AI chatbot for Independent Analytics: ask your traffic data
SleekAI's chatbot reads the same ia_views and ia_visitors tables that Independent Analytics writes to, so admins and editors can ask plain English questions about UTM campaigns, top pages, and country mix using their own OpenAI, Anthropic, Google, or OpenRouter key.
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Self-hosted analytics, now askable in chat
Independent Analytics stores every pageview, session, and UTM hit inside your own WordPress database. The plugin writes to wp_ia_views and wp_ia_visitors, with referrer source, campaign, medium, country, and device normalized into queryable columns. The dashboard inside WP Admin then reports on author performance, page lifetime views, UTM campaigns, and referrer breakdowns without sending visitor data to a third party.
SleekAI maps the same tables Independent Analytics queries into named variables in the system message. The data source wizard handles the joins, so a question like How did the spring UTM campaign convert this week resolves against live rows. Display conditions scope the chatbot to administrator and editor roles, and multibot keeps the reporting chatbot off any public storefront or marketing bot the site might also run.
The angle that makes this combination interesting is author-level reporting. Independent Analytics tracks pageviews per author, and SleekAI can surface that in plain English. Who is the top author by pageviews this month turns into a real number with a real name. Which post by Alice converted best on the newsletter UTM joins author and campaign in one answer. Generic AI assistants cannot reach either of those because the data never leaves your site.
Workflow
How SleekAI plugs into your IA-tracked site
Map IA tables
ia_views and ia_visitors, plus UTM, country, and device columns. Pick the slices you actually ask about so token cost stays controlled.
Add author joins
ia_views to wp_users on post_author so the prompt has real names. This is what unlocks per-author rankings, which the IA dashboard already supports natively.
Bring your own key
Lock down access
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A typical Independent Analytics editor conversation
Comparison
Generic chatbot vs SleekAI for Independent Analytics
Generic chatbot
- Cannot read self-hosted analytics tables inside WordPress
- Has no idea which authors, pages, or campaigns are tracked
- Often requires sending site data to a third-party API to answer
- Will not enforce editor or admin role scoping out of the box
- Cannot join authors to UTM campaigns in one natural question
SleekAI chatbot
-
Reads the same
ia_viewsandia_visitorstables IA uses -
Joins author postmeta to
ia_viewsfor per-author answers -
Surfaces UTM
source,medium, andcampaignin the prompt -
Display conditions limit access to
administratorandeditor - Multibot keeps the analytics bot separate from any front-end bots
Features
What SleekAI gives you for Independent Analytics
Author-level reporting
Independent Analytics already tracks views per author. SleekAI surfaces that in the prompt, so questions like top author this week or per-author conversion on a UTM campaign return real numbers and real names.
UTM-aware answers
Map UTM source, medium, campaign, and term into variables. The bot can break down sessions, signups, and revenue by campaign without anyone opening the dashboard filter UI.
Stays self-hosted
Analytics data never leaves WordPress to power the chatbot. Only the variable values you mapped into the system prompt go to your chosen AI provider, which keeps the self-hosted promise intact.
Use cases
Where editorial teams use SleekAI for IA
Author scoreboards
Ask for the top three authors by views and the top three by newsletter conversion. The bot pulls from ia_views joined to posts and ranks them in seconds.
Campaign retro
After a launch, ask the bot how the UTM campaign performed by day, by post, and by country. It joins UTM fields and pageviews in one query rather than three dashboard tabs.
Country and device mix
Get a quick read on country and mobile share when you are thinking about a regional or app-targeted push. The bot resolves directly from ia_visitors at request time.
The bigger picture
Why ask-your-analytics matters for IA users
Independent Analytics gives a small editorial team a real dashboard without shipping visitor data to a third-party vendor. That dashboard is useful, but it is also one more place to log in. The editor in chief, the writers, and the marketing lead all care about different slices.
The editor wants per-author scoreboards. The writers want to know how their piece is doing. Marketing wants the UTM campaign retro.
Each of them currently has to click into the dashboard and apply filters to get there. A chatbot that reads the same tables collapses that to a single question. SleekAI maps views, visitors, UTM fields, author joins, and country slices into named variables, then scopes the chatbot to admin and editor roles.
The team gets one place to ask for last week's top authors, the campaign report, and the country mix, on a key the site owns. IA still owns the dashboard. SleekAI is the surface that gets the rest of the team to use it without remembering where the filter dropdowns are.
Questions
Common questions about SleekAI for Independent Analytics
No. Independent Analytics still owns the charts, per-page detail, and exports. SleekAI is the question layer on top. Use the dashboard for browsing and the bot for the recurring questions, like top authors this week or how a UTM campaign converted compared to the site average.
 
The data source wizard exposes ia_views and ia_visitors, plus the lookup columns for UTM, country, device, browser, and referrer. You choose which fields to surface in the prompt, so token usage scales with your actual question patterns rather than the full table.
Yes. Independent Analytics tracks post_author on every view, and SleekAI joins that to wp_users in the data source. The bot can rank authors by views, by signup conversion on a UTM, or by average time on page if you have that field mapped.
Yes. IA captures source, medium, campaign, term, and content into separate columns. SleekAI maps those into named variables, so the bot can answer questions like which campaign drove the most signups last month and break the result down by post.
 Yes if you map the comparison ranges into variables. Common patterns include this week versus last week, this month versus the prior month, and rolling 30 days versus the prior 30. The bot phrases the comparison naturally with percentage deltas.
 
Yes. Display conditions on user role, logged-in state, post type, and URL path are available on every chatbot. Most teams set the analytics bot to administrator and editor only, with a URL rule restricting it to /wp-admin so the public site stays unaffected.
Yes. If your install has Pro extensions for goal tracking, WooCommerce revenue, or UTM linking, SleekAI can read those columns the same way it reads the core tables. The data source wizard does not care which add-ons wrote the data, only that the column exists.
 Mid-tier models handle ranking, deltas, and UTM grouping comfortably. GPT-4o mini, Claude Haiku, and Gemini Flash are common picks. Reserve a stronger model only if you ask the bot to interpret patterns and recommend editorial follow-ups based on the numbers.
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