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Software · head to head

Google Optimize vs Planhat

Google Optimize logo

Google Optimize

Software

A/B testing for Google Analytics

From
Free
Rated
-
Planhat logo

Planhat

Software

The Beautiful Customer Platform

From
On request
Rated
-

The short version

  • Only Google Optimize has a free tier, so it costs nothing to try first.
  • Each has a real cost: Google Optimize google Optimize and Optimize 360 were sunset and are no longer available as of September 30, 2023; Planhat implementation demands data-modeling expertise and dedicated technical administration
  • They diverge on capability: Google Optimize covers A/B testing, Planhat covers Customer portals.

Where they differ

Only the attributes on which Google Optimize and Planhat actually diverge.

Attributes where Google Optimize and Planhat differ
AttributeGoogle OptimizePlanhat
Starting priceFreeOn request
Pricing modelfreemiumUnknown
Free tierYesNo
Founded19982015

Identical on both: platforms (Web), user rating (Not yet rated), category (Unknown).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Google Optimize

  • A/B testing
  • Google Analytics integration
  • Visual editor
  • Real-time analytics
  • Google Analytics
  • Google Tag Manager
  • Google's security
  • Cloud deployment

Only in Planhat

  • Customer portals
  • Revenue analytics
  • Health scores
  • Playbooks
  • Usage tracking
  • Salesforce
  • HubSpot
  • Segment

Both cover

  • Web support

What people use each for

The jobs each tool is most often brought in to do.

Google Optimize

  • A/B and multivariate testing of web pages tied to Google Analytics goalsnot Planhat
  • Personalising page content for defined audience segmentsnot Planhat
  • Redirect tests between alternative landing page URLsnot Planhat

Planhat

  • Customer Successnot Google Optimize
  • Customer Portalsnot Google Optimize
  • Data Managementnot Google Optimize

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Google Optimize

  • Google Optimize and Optimize 360 were sunset and are no longer available as of September 30, 2023
  • Any experiments and personalizations still running on that date were ended by Google
  • Google directs former users to third-party A/B testing tools, naming AB Tasty, Optimizely and VWO, rather than a replacement Google product

Planhat

  • Implementation demands data-modeling expertise and dedicated technical administration
  • Zero pricing transparency requiring direct sales engagement for quotes
  • Integration and data synchronization complexity requiring developer involvement
  • Users report data inaccuracies affecting platform reliability

Pricing, plan by plan

Google Optimize

Free
  • FreeFree
    • A/B testing
    • Google Analytics integration
    • Visual editor

Planhat

On request
  • Start-Up$1150/month
    • Customer 360
    • Health scores
    • Basic playbooks
  • Professional$1750/month
    • All Start-Up features
    • Advanced playbooks
    • Renewal forecasting
  • Enterprise$custom/mo
    • All Professional features
    • Advanced analytics
    • Dedicated support

Which should you pick?

Choose Google Optimize if

  • You need a/b testing.
  • You want to start without paying.
  • You also want google analytics integration.

Choose Planhat if

  • You need customer portals.
  • You also want revenue analytics.

Questions people ask

Is Google Optimize or Planhat better?
Neither clearly leads. Google Optimize starts at Free and Planhat at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Google Optimize or Planhat?
Google Optimize has a free tier; the other does not. Paid plans start at Free for Google Optimize and On request for Planhat.
Does Google Optimize or Planhat run on more platforms?
Both run on Web, so platform support will not decide this one for you.
Can I use Google Optimize for free?
Yes. Google Optimize has a free tier, so you can try it without paying. Planhat starts at On request.
What is Google Optimize best used for?
Google Optimize is most often used for a/b and multivariate testing of web pages tied to google analytics goals, personalising page content for defined audience segments, redirect tests between alternative landing page urls. Of those, a/b and multivariate testing of web pages tied to google analytics goals and personalising page content for defined audience segments are not what Planhat is typically brought in for.
What can Google Optimize do that Planhat cannot?
Google Optimize covers A/B testing, Google Analytics integration, Visual editor, Real-time analytics. Planhat covers Customer portals, Revenue analytics, Health scores, Playbooks. Both handle Web support.

Answered from the vendors’ own pages

Planhat: What is Planhat's pricing model?

Planhat uses custom, quote-based pricing with no published rates. Start-Up plans estimated at $1,150/month, Professional around $1,750/month ($25K-$45K/year for mid-market), and Enterprise from $50K-$100K+/year. All plans include unlimited users.

Source
Planhat: Does Planhat include unlimited users?

Yes. All Planhat plans include unlimited users, so scaling the platform across the organization does not increase per-seat costs.

Source
Planhat: What integrations does Planhat support?

Planhat offers a full REST API and webhooks for read/write access, enabling advanced integrations with CRMs, data warehouses, and other systems. However, integration complexity requires developer involvement.

Source
Planhat: How long does Planhat take to implement?

Planhat requires significant implementation time due to data modeling and configuration depth. The platform demands dedicated technical administration and planning expertise.

Source
Planhat: What customer success features does Planhat provide?

Planhat includes Customer 360 profiles, customizable health scores, playbooks and automations, renewal forecasting, expansion tracking, and flexible data modeling for complex customer lifecycles.

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