Askalytics adapts to who you are, what you do, and what your business cares about. The result is analysis that feels like it was written for you.
Strategist: trends, business impact, strategic recommendations.
Marketer: campaigns, quick wins, growth levers.
Analyst: statistical context, methodology notes.
Storyteller: presentation-ready narratives.
Developer: technical diagnostics, implementation fixes.
Newcomer: plain language, every metric explained.
Familiar: standard terms, advanced concepts explained briefly.
Proficient: full vocabulary, nuanced analysis.
Expert: maximum depth, raw numbers, methodology notes.
Industry benchmarks, website type (e-commerce, lead gen, SaaS), geographic market, and local currency all shape how the AI frames its analysis and recommendations.
Thumbs up/down on AI Insights builds a property-level preference profile. The AI distills team feedback into guidance that steers future analysis toward what your business finds most actionable.
Your role, experience, and feedback shape which insights surface and how they're worded. They never change whether a number is real. Every figure still traces to the query that computed it against your own data, and every insight can still be verified by a second AI on a different provider before it reaches you. See the Confidence Check
A Newcomer Marketer, Familiar Marketer, and Expert Analyst asking the same question get completely different responses. These are sample answers.
"Your bounce rate is 10%, which means 90% of visitors engaged with more than one page. That's excellent for an e-commerce site (industry average is 25-40%). No action needed here."
"Bounce rate sits at 10.0% (30d avg), well below the e-commerce benchmark of 25-40%. Engaged session ratio is 90%, suggesting strong landing page relevance. Your top 5 landing pages all hold under 12%, so there are no outliers to flag."
"Bounce rate: 10.0% (30d). Engaged sessions: 54,180/60,200. Note: GA4 defines bounce as sessions without an engagement hit within 10s, which is not equivalent to UA's bounce rate metric."
Four things shape your answers: your role (Strategist, Marketer, Analyst, Storyteller, or Developer), your experience level, your business details, and your feedback over time. Together they decide which insights surface and how they're worded.
You set them during signup, and you can change them at any time. Every response is tailored from that point forward.
Yes. Thumbs up and thumbs down on AI Insights build a property-level preference profile. The AI distills that feedback into guidance that steers future analysis toward what your business finds most actionable.
No. Personalization changes the tone, never the truth. Every figure still traces to the query that computed it against your own data, and every insight can still be verified by a second AI on a different provider through our Confidence Check.
The preference profile built from thumbs feedback lives at the property level, so it reflects what the whole team finds useful. Your individual role and experience level shape how answers are worded for you.
Set your role and experience level during signup. Every response is tailored from that moment forward.
Get Started