Arktis vs PostHog: The PostHog Alternative for E-commerce Brands (2026)

Arktis and PostHog both record what visitors do on your site, and that is roughly where the overlap ends. Arktis is a privacy-first attribution and user journey platform built for e-commerce brands, made by Balthazar Project AB in Stockholm. PostHog is an open-source product analytics platform built for software teams, used by more than 600,000 companies. If your question is "which ad campaign paid for this order," Arktis answers it out of the box and PostHog does not. If your question is "how do users move through my app and which feature flag changed that," PostHog is the better tool and Arktis does not try. This comparison uses PostHog's own pricing page and documentation as of September 2026 and is written by the team that builds Arktis, so read the verdict with that in mind.

Key takeaways

Arktis does multi-touch marketing attribution with switchable models, ad click ID capture, CAC and ROAS per campaign, and native Shopify and Stripe revenue; PostHog's Marketing Analytics is an opt-in beta that matches conversions to campaigns by UTM value and reports cost per click and cost per conversion, without attribution models or ROAS. PostHog has a far larger free tier, 1 million events and 5,000 session recordings every month, and much deeper product analytics, feature flags and experiments. Arktis enforces recording consent on the server and stores data in the EU by default; PostHog offers an EU cloud and a consent API that you configure yourself. Arktis installs with one script tag and no engineer; PostHog's most common complaint in 2026 reviews is its learning curve for non-technical users. For an e-commerce brand spending on Meta or Google, Arktis is the right choice. For a product team shipping software, PostHog is.

At a glance

What is the difference between Arktis and PostHog?

The difference is the question each tool was built to answer. Arktis starts from the ad click. Its tracker captures fbclid and gclid when a visitor lands, follows that visitor across sessions, and when a Shopify or Stripe order arrives it connects the order back through every touchpoint to the campaign that introduced the customer and the one that converted them. Everything else in the product, session recordings, AI agents, live view, hangs off that journey. PostHog starts from the product event. It captures pageviews and clicks automatically, lets engineers send any custom event, and builds funnels, retention curves, feature flags, A/B experiments, error tracking and a data warehouse on top. Its analytics are excellent at "what did users do inside the product" and were not designed around "which paid channel deserves credit for revenue."

Arktis Iceberg is the attribution and analytics product, and Polar Bear is the set of AI agents that act on that data. PostHog is one platform with more than a dozen products billed separately by usage.

Does PostHog do marketing attribution?

Only in a limited, beta form. PostHog's Marketing Analytics, which its documentation describes as "currently an opt-in beta," imports spend from Google Ads, Meta Ads, LinkedIn Ads, Pinterest, TikTok, Reddit, Bing and Snapchat and reports total cost, cost per click, click-through rate and cost per conversion. Conversions are attributed by matching the campaign's name to the utm_campaign value on the conversion event and the source to utm_source. The documentation does not describe attribution models, attribution windows, or matching on ad click IDs, and it does not report return on ad spend. In practice that means a customer who clicked a Meta ad on Monday, came back from a Google search on Wednesday and bought on Friday is either assigned to whichever UTM survived or not assigned at all.

Arktis was built for exactly that journey. Every touchpoint is stored, credit can be split by first-touch, last-touch, linear, time-decay or position-based rules and switched per report, ad spend from connected accounts turns into CAC and ROAS per campaign, and the click IDs mean attribution survives visitors who strip UTMs or arrive through a shortened link. You can see how the models differ on your own numbers with the free attribution model comparison tool before installing anything, and our guide to marketing attribution models explains what each rule assumes. Where PostHog is ahead is breadth of ad platform import: Arktis syncs Facebook Ads today and captures Google click IDs, with Google Ads and TikTok campaign sync planned rather than shipped.

Which works better with Shopify and Stripe?

Arktis, by a wide margin, because commerce data is native rather than bolted on. The Shopify integration pulls orders, products, customers and inventory so revenue, average order value and product-level demand sit next to the sessions that produced them, and the Stripe integration matches paying customers to their anonymous browsing history with a four-pass matching process. There is no code to write on the store side beyond the script tag.

PostHog's Shopify documentation covers installing the snippet in your theme, which gives you pageviews and clicks. Order and revenue events need either a third-party connector such as PixieHog, Redbird, RudderStack or Converge, or custom code in the checkout, and PostHog's Revenue Analytics is itself a beta whose dedicated dashboard has been removed in favor of querying revenue properties through insights and SQL. It works, and for a software business with Stripe subscriptions it works well, but an e-commerce brand is assembling the pipeline PostHog assumes you already have.

How much does PostHog cost in 2026?

PostHog is free for most companies and usage-based after that. According to its pricing page in September 2026, every product has a monthly free allowance that resets whether or not you have a card on file: 1 million analytics events, 5,000 session recordings, 1 million feature flag requests, 100,000 error exceptions, 1,500 survey responses, 1 million data warehouse rows, and free allowances on data pipelines, AI observability, logs and PostHog AI. The free tier includes one project, one year of data retention, unlimited team members and community support. PostHog says 97 percent of companies never pay.

Past the allowance you pay per unit with volume discounts: analytics events start at $0.00005 each between 1 and 2 million and fall to $0.000009 above 250 million, and session recordings cost $0.005 each from 5,000 to 15,000 and fall to $0.0015 above 500,000. Paying unlocks six projects, seven years of retention and email support, with Slack support above $2,000 a month. Each product has its own billing limit, so a traffic spike stops processing rather than surprising you with an invoice. There are no annual commitments and no free trial because there is nothing to trial; the free tier is the product. Platform add-ons such as SSO, audit logs and custom roles are packaged separately, and an onboarding call with a PostHog engineer costs $80.

Arktis prices by monthly tracked visitors rather than by event. The free plan covers 1,000 tracked visitors a month with no time limit. Iceberg Starter is $49 a month for up to 50,000 monthly tracked users with multi-touch attribution and click ID matching, Growth is $149 for up to 250,000 with session recordings and custom attribution models, and Scale is $349 for unlimited users with raw export and API access. Polar Bear AI agents start at $199 a month and require an Iceberg plan. Full details are on the pricing page. On raw price PostHog is cheaper for a small store, and it would be dishonest to say otherwise. The difference is what the money buys: a $49 Arktis plan includes attribution capabilities PostHog does not sell at any price, and the visitor-based model means a store's bill does not climb because a product launch tripled its event volume.

PostHog session replay vs Arktis session recordings

Both products record sessions with the same open-source engine family (PostHog uses rrweb, as does Arktis), so playback quality is comparable. The differences are volume, retention and what sits next to the recording. PostHog gives you 5,000 recordings free every month and charges $0.005 per recording after that, masks text inputs by default, and adds Replay Vision, an AI layer that summarizes recordings, with 2,500 free credits a month. PostHog's replay documentation keeps recordings for up to 30 days on the free plan and up to 90 days on pay-as-you-go, with up to one year on its Boost and Scale packages and five years on Enterprise, separate from the one-year or seven-year retention on events.

Arktis includes recordings from the Growth plan without a per-recording charge, keeps them alongside the visitor's attribution journey so you can open the exact session of a buyer who came from a specific campaign, and counts clicks, keystrokes and scrolls per recording for filtering. The difference that matters most for a European brand is enforcement: an Arktis recording chunk is refused by the backend unless the visitor's consent flag is true, and the recording script is not even loaded before consent. PostHog's session replay is disabled without cookie consent when you integrate its SDK behind a consent manager, which is a sound design, but the enforcement lives in your configuration rather than in the platform. Our guide to session recording and GDPR covers what auditors actually ask for.

Which is better for GDPR and EU data?

Both can be run in a GDPR-compliant way; Arktis makes fewer of the decisions your responsibility. Arktis runs in the EU by default, on Google Cloud in Belgium with its Postgres database in Frankfurt, is designed to work without cookies through a first-party anonymous identifier, and gates recordings on consent at the database. PostHog offers an EU cloud in Frankfurt alongside its US cloud, a granular consent API, a cookieless server-side hash mode, default masking of text inputs, and it will sign a data processing agreement. The 2026 guidance from privacy consultancies is consistent: pick PostHog's EU cloud or self-host, wire the SDK behind your consent manager, mask sensitive elements, and set a short retention. Every one of those is a step you take. With Arktis the equivalent list is shorter because the defaults already point the right way. For the broader picture, see GDPR compliant analytics.

Setup and who has to run it

Arktis is one script tag, a Shopify or Stripe connection, and data the same day, with no SQL required to read any report. PostHog installs quickly too, but getting value from it beyond the default web analytics dashboard means defining events, writing HogQL, which is PostHog's SQL dialect, and, for experiments, shipping code, since there is no visual editor. The most consistent theme across G2, Product Hunt and Reddit reviews in 2026 is that non-technical users struggle, and PostHog's own positioning is for engineering-led teams. PostHog holds 4.4 out of 5 on G2 from more than 760 reviews, which is a strong score for a product this deep. The point is not that it is hard to use, it is that it is built for someone who writes code.

Who should choose PostHog?

Choose PostHog if you are building software and want product analytics, session replay, feature flags, experiments, error tracking and a data warehouse in one place with a free tier that most companies never exceed. Choose it if you have engineers who will own the event schema, if you want to self-host or need the open-source license, or if your revenue is subscription-based and flows through Stripe without a storefront. Choose it if you already run PostHog for your app and want basic web analytics on the marketing site too. An e-commerce brand with a technical team and no paid acquisition could also be happy on PostHog.

Who should choose Arktis?

Choose Arktis if you sell physical or digital goods online, spend on Meta or Google, and need to know which campaigns produce orders and at what cost. Choose it if you have no engineer to spare, if your customers are in Europe and you want consent and data residency handled by the platform rather than by configuration, or if you want to watch the actual session of a buyer from a specific ad next to the attribution data. Choose it if you want AI that acts on commerce data, predicting churn, forecasting revenue and flagging campaigns whose CAC just doubled, rather than an assistant that answers analytics questions. Arktis is the wrong choice if you need feature flags, experiments, error tracking or marketing mix modeling, none of which it offers.

Other PostHog alternatives for e-commerce

If neither fits, the tools that come up most often are Mixpanel and Amplitude for product analytics with more marketing-friendly interfaces, Hotjar for heatmaps and recordings without attribution, and Triple Whale or Northbeam for e-commerce attribution at a higher price point. We compare Arktis with each in Arktis vs Mixpanel, Arktis vs Amplitude, Arktis vs Hotjar and the Triple Whale alternatives guide.

Sources

PostHog pricing page, accessed 3 September 2026

PostHog documentation: Marketing Analytics (beta)

PostHog documentation: Revenue Analytics (beta)

PostHog documentation: Shopify installation

PostHog documentation: session replay data retention

PostHog tutorial: cookieless tracking

Flexprice: PostHog pricing guide 2026

Pretty Insights: PostHog review 2026

Omniconvert: PostHog alternative for Shopify CRO (2026)

Probo: How to set up PostHog for GDPR and CCPA (May 2026)

G2: PostHog reviews