Bloodhound and Hotjar: better together, not against each other.

Why this is not a versus page

A lot of comparison pages on the internet try to win by pretending the other tool is the wrong choice. That is dishonest when the two tools answer different questions. Hotjar and Bloodhound are an example. We do not compete with Hotjar. We sit next to it.

Hotjar, now part of Contentsquare, is a qualitative behaviour analytics tool. Heatmaps, session recordings, on-page surveys, feedback widgets. It is built for marketers and CRO specialists who want to understand what users do on a page and why. It is genuinely good at that.

Bloodhound is a technical quality monitor for Shopify stores. JavaScript errors, Core Web Vitals from real user traffic, third-party script performance, WCAG 2.2 accessibility, security headers, supply-chain risk, checkout funnel telemetry via Web Pixel. It is built for the operator who wants to know whether the store is working and what is costing them sales.

The complementary workflow

Here is the loop that teams running both tools tend to settle into:

1. Bloodhound alerts on a problem. A JavaScript error firing on mobile Safari on the product page. A LCP regression on collection pages. A new accessibility blocker introduced by a theme update. A third-party script that has doubled its load time.
2. You open Hotjar to see the user experience of it. Watch a few session recordings of users who hit the issue. Did they bounce? Did they rage-click? Did they try to scroll past it? You now know what the user felt, not just what the metric said.
3. You fix the underlying bug. Theme edit, app removal, alt-text addition, header change.
4. You verify in Bloodhound. The error count drops. The revenue impact estimate falls to zero. The Core Web Vital recovers.

Bloodhound is the alert. Hotjar is the post-mortem. Together you know what broke and what it looked like when it broke.

What each tool does, side by side

Where Hotjar's session replay has a known limitation

Hotjar samples recordings, typically 10 to 20 percent of sessions depending on plan, and excludes checkout pages from recording in most configurations because of payment data sensitivity. That means the exact place you most need bug visibility, the checkout, is the place Hotjar is least likely to capture. And the bugs that affect a small percentage of users, a mobile-specific issue or a browser-specific failure, are likely to be underrepresented in the sample.

Bloodhound captures every error event from every session, including checkout via Web Pixel, with no sampling on error capture. The two telemetry models complement each other: Bloodhound for completeness, Hotjar for richness on the sessions it records.

If you can only pick one

Most stores cannot justify both at the start. If you have to choose, the question to ask is which tool has the more direct relationship to revenue. A JS error breaking add-to-cart on mobile Safari has a specific, calculable cost, and Bloodhound calculates it. A heatmap showing users scroll past your product description is useful CRO input, but its revenue impact is indirect.

For most Shopify stores that have not done error monitoring before, Bloodhound is the higher-leverage first install. The first time you see a bug that has been quietly breaking checkout for two weeks, the value is immediately obvious. Add Hotjar afterwards when you want to understand the qualitative experience around the issues Bloodhound surfaces.

Already using Hotjar?

Keep it. Add Bloodhound. You do not have to remove anything. Bloodhound installs from the Shopify App Store in a single click, runs alongside Hotjar without conflict, and starts surfacing JavaScript errors and Core Web Vitals data within minutes. The two dashboards live side by side and answer different questions about the same store.