What Makes Overlook Actually Work?

Context is Everything!

AI in a browser can't pull more data when needed, remember your goals, or connect across platforms

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Overlook Knows
Your Business

Overlook understands your metrics, dimensions, seasonality patterns, and business context. It knows that "conversion rate" means something different for your business than a generic benchmark.

Documented data: Your metrics and dimensions are defined and understood

Seasonality awareness: Knows Q4 is different from Q1 for ecommerce

Business context: Understands your products, channels, and goals

Visual analysis: Can render your website to see what users see

Screenshot showing Overlook referencing business context during analysis

Live Data
Connection

Overlook connects to your platforms via secure OAuth - the same way you'd connect any marketing tool. No CSV exports, no manual uploads, no stale data. Always current.

Secure OAuth: Industry-standard authentication, no passwords shared

Always current: Queries live data, not yesterday's export

Full history: Access to historical data via BigQuery foundation

Your data stays yours: We query it, we don't store it

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Real Calculations,
Not AI Guesses

You've seen ChatGPT confidently give wrong numbers. Overlook doesn't guess - it runs actual calculations. When we say conversion dropped 15%, that's real math, not an approximation.

Numbers you can trust: Real formulas, not AI making things up

Change detection: Pinpoint exactly when metrics shifted

Root cause finder: Identify which segments drove the change

Trend vs noise: Know if a change is real or just normal fluctuation

Screenshot showing statistical analysis with confidence intervals and change detection

Sees Your
Change History

When metrics change, the answer is often in what changed. Overlook reads change logs from Google Ads, Meta Ads, Google Tag Manager, and more - connecting the 'why' to the 'what'.

Google Ads history: Campaign pauses, bid changes, budget adjustments

Meta Ads history: Creative swaps, audience changes, spend shifts

GTM changes: Tag modifications, trigger updates, tracking changes

Correlated timeline: See what changed when metrics moved

Screenshot showing change log correlation with metric changes

Catches
Bad Data

Garbage in, garbage out. Before analyzing, Overlook checks if your data is reliable. Broken tracking, missing events, attribution gaps - it catches problems before they corrupt your insights.

Broken tracking alerts: Detects when events stop firing or data stops flowing

Won't analyze garbage: Refuses to give answers when data quality is too low

Attribution gaps: Identifies missing UTM parameters, referrer data, and tracking holes

Proactive monitoring: Alerts you to data issues before they become analysis problems

Screenshot showing data quality warnings and tracking alerts
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