PostHog Demo (2026) for Marketers & Product Teams
Автор: Vision Labs
Загружено: 2026-02-04
Просмотров: 635
Описание:
We manage 20+ PostHog accounts from bootstrapped startups to companies spending $250K/month on ads. This is everything we've learned about using PostHog for both product and marketing analytics.
00:00 Introduction - What this PostHog tutorial covers
01:48 PostHog interface tour - Navigating the sidebar & enabling features
02:29 Product analytics explained - Creating insights & reports
02:57 Trends reports - How to build trend charts in PostHog
03:29 Scorecards - Adding numbers to your dashboard
03:41 How to create dashboards in PostHog
04:09 Funnels & conversion tracking - Drop-off analysis & correlations
05:54 Retention analysis - Tracking user return behavior
06:42 User paths - Mapping customer journeys
07:42 Lifecycle reports - New, returning & dormant users
08:23 Dashboard deep dive - Layout, tags & folders
10:38 Date range filters - Managing time-based reporting
11:37 Dashboard breakdowns - Segmenting your data
12:25 Filtering dashboards by cohorts & properties
13:04 Adding text annotations to dashboards
13:45 Web analytics in PostHog - GA4 alternative
15:11 Page reports (Beta) - Single page analysis
15:57 Session recordings setup - Where to find replays
16:34 Session replay demo - Console, network & DOM tracking
17:32 Session replay pricing - Sampling to reduce costs
18:43 LLM analytics - Tracking AI costs in PostHog
19:43 LLM cost tracking by model - GPT, Claude & more
20:46 LLM traces & generations - Monitoring AI usage
21:26 Data pipelines & destinations - Sending PostHog data externally
22:06 Meta Conversions API integration - Facebook ads optimization
24:00 Event naming best practices for PostHog
24:06 Workflows - Automated emails & Slack notifications
25:04 Workflow triggers - Frequency & exit conditions
26:08 Surveys in PostHog - NPS & user feedback
27:03 Survey customization - Styling & branding options
27:48 Notebooks - PostHog's secret documentation feature
29:42 What we didn't cover - Feature flags, experiments & heat maps
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