Question 1

Mixpanel vs Amplitude vs Heap, which should I use?

Accepted Answer

Mixpanel: event-first, best for mobile/web tracking, no-code event capture. Amplitude: retention-focused (cohort retention table is faster), better predictive analytics, stronger user segmentation. Heap: automatic event recording (not manual), good for session-based analysis. PostHog: open-source, self-hosted option, weaker SQL. Pick based on: Are you mobile-first? (Mixpanel) Retention-obsessed? (Amplitude) Want zero implementation? (Heap)

Question 2

How do I design an event taxonomy that won't become spaghetti?

Accepted Answer

Use namespacing: product.feature_name.action (e.g. checkout.cart.add_item, checkout.payment.failed). Limit 3 levels. Define required properties in a shared config (user_id, session_id, timestamp, browser). Audit unused events quarterly. In Mixpanel, use a data governance feature or script to tag stale events. Never let frontend engineers invent events freely, create a ticket process.

Question 3

Why is my funnel step showing 0 conversions?

Accepted Answer

Common causes: (1) Event naming mismatch, check exact event names in event list, case-sensitive. (2) Property filters too strict, remove filters, rebuild. (3) Events out of order, funnel assumes step 1 → 2 → 3 in sequence; add a 'view' event before 'click'. (4) Time window too short, default 30 days may be too small; expand to 60 days. Test by running a custom SQL query to count events directly.

Question 4

How should I analyze cohort retention to find churn signals?

Accepted Answer

Cohort retention table: create a cohort by signup date, measure % returning Day 1, 7, 14, 30. Look for flattening (e.g. 50% Day 1 → 45% Day 7 → 44% Day 14 = stalling). Compare cohorts week-over-week to spot trends (old cohorts healthier than new = onboarding regression). Drill into churned users: what features did they skip? Did they hit an error? Pair with user feedback.

Question 5

What's the difference between event-based and server-side tracking?

Accepted Answer

Event-based (client-side): JavaScript tracks clicks/views in the browser, sent to Mixpanel/Amplitude. Fast to implement, noisy (ad blockers, privacy tools drop events), no auth context. Server-side: backend sends events after API calls (purchase, login, email sent). Slower to instrument, cleaner data, can tie to user auth, cost per event. Use both: server-side for critical events (payment, signup), client-side for engagement (clicks, views).

Question 6

How do I handle GDPR in Amplitude/Mixpanel?

Accepted Answer

Use privacy-by-default: (1) Disable PII capture in-event (never send email/name in custom properties unless hashed). (2) Enable 'strict' or 'GDPR' mode in SDK (limits cookies, disables cross-domain tracking). (3) On user deletion, use API to bulk-delete user's events and profile. (4) Transparency: link to privacy policy in your app. Mixpanel + Amplitude both have GDPR documentation; read it before shipping.

Question 7

Should I use spreadsheets or BI tools for analytics dashboards?

Accepted Answer

Spreadsheets (Sheets/Excel): quick, shareable, but stale (manual refresh). Mixpanel/Amplitude dashboards: real-time, stakeholder-friendly, limited drill-down. BI tools (Looker/Tableau): SQL queries, complex aggregations, slower to build. Rule: operational dashboards (daily checks) → Mixpanel/Amplitude. Business reviews (weekly/monthly) → spreadsheet export. Deep dives (debug specific cohort) → BI tool. Don't build 3 versions of the same metric.

प्रदेश	ज्युनियर	मध्यम	सीनियर
USA	$90k	$135k	$175k
UK	£55k	£80k	£110k
EU	€60k	€90k	€125k
CANADA	C$95k	C$145k	C$180k

Mixpanel / Amplitude (Product Analytics)

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