ------------------------------------------- | -------------------------------------------------------------------------------------------------------------- | | Building a client-facing exec dashboard | Group Revenue, ROAS, and MER metrics into one Executive Summary-style section | | Client only cares about one or two channels | Skip prebuilt dashboards, build a Custom Dashboard with only those sources | | Team needs shared context, not just numbers | Add Content Blocks explaining what each KPI means and why it's tracked | | Dashboard feels cluttered | Split into more sections with Grid Width set to Half Width, don't stack everything into one full-width section | Troubleshooting | Issue | Check | | -------------------------- | ----------------------------------------------------------------------------------------------------------------- | | Widgets not appearing | Data source connection is active. Widget was actually selected, not just previewed. User permissions are enabled. | | Chart save button disabled | Chart name is entered. Required metrics are selected. | | Dashboard not saving | All required fields are completed. Browser session is active. Network connection is stable. | Related dashboards - Executive Summary Dashboard - Meta Performance Dashboard - Google Performance Dashboard - Shopify Order Analytics Dashboard - Cohort Analysis Dashboard

Last updated on Jul 22, 2026

View Dashboards

Overview The View Dashboards page provides centralized access to all saved dashboards within the platform. Users can: - View existing dashboards - Open dashboards - Edit dashboards - Delete dashboards - Create new dashboards - Review dashboard widget summaries This page acts as the primary dashboard management hub. Accessing View Dashboards Steps 1. Navigate to Dashboards 2. Select View Dashboards Dashboard Listing Page The View Dashboards page displays all available dashboards as individual dashboard cards. Each card contains: - Dashboard name - Dashboard description - Widget summary - Edit option - Delete option Dashboard Cards Each dashboard is displayed in a card layout for quick identification and management. Dashboard Information Each dashboard card displays the following information: Dashboard Name The dashboard title helps users quickly identify dashboard purpose. Examples: - Blended ROAS Dashboard - Shopify Sales Summary - Creative Reporting - Business Performance Dashboard Description A short summary explains the dashboard contents and reporting purpose. Widget Summary Each dashboard card displays a quick widget count summary. Metrics Count Displays the number of metric widgets added to the dashboard. Reports Count Displays the number of reports included in the dashboard. Charts Count Displays the number of charts configured inside the dashboard. Creating a New Dashboard Users can create a new dashboard directly from the View Dashboards page. Steps 1. Click Create New Dashboard 2. Configure dashboard layout 3. Add widgets and sections 4. Save the dashboard Opening a Dashboard To access a dashboard: 1. Click on the dashboard card 2. The selected dashboard opens in dashboard view mode Editing Dashboards Users can modify existing dashboards using the Edit option. Steps 1. Click the Edit icon on a dashboard card 2. The dashboard opens in edit mode 3. Make required changes 4. Save the dashboard Editable Dashboard Components Users can edit: - Dashboard name - Dashboard description - Sections - Widgets - Charts - Content blocks - Reports - Layout settings Deleting Dashboards Users can permanently remove dashboards using the Delete option. Steps 1. Click the Delete icon on a dashboard card 2. Confirm deletion 3. The dashboard is removed from the dashboard list Dashboard Organization The View Dashboards page helps users organize dashboards based on reporting needs. Example Dashboard Categories Executive Dashboards High-level KPI reporting dashboards for leadership teams. Examples: - Executive Summary - Business Performance Advertising Dashboards Track paid media performance across advertising platforms. Examples: - Meta Ads Performance - Google Ads vs Facebook - Weekly Ad Performance Ecommerce Dashboards Monitor Shopify sales and order performance. Examples: - Shopify Sales Summary - Shopify + Blended Performance Creative Reporting Dashboard Analyze creative asset performance and ad fatigue. Examples: - Creative Reporting - Facebook Ads Fatigue Monitoring Dashboard Navigation Users can quickly navigate between dashboards from the View Dashboards page. Dashboard Benefits Using centralized dashboard management helps users: - Maintain organized reporting structures - Reduce duplicate reporting - Improve reporting accessibility - Simplify cross-team collaboration - Monitor multiple business areas efficiently Recommended Dashboard Structure Executive Reporting Use concise KPI-focused dashboards for leadership review. Marketing Reporting Group advertising metrics and trend charts together. Ecommerce Reporting Separate Shopify and customer analytics dashboards. Creative Reporting Maintain dedicated dashboards for ad creative analysis. Best Practices - Use clear dashboard names - Add meaningful descriptions - Avoid duplicate dashboards - Organize dashboards by business function - Regularly review outdated dashboards - Use concise widget combinations Common Use Cases Daily Performance Monitoring Quickly review advertising and sales KPIs. Team Reporting Create dashboards for specific teams or departments. Cross-Platform Analysis Compare multiple marketing platforms within one reporting workspace. Leadership Reporting Provide simplified executive-level business visibility. Troubleshooting Dashboard Not Opening Verify: - User permissions are enabled - Dashboard still exists - Browser session is active Dashboard Missing Check: - Dashboard was not deleted - Correct workspace is selected - Filters are not hiding the dashboard Unable to Edit Dashboard Ensure: - User has edit permissions - Dashboard is not locked - Session has not expired Unable to Delete Dashboard Verify: - User has administrative permissions - Dashboard is not protected by role restrictions Related Articles - Create Custom Dashboard - Executive Summary Dashboard - Meta Performance Dashboard - Google Performance Dashboard - Shopify Analytics Dashboard - Cohort Analysis Dashboard

Last updated on Jul 03, 2026