PostHog vs Make: Which Marketing Tool Is Better in 2026?
An in-depth, unbiased comparison of PostHog and Make covering features, pricing, privacy, strengths, and weaknesses. This guide helps you decide which analytics tool fits your marketing stack and business goals.
Key Takeaways
An in-depth, unbiased comparison of PostHog and Make covering features, pricing, privacy, strengths, and weaknesses.
- PostHog (Analytics, $0 - usage-based) vs Make (Automation, $0 - $299/mo).
- PostHog lists 10 features; Make lists 10.
- Lead feature compared: Product analytics.
- PostHog: 5 pros / 5 cons; Make: 5 / 5.
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Overview: PostHog vs Make
Before diving into the details, here is a quick side-by-side snapshot of both tools. This overview covers category, pricing model, price range, and the number of standout features each tool offers. Use this as a quick reference, then read the full breakdown below for nuanced analysis.
PostHog is an open source product analytics platform that combines event tracking, session recording, feature flags, A/B testing, and user surveys into a single platform that can be self-hosted or used as a managed cloud service. Unlike traditional web analytics tools that focus on pageviews and traffic, PostHog provides product-level analytics including user funnels, retention analysis, path analysis, and cohort breakdowns. The platform's session recording feature captures user interactions without third-party scripts, helping teams understand exactly how users interact with their product. PostHog's generous free tier includes one million events per month, 15,000 session recordings, and unlimited feature flags, making it particularly popular with startups and product teams.
Read full reviewMake, formerly Integromat, is a visual automation platform that enables businesses to create complex, multi-step workflows connecting hundreds of applications. Make's visual scenario builder provides a flowchart-like interface where you design workflows by connecting modules with data flowing between them through defined routes, filters, and iterators. This visual approach makes it easier to understand and debug complex automations compared to Zapier's linear step model. Make supports advanced features including error handling, data aggregation and iteration, HTTP requests, JSON manipulation, and conditional routing that allows a single workflow to branch into multiple paths. The platform's operations-based pricing model is significantly more cost-effective than Zapier for high-volume automations.
Read full reviewFeature Comparison
The following table compares the core features of PostHog and Make. Features are listed from each tool's published feature set. A check mark indicates the feature is available as a core capability, while an X indicates the feature is not listed or requires third-party integrations.
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Pros and Cons
Every marketing tool has trade-offs. Below we break down the key advantages and disadvantages of both PostHog and Make based on real user experiences, feature analysis, and pricing evaluation.
PostHog
Pros
- +Generous free tier for startups
- +All-in-one product analytics
- +Session recordings included
- +Self-hosting for data control
- +Active community and development
Cons
- -Overkill for simple web analytics
- -Complex setup for full feature set
- -Usage-based pricing can surprise
- -Learning curve for product analytics
- -Self-hosting requires resources
Make
Pros
- +More powerful than Zapier for complex flows
- +Visual design is intuitive
- +Operations pricing is more affordable
- +Better error handling capabilities
- +Advanced data manipulation
Cons
- -Steeper learning curve than Zapier
- -Fewer native integrations
- -Documentation could be better
- -Can be overwhelming for simple tasks
- -Some modules have limitations
Privacy Comparison
Data privacy is a critical factor when choosing a marketing tool. Here is how PostHog and Make handle your data.
PostHog can be self-hosted for complete data control. The cloud version processes data in US and EU regions. The platform supports GDPR compliance with consent management, data anonymization, and data deletion capabilities. Open source code allows full transparency into data handling.
Make processes data through EU-based infrastructure (Czech Republic) with additional servers in US and Japan. The platform is GDPR compliant, ISO 27001 certified, and SOC 2 Type II certified. Data passing through scenarios is processed in real-time and not stored unless using data stores.
Privacy information was last verified in April 2026. Always review each tool's current privacy policy before making a purchasing decision.
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Compare PlansVerdict: PostHog vs Make
Both PostHog and Make are capable analytics tools with distinct strengths. PostHog is the better choice if you prioritize generous free tier for startups and all-in-one product analytics. Make wins if you value more powerful than zapier for complex flows and visual design is intuitive.
Consider your team size, budget, technical requirements, and growth trajectory when making your decision. A tool that fits a five-person startup may not scale to a fifty-person marketing department, and vice versa.
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