> For the complete documentation index, see [llms.txt](https://docs.maker.co/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.maker.co/features/maker-insights.md). # Maker Insights
*** ### What can you do in Insights * See **top-level performance trends** (Pageviews, Unique Visitors, Avg. Time on Page, CTR, clicks) * Review performance across all Maker content in an **organization-level dashboard,** per product * Drill into a specific project to see **page-level metrics** * Use a **heatmap overlay** to visualize engagement on the page * Get **element-level metrics** (including **eCTR**) to understand what users engage with * Understand **scroll depth** (how far users make it down the page) * Connect **Google Analytics, Google Ads, and Meta Ads** to see that data alongside your Maker performance * Ask **Ask Maker**, our AI assistant, plain-language questions about your site and campaign performance * Build and save **Custom Reports** for the metrics you check most \*some features may vary based on the Maker product used
***For features listed as Beta, please contact Maker support for early access*** *** ### Navigating Insights The left-hand navigation in Insights is organized into a few sections: * **Ask Maker** – opens the AI assistant panel, where you can ask questions about your data in plain language * **Products** – Ai, Pages, and Nav, for viewing performance by product * **Sources** – connect and view data from outside platforms, including Google Ads * **Custom Reports** (Beta) – build and save reports tailored to what you want to track * **Recent chats** – your past conversations with Ask Maker, so you can pick up where you left off *** ### Organization-level Insights Use the Dashboard to view overall performance for a selected organization and quickly spot which projects are driving results.
#### Organization switcher Use the organization dropdown at the top to switch between organizations/workspaces. #### Date range + Apply Select a date range, then click **Apply** to refresh all metrics and charts. #### Top-level metrics At the top you’ll see trend charts for: * **Pageviews** * **Unique Visitors** * **Avg. Time on Page** * **CTR** * **Clicks** #### Project table The table shows the list of Stories/Projects in the selected organization, including metrics like Pageviews, Unique Users, CTR, Clicks, and Avg Duration.
#### Filter by Collections If you've built collections in Maker, you can use them to filter insights. #### **Download CSV** Export reports as a CSV file. *** ### Story/Project-level Insights Click into any Story/Project to view page-level trends plus a visual overlay of engagement on the page itself.
#### Page-level metrics At the top you’ll see a snapshot of key page metrics (with trend lines) for the selected date range. #### Date range Use the date picker to adjust the reporting window. #### Device toggle (Desktop / Mobile) Switch the device view to see device-specific metrics and overlays, so you’re always viewing performance for that device. When you change device: * The **top-level metrics update** * The **heatmap/overlay updates**
#### Outbound Click Insights Depending upon where the user has clicked on the page, this is aggregated data on the URL level. #### Heatmap toggle Turn on the heatmap to visualize engagement directly on the page. #### Scroll depth The scroll indicator shows how far users scroll, based on the **number of unique users** reaching each depth. #### Section Views We consider the section view if even one element inside the section is visible, essentially the maximum of all elements within a section. #### Element-level insights When the heatmap is on, click/hover an element to open an **Element Insight** panel showing: * **eCTR** * **Clicks** * **Element Views**\ …and supporting context metrics (like page-level totals) for comparison. *** ### Understanding eCTR **eCTR (Element Click-Through Rate)** helps answer: *“When users actually see this element/section, how often do they click it?”* In practice: * **Element Views / Section Views** represent how many times something was *viewed* (often estimated using pageviews and scroll depth). * **eCTR** is clicks / element or section views. *** ## Data Sources Insights isn’t limited to your Maker data anymore. Under **Sources** in the left nav, you can connect outside platforms so their metrics show up alongside your Maker performance: * **Google Analytics** – top pages, traffic, and where visitors drop off * **Google Ads** (Beta) – ad spend, ROAS, cost-per-click, and conversion trends across your campaigns Click **Connect** next to a source to link the account. Once connected, that source's data becomes available both in its own report and as something you can ask **Ask Maker** about directly. #### Google Ads Insights (Beta) Once Google Ads is connected, select it under **Sources** to see a full ad performance report for the selected account and date range: * **Top metrics**: Spend, Revenue, Avg. CPC, Conversions, and Search Impression Share, each with a trend line and change vs. the prior period * **Campaign performance**: a table of campaigns, with a callout for ones falling below their ROAS target so you know where to look first * **Signal-level performance**: switch between Keywords, Search Terms, Audiences, and Landing Pages to see what's working and what's not, including a callout for high-traffic, low-converting keywords worth reviewing *** ### Ask Maker\* (Beta) Ask Maker is an AI assistant built into Insights. Instead of digging through dashboards, you can ask it questions in plain language and get an answer pulled from your connected data. To get started, click **Ask Maker** in the left nav. You'll see suggested questions for each data source, for example: * **Maker Insights** – "How are my AI sites performing?" * **Google Analytics** – "What are my top pages this month?" * **Google Ads** – "How is my ad spend performing?" * **Meta Ads** – "What are my best-performing Meta campaigns?" If a source hasn't been connected yet, you'll see a **Connect** link next to it. Once connected, you can ask Ask Maker follow-up questions directly in the chat, and your past conversations are saved under **Recent chats** so you can return to them later. *\*This feature uses Maker credits*
*** ### Custom Reports\* (Beta) Custom Reports let you build and save a report around the specific metrics and sources you check regularly, instead of navigating between separate dashboards each time. You'll find **Custom Reports** in the left nav, next to Sources. A few reports come pre-built to get you started, for example **Overall performance**, which generates a website performance report from GA4 data. You can also request a new one built around whatever you want to track. When you run a report, you'll be asked to confirm the settings first, for example: * **GA4 property** – select which property to pull data from. This matters if you have more than one GA4 property connected, so you want to make sure the report runs on the intended one * **Date range** – the reporting window, shown against the previous period for comparison Review the settings and click **Run report** to generate it. Once the report runs, use prompts to ask follow-up questions about the data, the same way you would in Ask Maker. *\*This feature uses Maker credits*
*** ## Best-practice workflow 1. **Pick a date range** and click **Apply** 2. On the Dashboard, identify Stories with unusually high/low **CTR**, **Clicks**, or **Avg. Time on Page** 3. Open a Story and **switch device views** (Desktop vs Mobile) 4. **Enable heatmap** and scan for: * High-engagement elements (working well) * Low-engagement CTAs (may need repositioning/copy changes) 5. Use **scroll depth** to confirm whether users are reaching key sections (and move important CTAs higher if needed) 6. Compare **eCTR** across key elements to decide what to iterate next 7. **Connect your ad and analytics accounts** under Sources so that ad spend and site engagement live in one place 8. Use **Ask Maker\*** for a quick, plain-language check-in instead of pulling up each dashboard individually *\*This feature uses Maker credits* *** ## Troubleshooting / FAQ **“Why don’t I see data?”** Common causes: * The Story/page didn’t receive traffic in the selected date range * The date range is too narrow * You’re viewing the wrong organization * You’re viewing the wrong device (desktop vs mobile can differ significantly) **“Why don’t the top metrics match the table totals?”** The table may only load a subset of Stories initially. Scroll to load more rows—totals may change as more Stories are loaded. **“Why doesn't Ask Maker have data for Google Ads/Meta Ads/Google Analytics?”** That source hasn't been connected yet. Click **Connect** next to the source, either from the Ask Maker panel or under **Sources** in the left nav. *** ## Glossary **1) Pageviews**\ Number of times a page is loaded (or reloaded) in a browser. **2) Clicks**\ Number of times a user clicks an **outbound link** (for example: a button, linked image, or linked text). **3) CTR (%)**\ Percentage of pageviews that resulted in an outbound click.\ **Formula:** `(Clicks ÷ Pageviews) × 100` **4) Avg. Time on Page**\ Average time visitors spend on the page. **5) Scroll Depth**\ A measure of how far users scroll down the page (typically expressed as a %). **6) Section Views**\ Estimated number of times a section was viewed.\ **Formula:** `Pageviews × Scroll Depth (%)` **7) Section Clicks**\ Total clicks on all clickable elements within a section. **8) eCTR (%)**\ Engagement rate for a specific element or section, based on how often it was actually *viewed*.\ **Formula:** `Clicks on element/section ÷ (Pageviews × Scroll Depth (%)) × 100` **9) Element Clicks**\ Total clicks on a specific element (button, linked text, or linked image). **10) ROAS (Return on Ad Spend)**\ Revenue generated per dollar of ad spend, shown against a campaign's target in Google Ads Insights. **11) Avg. CPC (Cost Per Click)**\ Average amount spent per click on an ad. **12) Search Impression Share**\ The percentage of eligible impressions your ads actually received on the Search Network. **13) Quality Score**\ Google's rating of the relevance and quality of your keywords and ads, shown in Signal-level performance. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.maker.co/features/maker-insights.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.