PostHog vs Hyros: A Power-User’s Comparison

PostHog can absolutely do basic attribution:

• It captures UTM parameters, referrers, gclid and similar properties.

• You can build first/last touch models, funnels by source, and marketing dashboards.

That’s usually enough if:

• Your ad spend isn’t huge.

• The sales cycle is short and mostly on-site.

• You just need directional insight: “which channel works better?”

You add Hyros when:

• You have long, multi-step funnels (VSLs, webinars, DMs, calls).

• Revenue happens in CRMs, Stripe, PayPal, subscriptions, or offline.

• You want multi-touch, revenue-level attribution and to feed that back into ad platforms via conversion APIs. (+)

So: PostHog is “enough” for web + product analytics. Hyros is what you add when attribution accuracy and ROAS are core to your P&L.

It depends on your spend and business model.

Hyros becomes “worth it” when:

• You’re spending serious money on ads (think 5 figures per month and up).

• The gap between what ad managers, GA4, and backend revenue say is big enough to affect decisions.

• You’re making budget and scaling decisions where a few percentage points of ROAS matter. (+)

GA4 + PostHog can tell you who converted and what they did. Hyros tells you with much higher confidence which campaign, ad, email, and call actually produced that revenue, and pushes that back to Meta/Google via conversion APIs so algorithms optimize on real conversions.

If you’re under ~$10k/month in paid spend and your funnel is simple, you might not see enough incremental value. Above that, Hyros often pays for itself quickly if you act on the data.

For SaaS, you almost always start with PostHog:

• Track activation, retention, feature adoption, and onboarding funnels.

• Run A/B tests and feature flag rollouts on pricing pages, onboarding flows, etc.

You add Hyros when:

• Paid acquisition becomes a major acquisition channel.

• You’re running more complex funnels (VSL → trial → call → close).

• You want precise CAC / LTV by campaign and creative.

PostHog is your product OS; Hyros is your paid marketing attribution layer once ads become non-trivial.

For e-commerce:

• Use PostHog if you care about on-site behavior: product views, add-to-cart rates, checkout steps, and experimentation (e.g. different layouts or upsells).

• Use Hyros when ad spend is meaningful and you need reliable attribution across Meta, Google, TikTok, email, and SMS, plus recurring revenue. (+)

For high-ticket / info / coaching:

• PostHog is nice-to-have for website and in-app behavior.

• Hyros is usually core, because the journey runs across pages, funnels, calls, CRM, and sometimes manual payments – which Hyros is built to join up.

Yes. That’s common in more mature setups.

Typical stack:

• PostHog → product analytics, session replay, experiments, in-product events, marketing attribution at a “good enough” level.

• Hyros → stitching together ads, emails, calls, and revenue across tools; feeding clean conversion data into Meta/Google/TikTok via conversion APIs.

You don’t replace one with the other; you assign each a clear job. That’s exactly the pattern in your “From Chaos to Clarity” case study: PostHog for product, Hyros for spend.

PostHog:

• Has a generous free tier: ~1M events, 5,000 recordings, and 1M feature flag requests per month are free on Cloud. (+)

• Paid plans are usage-based and relatively cheap per unit (e.g. on the order of ~$50 per additional million events).

Hyros:

• Pricing is more like a premium SaaS: public pages now show plans in the low hundreds of dollars per month, with setup/help included, and historically it has often been positioned around the ~$500/month mark for many accounts. (+)

ROI logic:

• PostHog ROI comes from higher activation, better retention, and faster product learning.

• Hyros ROI comes from stopping wasted ad spend and scaling the profitable campaigns.

If paid ads are a small line item, PostHog will carry more weight. If ads are one of your biggest costs, Hyros can easily justify its fee.

PostHog setup:

• Requires developer involvement to instrument events properly (front-end and sometimes back-end), and to design good schemas.

• Self-hosting adds infra work (Kubernetes/Docker, monitoring, upgrades).

Hyros setup:

• Less code, more integration juggling: connecting ad accounts, installing tracking scripts in all funnels, integrating payment processors/CRMs, configuring AI Pixel + conversion APIs.

Both can be “set up” quickly at a basic level; the complexity comes from doing it properly across all funnels and tools. That’s where experienced implementation actually matters.

• Hyros is more “marketer-friendly” out of the box. It’s aimed at media buyers, entrepreneurs, and agencies, with reporting framed around ROAS, campaigns, and creatives rather than raw events.

• PostHog is more engineer/growth-team friendly. You can make marketer-friendly dashboards, but someone technical usually needs to design events, properties, and charts.

So:

• If you’re mostly a marketing team without dev resources, Hyros will feel more natural.

• If you have developers or a growth engineer, PostHog becomes very powerful very quickly.

PostHog:

• Is open source and can be self-hosted, which is a big deal for EU and regulated industries.

• Cloud plans offer EU-based hosting, and the company is explicit about privacy as a differentiator.

Hyros:

• Is a hosted SaaS only – there’s no self-hosted option. You’re sending user and revenue data to a third-party platform in the US.

If strict data residency and GDPR risk are top priorities, PostHog (especially self-hosted or EU cloud) fits that requirement much better. Hyros can still be used in a compliant way, but you’ll need proper contracts, consent flows, and a privacy review.

• PostHog + GA4:

  • GA4 remains your general web analytics and reporting layer.

  • PostHog gives deeper product analytics, funnels, experiments, and can also do marketing analytics via UTMs and conversion goals.

• Hyros + ad platforms (Meta, Google, TikTok, etc.):

  • Hyros acts as a tracking and attribution brain, then sends events to ad platforms via conversion APIs and offline conversions.

In most mature setups you see:

• GA4 for broad reporting and “official” analytics.

• PostHog for product and deeper event analytics.

• Hyros for paid media attribution and feeding clean conversion signals back to ad platforms.

You should bring in someone who understands both PostHog and Hyros when:

• You have real money on the line (big ad budgets or large user base).

• Your stack is already messy: multiple domains, multiple funnels, several ad platforms, CRM, subscriptions, etc.

• Internal teams are fighting over numbers (GA4 vs ad manager vs backend).

• You don’t have in-house people who enjoy thinking about tracking, attribution, and experimentation.

A good consultant will:

• Design the right tool mix (PostHog only, Hyros only, or both).

• Architect events and funnels so numbers actually line up.

• Implement and QA the tracking.

• Hand your product and marketing teams a system they can use without babysitting it.

That’s exactly the pitch in your CTA: “We’ve worked with both, we can guide you based on your specific setup.” The FAQ just gives prospects the rational reasons to believe that.