Confidence vs PostHog: Which Experimentation Platform Fits Your Team?
An evidence-based Confidence vs PostHog comparison covering data architecture, statistical methods, guardrails, governance, pricing, tradeoffs, and a practical evaluation plan.
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PostHog Implementation for Growth Lever Teams
A useful PostHog implementation is not an SDK installation or feature tour. It is a decision system connecting business-aware events, identity, acquisition, revenue, experiments, and QA so a growth team can identify a lever, act on it, and validate the result.
A/B Testing Metrics: Choose the Primary Metric Closest to Profit
The best A/B testing metric is usually the measurable outcome closest to incremental contribution per eligible visitor, user, or account. This guide separates true decision metrics, operational primaries, leading indicators, guardrails, and diagnostics—then maps ecommerce, subscription, pricing, lead-generation, marketplace, and cost-changing experiments to the metrics that should actually determine the winner.
CRO Redesign vs Ongoing A/B Testing: Which to Start With?
A tested one-time redesign can be rational when the current experience needs a structural reset. Ongoing A/B testing creates more long-term value when each experiment produces both deployed impact and reusable customer learning. This framework shows how to choose—and why one hypothesis does not mean changing only one UI element.
How to Evaluate a CRO Agency: Business Impact vs Win Rate
A CRO agency should be judged by the complete evidence chain it creates: trustworthy measurement, explicit hypotheses, valid experiments, verified deployments, and cumulative improvement to a meaningful business outcome. Win rate, test count, and isolated uplift are useful diagnostics, but they do not prove realized business value.
Event Tracking Plan for CRO and Product Analytics
An event tracking plan is not an event-name spreadsheet. It is the contract that defines how business questions become entities, events, trigger rules, properties, identities, revenue facts, metrics, QA, and governed analytics data. This guide includes a complete paid-subscription example and downloadable Excel template.
PostHog Audit: 12 Checks Before You Trust the Data
A PostHog audit should prove more than event delivery. These 12 checks follow the full measurement chain—from ad click and identity through event semantics, purchase value, attribution, ROAS, and production governance—so you know which decisions the data can safely support.
PostHog vs GA4: Analyst’s Guide
PostHog is usually better suited than the GA4 reporting interface to be the operational source of truth for growth decisions. It provides direct event-level investigation, explicit identity, flexible SQL, behavioral analysis, and experimentation in one environment. GA4 remains valuable for standardized acquisition and Google Ads reporting; when raw GA4 data is modeled in BigQuery, the warehouse becomes the real source of truth.
Experimentation System Audit: Can You Trust Your A/B Test Results?
An A/B result is only as trustworthy as the system that produced it. This audit framework examines eligibility, assignment, bucketing, identity persistence, exposure, sample-ratio mismatch, metric definitions, conversion windows, and statistical analysis. It also introduces the Zero Experiment: a production A/A calibration test designed to reveal whether the system creates lift where no treatment exists.
Conversion Tracking Audit: Can You Trust Your Funnel Data?
A conversion tracking audit should prove more than whether a tag fires. It should verify event meaning, duplicates, identity, cross-domain continuity, attribution, consent behavior, and reconciliation with orders, payments, CRM records, and advertising platforms. This framework shows what to inspect before funnel data is used for optimization.
What Is Growth Lever Analytics? A System for Finding Growth Drivers
Growth Lever Analytics is a decision process for finding the controllable variable worth acting on, building the measurement needed to trust the decision, and validating the intervention through experimentation. It connects business economics, analytics, and causal evidence so that data ends in a ranked action rather than another dashboard.
How Much Does A/B Testing Cost?
What does it cost to run an A/B test? The obvious answer is the cost of producing it. Someone needs…
Cumulative Impact of Conversion Rate Optimization (CRO)
The most useful way to measure a conversion rate optimization program is to track the compounded relative lift of validated…
Read Loaded PostHog Feature Flags Without Exposure Events
PostHog’s JS web SDK now includes getAllFeatureFlags(), which returns every currently loaded flag in one call. Each flag includes its key,…
PostHog Skills Store: Share Agent Workflows Across Teams
Most teams already have useful agent workflows. The problem is that those workflows often live in one person’s local skill…
Per-Pipeline Error Notifications in PostHog
PostHog added per-pipeline notification settings for data pipeline errors. This is an alerting-quality update. It gives teams a more precise…
PostHog Trends: Custom Axis Labels for Clearer Reports
PostHog trends line and bar charts now support custom X-axis and Y-axis labels. That may sound minor, but anyone who…
PostHog Snapchat Ads Integration: Conversion Tracking
Snapchat’s Conversions API lets you send web, app, and offline conversion events to Snap from a server-side source. PostHog can…
PostHog Experiments: Default Minimum Detectable Effect (MDE)
One of the useful PostHog experiment updates from May 21, 2026 is the new organization-level default minimum detectable effect, or…
PostHog Pinterest Ads Integration: Conversion Tracking
If you are already using PostHog to track your funnel, you probably have the conversion events Pinterest needs: product views,…
Hyros Tracking Maintenance Checklist
This handbook was originally created as a private operating reference for our clients after completing their Hyros implementation. We decided…
URL Parameters to Set for Your Ads
Use one documented UTM contract across channels, and do not copy platform macros until you have verified them in the…
PostHog Session Replay: How to Use It Properly
Use PostHog Session Replay to answer a defined behavior question, not to accumulate recordings. Set capture boundaries before recording, protect…
PostHog Session-Based Funnels: Identify Drop-Offs
If you’ve been using PostHog session-based funnels, there’s a small but meaningful update that changes how you investigate drop-offs. I…
PostHog Error Tracking Alerts
I recently tested PostHog’s updated Error Tracking alerting. One improvement stood out immediately: I can now send alerts directly to…
PostHog TikTok Ads Integration: Conversion Tracking
This guide focuses on integrating PostHog with TikTok Ads so you can send conversion events from PostHog directly into TikTok’s…
Metric Breakdowns in PostHog Test Results
Metric breakdowns can show whether an experiment’s observed effect differs across event-property values, but a positive subgroup is not automatically…
PostHog Experiment Replay Summaries
I have found this update especially useful when reviewing experiment outcomes that show a clear pattern in the numbers but…
PostHog Reddit Ads Integration: Conversion Tracking
If you are running Reddit Ads, browser-only tracking is usually not enough. Ad blockers, privacy controls, cookie restrictions, checkout flows,…
Launch PostHog Experiments Without Metrics
One of the PostHog updates I found genuinely useful is the ability to launch experiments without setting metrics first. For…
PostHog Google Ads Integration: Conversion Tracking
Today, I want to explain how to integrate your PostHog conversion tracking with Google Ads. The objective is to achieve…
PostHog SQL Variable Management
One small PostHog updates just removed a bunch of friction from my workflow: SQL variables are now actually manageable at…
PostHog Meta Ads Integration: Conversion Tracking
This guide explains how to send conversion events such as CompleteRegistration, Lead, AddToCart, InitiateCheckout, and Purchase to Meta, along with all available customer context and event metadata, including email address, first and last name, phone number, address information, order value, currency, and other matching parameters that help improve attribution and event match quality.
Combine Events in PostHog Trends
When I’m building a Trends insight in PostHog, I often run into the same problem: one product outcome shows up…
PostHog vs Segment: Analyst’s Guide
Quick answer: Choose PostHog when you need product analytics, session replays, feature flags, surveys, and experiments in one place. Choose…
Save IP Addresses to PostHog Person Properties
Why Save IP Addresses to PostHog Person Properties? Problem: IP is only available on event properties (e.g. $ip on $pageview),…
Hyros Experts: Hiring Guide and List
Quick answer Seriously consider hiring a Hyros expert when you are making real budget-allocation decisions from tracking that spans multiple…
How to Hire a PostHog Expert
What does a PostHog expert actually do? Many people who advertise themselves as “PostHog experts” are developers who can wire…
Consistent UTMs for Reliable Marketing Attribution
UTMs are small, but they decide whether your campaign reporting is usable. When every campaign link follows the same naming…
PostHog Currency Conversion and Revenue Tracking
Convert each transaction into a reporting currency using its currency code, amount and an explicit rate date. In PostHog, the…
PostHog WordPress Installation Methods
If you have a WordPress website and want to set up PostHog, you’re probably wondering which plugins, extensions, or integration…
PostHog Shopify Installation Methods
If you want to use PostHog on Shopify, you have a few different setup options. The right choice depends on…
Pre-Lander Opt-In Form A/B Test: 52% Lift
A shorter, conversational pre-lander form increased the reported opt-in rate from 21.12% to 32.05% during an 11-day experiment. That is…
Form Design for Lead Quality, Not Just Volume
Design application forms around the information needed to qualify and serve a lead—not around subm Subscribe or log in to…
Webinar Waiting Room A/B Test: What Drives Conversions?
The default 27-second waiting room led the two alternatives on the outcomes reported in this histori Subscribe or log in…
Application Form A/B Test: Urgency Question Impact on Lead Quality
In conversion rate optimization (CRO), we often hear the mantra “simpler is better.” Streamline Subscribe or log in to read…
Relatability A/B Test: Making Visitors Feel Seen
Here we are with another experiment and another lesson for anyone who wants to improve their website Subscribe or log…
PostHog vs Hyros: Which Tracking Tool Fits Best?
PostHog and Hyros both help you understand growth, but they are built for different decisions. PostHog is best when you…
Form Merge CRO Case Study: 26% Lift
Combining booking and application into one experience increased the reported complete-application ra Subscribe or log in to read the rest…
How to Reduce PostHog Costs
If you’re using PostHog as your analytics and experimentation platform, you might have chosen it because it’s generous with its…
Pricing A/B Test: Trial vs No Trial, $27 vs $17
This four-arm subscription test produced an early signup leader, but the later revenue winner is not Subscribe or log in…
Testimonial Placement A/B Test: Impact on Conversions
Social proof near a post-registration offer can be tested as placement, format or amount—but those Subscribe or log in to…
Social Proof A/B Test: Do Live Notifications Increase Conversions?
Quick answer: Adding a live Provely activity widget reached a 4.64% conversion rate and a 94.79% pro Subscribe or log…
Video Length A/B Test: Short vs Long
This is another test focused on the videos used in our client’s sales page.This time, we’re trying Subscribe or log…
Headline Multi-Variant Test: Which Message Won?
Quick answer: The headline promising free luxury experiences “in every area of your life” led th Subscribe or log in…
Video Controls A/B Test: Removing Controls Lowered Opt-Ins
Quick answer: The no-controls video version had a lower opt-in rate across 1,962 participants over t Subscribe or log in…
Radio Buttons vs Multiple CTAs: Impact on Opt-Ins
The complete date-selection package had the highest observed opt-in rate, but the experiment did not Subscribe or log in to…
Headline A/B Test: Simple vs Complex Copy
One benefits-led headline rewrite increased the reported purchase rate from 0.20% to 0.43% across 7, Subscribe or log in to…
Webinar Join Rate A/B Test: Do Shorter Waits Boost Attendance?
A two-minute post-registration schedule produced a higher reported webinar-join rate than a wait of Subscribe or log in to read…
PostHog Installation on ClickFunnels
Installing PostHog on ClickFunnels is a small setup, but it has a large impact on how much you can trust…
Timestamp A/B Test: Does Time Help or Hurt?
Keeping “11 AM ET” in the challenge headline produced the higher observed opt-in rate: 35.36% ve Subscribe or log in…
PostHog A/B Testing on ClickFunnels
Quick answer: Duplicate the ClickFunnels page you want to test, create and save a PostHog experiment, then create a control…
Testimonial A/B Test: Does Social Proof Boost Conversions?
We recently ran another A/B test on a client’s funnel—this time focused on trust signals. The cl Subscribe or log…
CTA Button A/B Test: Animation vs No Animation
Removing a CTA’s wobble animation increased the measured next-page conversion rate from 50.66% to Subscribe or log in to read…
PostHog Internal User Filtering
Picture this: your analytics should reflect real users, not coworkers clicking around. so when tracking activity with PostHog, blocking off…
PostHog Slack Integration: Event Alerts
If you’re using PostHog to monitor user behavior and product analytics, the PostHog Slack integration is a powerful way to…
PostHog Alert Setup for Websites
Analytics dashboards are useful, but they only help when someone checks them. PostHog alerts make your website analytics proactive. Instead…
PostHog Experiment & Feature Flag Naming Guidelines
Clear and consistent naming helps your team instantly understand what each PostHog experiment is for, without having to dig through…
PostHog A/B Testing on Shopify
You can run a trustworthy PostHog A/B test on Shopify without installing a dedicated testing app. The difficult part is…
PostHog A/B Testing on WordPress
Running an A/B test on WordPress with PostHog is possible, but the setup needs more care than a simple tracking…
PostHog Shopify Installation and Event Tracking
Time after time, it strikes me how often Shopify merchants hunt for better ways to track what happens in their…
PostHog Setup: Account, Organization, Project, and Tracking
In this blog we share our experience in conversion rate optimization and everything that we faced along the way. PostHog, being our main tool in CRO, has a big effect on it, thus we talk about it a lot.
How we installed PostHog on WordPress
In this blog we share our experience in conversion rate optimization and everything that we faced along the way. PostHog, being our main tool in CRO, has a big effect on it, thus we talk about it a lot. We have installed PostHog on many tech stacks, WordPress being one of the most popular of them.