{"id":440,"date":"2026-10-02T10:22:55","date_gmt":"2026-10-02T08:22:55","guid":{"rendered":"https:\/\/www.alketech.eu\/blog\/?p=440"},"modified":"2026-10-02T10:31:40","modified_gmt":"2026-10-02T08:31:40","slug":"just-ask-alke-analytics-in-your-ai-assistant-revenue-insights-goal-analysis","status":"publish","type":"post","link":"https:\/\/www.alketech.eu\/blog\/2026\/10\/02\/just-ask-alke-analytics-in-your-ai-assistant-revenue-insights-goal-analysis\/","title":{"rendered":"Just Ask: Alke Analytics in Your AI Assistant, Revenue Insights &amp; Goal Analysis"},"content":{"rendered":"\n<figure class=\"wp-block-video\"><video height=\"1080\" style=\"aspect-ratio: 1920 \/ 1080;\" width=\"1920\" controls src=\"https:\/\/blog-cdn.alketech.eu\/uploads\/2026\/10\/alke-update-sept-2026-v2.mp4\"><\/video><\/figure>\n\n\n\n<p>Every analytics tool makes the same quiet bargain with its users: the answers are in there somewhere, as long as you know which report to open, which filters to set and which columns to add. For an analyst, that is simply the job. For an editor-in-chief between two meetings, however, or a CFO preparing a board deck, it is a<br>barrier. In other words, the question is simple, but getting to the answer is not.<\/p>\n\n\n\n<p>This month, we worked on removing that barrier from both ends. First, you can now ask Alke Analytics questions in plain language, from the AI assistant you already use. Second, for the questions you didn&#8217;t know to ask, Alke now brings you the answers itself: what drives your revenue, where your next euro is best invested, and what makes a reader subscribe. Here is what&#8217;s new.<\/p>\n\n\n\n<p>AI assistants have become a daily tool in many newsrooms. Your teams already use them to summarise, draft and brainstorm. Until now, though, they couldn&#8217;t answer the one question that matters most to a publisher: <em>how are we actually doing?<\/em><\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Ask in plain language<\/h3>\n\n\n\n<p>Alke Analytics now ships a connector for the <strong>Model Context Protocol (MCP)<\/strong>, the open standard AI assistants use to talk to outside tools. Once you connect it, your assistant can query your Alke data directly. For example:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><em>&#8220;Which sections drove the most pageviews last week, compared to the week before?&#8221;<\/em><br><em>&#8220;What was our Page RPM on mobile in September, by property?&#8221;<\/em><br><em>&#8220;Show me the top 20 articles of the month by revenue, and their active time.&#8221;<\/em><\/p>\n<\/blockquote>\n\n\n\n<p>Behind the scenes, the assistant picks the right metrics and dimensions, runs the report and then answers with real figures from your dashboard. It can also compare a period with the previous one, break results down by up to three dimensions and cover up to a full year. Finally, it returns revenue in euros, exactly as your dashboard shows it.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Works with the assistants you already use<\/h3>\n\n\n\n<p>The connector works with Claude (web, desktop and Claude Code), ChatGPT, Cursor, VS Code and any other MCP-compatible client. Setup takes about a minute. First, add a custom connector pointing to Alke Analytics. Then, sign in with your usual account. Finally, choose the organizations you want to share. As a result, there is no API key to generate, store or rotate.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Built for trust from the start<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Read-only.<\/strong> The assistant can look at your data, but it can never change anything in your account.<\/li>\n\n\n\n<li><strong>Your permissions, nothing more.<\/strong> The assistant only sees what your account can see. Moreover, if someone removes your access to an organization, the assistant loses it at the same moment.<\/li>\n\n\n\n<li><strong>You stay in control.<\/strong> A new <strong>Connected AI assistants<\/strong> section in your profile lists every assistant you&#8217;ve connected, which organizations it can reach and when it last ran a query. One click on <strong>Disconnect<\/strong> then cuts the connection.<\/li>\n\n\n\n<li><strong>Fully traceable.<\/strong> In addition, Alke logs every report an assistant runs, along with the app that ran it.<\/li>\n<\/ul>\n\n\n\n<p>Our public documentation covers the step-by-step setup for each assistant, under <em>Integrations \u203a AI Assistants (MCP)<\/em>. We are rolling out the connector organization by organization, so ask your Alke Analytics contact to turn it on for your team.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Revenue Insights: what really drives your RPM<\/h2>\n\n\n\n<p>Dashboards are good at telling you <em>what<\/em> happened. However, they are much worse at telling you <em>why<\/em>. Is your culture section earning more because readers value it, or simply because it gets more traffic on desktop, where ads pay better? Similarly, does long-form actually monetise better, or does it just tend to run on weekends? With a dozen factors moving at once, comparing averages can easily lead you to the wrong conclusion.<\/p>\n\n\n\n<p>The new <strong>Insights<\/strong> screen answers that question with machine learning. For each property, Alke trains a model on your own traffic and revenue. The model then isolates the effect of each factor <strong>with everything else held equal<\/strong>.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Revenue drivers<\/h3>\n\n\n\n<p>The <strong>Revenue drivers<\/strong> tab shows what lifts, or drags down, the metric you choose: <strong>RPM<\/strong>, <strong>eCPM<\/strong>, <strong>Fill rate<\/strong>, <strong>Viewability<\/strong>, <strong>Ad density<\/strong>, <strong>Revenue \/ session<\/strong> or <strong>Pages \/ session<\/strong>. To keep things readable, Alke groups drivers into the families you already think in:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Topics<\/strong>: your content hierarchy and custom data<\/li>\n\n\n\n<li><strong>Format<\/strong>: schema type, article length, media richness, freshness and paywall status<\/li>\n\n\n\n<li><strong>Channel<\/strong>: source, referrer and campaign<\/li>\n\n\n\n<li><strong>Context<\/strong>: device, country, time of day and weekend<\/li>\n\n\n\n<li><strong>Audience<\/strong><\/li>\n<\/ul>\n\n\n\n<p>For each driver, the screen shows the metric&#8217;s average without it and with it, side by side, so you can see the size of the effect at a glance. When a factor has too little data, Alke greys it out instead of hiding it, so you always know where the model is unsure. Finally, because no model should be read as proof, every driver states plainly that it is <em>an association, not a cause<\/em>.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Opportunities<\/h3>\n\n\n\n<p>The <strong>Opportunities<\/strong> tab then turns those drivers into decisions, with three views that match three jobs in a newsroom:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Where to invest<\/strong>: which topics would pay more if they got more volume.<\/li>\n\n\n\n<li><strong>How to craft<\/strong>: how to produce and package content for revenue, whatever the topic.<\/li>\n\n\n\n<li><strong>Where to acquire<\/strong>: which channels, and which channel and entry-topic pairings, bring the most valuable readers.<\/li>\n<\/ul>\n\n\n\n<p>Every opportunity also shows a <strong>projected impact in euros<\/strong>. For instance, you can simulate a 5, 10 or 20% shift in traffic and see what it would be worth over 30 days, with a confidence interval that tells you how solid the estimate is. On top of that, three summary cards point to what matters most: <strong>Top upside<\/strong>, <strong>Hidden gem<\/strong> (a high-value segment hiding in low volume) and <strong>Re-examine<\/strong>. When an opportunity catches your eye, <strong>View in Monetization<\/strong> opens the Monetization report already filtered on it, for the dates you&#8217;re looking at.<\/p>\n\n\n\n<p>Insights refresh every week. Since the models need enough monetized traffic to be reliable, properties that are still building up history show as <em>accumulating<\/em> until they&#8217;re ready. The feature is available on request.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Goal Analysis: understand what makes readers convert<\/h2>\n\n\n\n<p>Revenue isn&#8217;t only about ads. For a growing number of publishers, the goal that matters most is the reader who subscribes, signs up for the newsletter or creates an account. Knowing <em>how many<\/em> readers converted is easy. Knowing <em>what led them there<\/em>, on the other hand, is the hard part.<\/p>\n\n\n\n<p>The new <strong>Goals<\/strong> screen therefore focuses on a single goal of your choice and looks at it in four ways.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Conversion drivers<\/h3>\n\n\n\n<p>Which content and audiences stand out among the sessions that convert? To answer that, Alke compares topic, format, length, source, active time and visit regularity between converted and non-converted sessions. It also leaves your funnel and conversion pages out of the analysis, so the subscription page doesn&#8217;t end up &#8220;explaining&#8221; the subscription.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Arbitrage quadrant<\/h3>\n\n\n\n<p>Ad revenue and subscriptions don&#8217;t always want the same content. That&#8217;s why the quadrant places each section, page group or source on two axes: active time per session and RPM. Meanwhile, bubble size shows sessions and colour shows conversion rate. As a result, sections with high engagement and low ad revenue land in the shaded <strong>Subscription territory<\/strong>, which makes them the best candidates to go behind the paywall. You can also narrow the view to free or paywalled content to check the balance from both sides.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Segment tracker<\/h3>\n\n\n\n<p>Next, the segment tracker follows the conversion rate of any segment day by day or week by week, compared with the rest of your audience. For an A\/B test, it shows the <strong>incremental conversion rate<\/strong> of the exposed group over the control group, in points. Your annotations appear on the chart too, so you can see a launch or a paywall change line up with the curve.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Reverse path<\/h3>\n\n\n\n<p>Finally, the reverse path starts from the conversion and works backwards. A flow diagram shows the pages readers viewed just before converting and the source their session came from. You can look back over the same session or over the previous 7 or 30 days, and click any step to see the pages behind it.<\/p>\n\n\n\n<p>You configure each goal once in <strong>Settings \u203a Goals<\/strong>, where you can also exclude existing subscribers from the comparison. In addition, Alke saves your selected goal with your saved views. Goal Analysis is available on request.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The content hierarchy, as a pivot table<\/h2>\n\n\n\n<p>Last month, we introduced the Pages report and its three-level content hierarchy. This month, it got the table it deserved.<\/p>\n\n\n\n<p>A single <strong>Content hierarchy<\/strong> pivot table now replaces the three flat Level 1, Level 2 and Level 3 tables. By default, it reads Property \u2192 Level 1 \u2192 Level 2 \u2192 Level 3, collapsed so you start from the big picture. From there, expand a section to see its subsections, then a subsection to see what&#8217;s beneath it. The metrics stay exact at every level, and an <strong>Others<\/strong> row keeps the totals honest.<\/p>\n\n\n\n<p>You can also build your own layout. For example, stack up to five levels of any dimension you can group by, and add Day or Month to follow the hierarchy over time. Then click any label to filter the whole report on it.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The point of all this<\/h2>\n\n\n\n<p>The best analytics is the kind you don&#8217;t have to go looking for. This month, that means two things. First, your data is now available wherever you already work, starting with the AI assistant on your screen. Second, Alke now does more of the analysis for you, pointing to the drivers, opportunities and paths you would otherwise have to find by hand.<\/p>\n\n\n\n<p>So connect your assistant, and ask it the question you never had time to build a report for.<\/p>\n\n\n\n<p><em>Want to try the AI connector, Revenue Insights or Goal Analysis on your own data? Reach out and we&#8217;ll turn them on for your team.<\/em><\/p>\n\n\n\n<p class=\"has-cyan-bluish-gray-color has-text-color has-link-color wp-elements-ea308a1bb6518ca0bb43714a96542fa4\"><em>Written with help of AI.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Every analytics tool makes the same quiet bargain with its users: the answers are in there somewhere, as long as you know which report to&#8230;<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-440","post","type-post","status-publish","format-standard","hentry","category-alke-analytics-product-update"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Just Ask: Alke Analytics in Your AI Assistant, Revenue Insights &amp; Goal Analysis - Alke Tech<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.alketech.eu\/blog\/2026\/10\/02\/just-ask-alke-analytics-in-your-ai-assistant-revenue-insights-goal-analysis\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Just Ask: Alke Analytics in Your AI Assistant, Revenue Insights &amp; 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