--- title: Introducing the EX.CO AI Analyst description: "Meet the EX.CO AI analyst: ask performance questions in plain language and get the report, the comparison and what it means in seconds." image: https://blog.ex.co/hubfs/image-3.jpg --- [![EX.CO](https://ex.co/wp-content/themes/tg/assets/images/general/logo-dark.svg "EX.CO Home")](https://ex.co)[Blog](https://blog.ex.co/)Press Release [Get in touch](https://ex.co/contact/) - [Login](https://login.ex.co/login) - [Contact Sales](https://ex.co/contact/) - My Platform - Technology - [OVP](https://ex.co/ovp/) - [Monetization](https://ex.co/monetization/) - [CMS](https://ex.co/cms/) - [Player](https://ex.co/player/) - [Vertical](https://ex.co/vertical-player/) - Solutions - [Publishers](https://ex.co/publishers/) - [CTV/DOOH](https://ex.co/ad-server/) - [Sales Houses](https://ex.co/ad-partners/) - [Advertisers](https://ex.co/advertisers/) - Resources - [Case Studies](https://ex.co/case-study/) - [Blog](https://blog.ex.co/) - [Help Center](https://support.ex.co/) - [Industry Guides](https://ex.co/guides/) - [Glossary](https://content.ex.co/glossary) - [Get in touch](https://ex.co/contact/) - [Contact Sales](https://ex.co/contact/) - Company - [About us](https://ex.co/about/) - [Leadership](https://ex.co/leadership-team/) - [Careers](https://ex.co/careers/) - [Press Room](https://ex.co/about/news/) # Introducing the EX.CO AI Analyst November 12, 2026 - by [EX.CO Team](https://blog.ex.co/author/ex-co-team) ![EX.CO AI Analyst interface prompting users to ask anything about their EX.CO data](https://blog.ex.co/hubfs/image-3.jpg "EX.CO AI Analyst interface prompting users to ask anything about their EX.CO data") *Ask a question about your performance in plain language. Get the report, the comparison and its meaning for your performance in seconds.* **Media companies lose a real share of their time every week to manual data work. Before any decision gets made, someone has to pull the numbers**: pick a date range, choose the dimensions, add the right metrics, export, compare against last week, and work out what actually changed. In a DoubleVerify survey of publisher and SSP executives, 73% said their organization spends too much time manually processing inventory performance and revenue data, and 80% said that time limits their ability to optimize inventory and revenue ([DoubleVerify publisher survey](https://www.stateofdigitalpublishing.com/digital-publishing/study-reveals-key-challenges-for-digital-publishers/)). Ad ops practitioners estimate that the morning routine alone (pulling ad server reports and checking pacing, revenue and demand partner data) takes 60–90 minutes a day, or roughly 4–6 hours per person every week ([ProOps Consulting via Beeler.Tech](https://www.beeler.tech/2026/06/08/manual-reporting-ad-ops-with-chris-quinn/)). That routine is the hidden tax on a revenue team's day: **more than a tenth of the working week,** gathering numbers instead of acting on them. Today we're starting to give those hours back. The **EX.CO AI analyst** is now live in the EX.CO platform, allowing you to ask data related questions in plain language, and get the answers you need, easily. ## The data is already there. Shaping it is the cost. The data **revenue teams need** is already there. The real cost is the work of getting it into a shape they can act on. In a typical week, that time goes to: - **The morning check.** Opening dashboards to see whether revenue, RPM and fill held up overnight, and if not, why. - **Ad-hoc questions.** "How did our new site do since launch?" "Which demand partner slowed down?" Each one means building a new report. - **Week-over-week comparisons.** Exporting two periods, lining them up, and hunting for the line that moved. - **Prepping updates.** Turning raw tables into a summary for **managers, sales teams** or a partner call. None of these is hard on its own. Together they eat hours every week that could go to optimizing yield, growing traffic and working with partners. ## Meet the AI Data Assistant The AI analyst sits right inside your EX.CO report builder. **Teams type a question the way they'd ask a colleague, and the assistant does the rest:** 1. **Builds the report.** It picks the right metrics, dimensions and date ranges for you. No more working out which columns to pull. 2. **Runs the analysis.** Comparisons, trends and breakdowns happen in seconds. 3. **Explains what changed.** The output is a clear answer, not just another table: what moved, by how much, and where to look next. A prompt like "compare this week's demand partner performance to last week" shows which partners grew, which slipped and what that means for revenue. It can also surface red flags and point out optimization opportunities you might otherwise miss. ## A day with the AI Data Assistant The real value shows up when the analyst becomes part of the daily routine, not an occasional tool. Here's what a working day can look like: | When | The task | Before | With the AI Data Assistant | | --- | --- | --- | --- | | Morning | Revenue health check + Optimization Ideas | Open several dashboards, scan for drops or get a full analysis, often pushed to next week. | "How did yesterday compare to my 7-day average? Anything unusual?" "Where am I leaving revenue on the table?" | | Mid-morning | Demand partner review | Build a report, export two weeks, compare by hand | "Compare this week's demand partner performance to last week" | | Midday | New site or placement launch | Pull a custom report since launch day | "How is the new site performing since launch? Any red flags?" | Each answer arrives in seconds, so the time once spent gathering data goes into acting on it. ## Why it works - **It runs on live data.** The assistant is powered by EX.CO's reporting engine and queries each account's data directly. Answers reflect what's happening now, not a stale export. - **It lives where teams already work.** No new tool, login or tab. **It sits one click away from the data it explains.** - **It's conversational.** Ask a follow-up, narrow the date range or drill into a partner, and the assistant keeps the context. - **Each account's data stays private.** The assistant answers from that account's data and nothing else. Early results from **EX.CO's internal testing** found that when our account managers checked the analyst's answers against analyses they'd done by hand, the details matched. ## Getting started, and what's next The AI analyst is rolling out to EX.CO customers now. Open any reporting page in the EX.CO platform, look for the analyst, and ask your first question. Don't see it yet? Reach out to your EX.CO account manager and we'll switch it on for your account. This is just the beginning. The AI analyst is the first step in a much bigger push to embed AI across the EX.CO platform, so your team spends less time gathering data and more time growing revenue. ***Ready to give your team their hours back?** [Book a demo](https://ex.co/#section-v2-form)to see the AI Data Assistant in action.* ## Sources - [DoubleVerify publisher study, via State of Digital Publishing](https://www.stateofdigitalpublishing.com/digital-publishing/study-reveals-key-challenges-for-digital-publishers/): 73% spend too much time manually processing inventory and revenue data; 80% say it limits optimization (survey of 300 publisher and SSP executives, 2020) - [ProOps Consulting (Chris Quinn), via Beeler.Tech](https://www.beeler.tech/2026/06/08/manual-reporting-ad-ops-with-chris-quinn/): 60–90 min each morning, ~4–6 hrs per person per week on manual reporting checks (practitioner estimate, June 2026) ### Speak to an expert ## Recent posts ## About EX.CO Team With ten years in the adtech space, and countless more years' industry experience from each member of our global teams, we at EX.CO are well placed to offer our two cents on the state of the sector, the impact of new developments, and provide answers to the questions you've always pondered. 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