Breeze Intelligence for Hubspot, formerly Clearbit, is a data enrichment product that automatically updates sales records with verified company and contact data, with the goal of providing better insights into prospects.
$20,000
Annually
Optimizely Web Experimentation
Score 8.7 out of 10
N/A
Whether launching a first test or scaling a sophisticated experimentation program, Optimizely Web Experimentation aims to deliver the insights needed to craft high-performing digital experiences that drive engagement, increase conversions, and accelerate growth.
N/A
Pricing
Breeze Intelligence for Hubspot
Optimizely Web Experimentation
Editions & Modules
All Plans
$20,000.00
Annually
No answers on this topic
Offerings
Pricing Offerings
Breeze Intelligence for Hubspot
Optimizely Web Experimentation
Free Trial
Yes
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
Optional
Additional Details
Pricing is based on CRM database size, monthly web traffic, and monthly contact creation. Each product is subject to individual terms and plans may be available on a monthly or annual subscription.
For more information, contact Clearbit.
Clearbit is great for companies with large sales teams who focus on high touch prospecting. The time saved by not having to search a prospect's LinkedIn profile, but simply see data in the CRM is awesome. On the other hand, Clearbit may not be as ideal in a company where sales are very transactional
I think it can serve the whole spectrum of experiences from people who are just getting used to web experimentation. It's really easy to pick up and use. If you're more experienced then it works well because it just gets out of the way and lets you really focus on the experimentation side of things. So yeah, strongly recommend. I think it is well suited both to small businesses and large enterprises as well. I think it's got a really low barrier to entry. It's very easy to integrate on your website and get results quickly. Likewise, if you are a big business, it's incrementally adoptable, so you can start out with one component of optimizing and you can build there and start to build in things like data CMS to augment experimentation as well. So it's got a really strong a pathway to grow your MarTech platform if you're a small company or a big company.
The Platform contains drag-and-drop editor options for creating variations, which ease the A/B tests process, as it does not require any coding or development resources.
Establishing it is so simple that even a non-technical person can do it perfectly.
It provides real-time results and analytics with robust dashboard access through which you can quickly analyze how different variations perform. With this, your team can easily make data-driven decisions Fastly.
The data Clearbit provides is good, but it doesn't compare to some competitors. While you can find a large range of data, other providers have more clean data.
The Google Sheets add-on is not as comprehensive. It would be nice if you could search for both prospect emails and numbers there.
Clearbit provides direct dials, but again it's not as accurate as other services.
The majority of the time it provides quick, accessible and easy to use information about the company and contact information. This has really helped us to personalise our outreach while also making it faster to prospect accounts. I don't give it a ten as this information can be inaccurate. Including the LinkedIn link which sometimes re-directs to old LinkedIn accounts, or just the wrong one. This seems to be caused by not updating the information regularly enough (just a feeling, no evidence)
I rated this question because at this stage, Optimizely does most everything we need so I don't foresee a need to migrate to a new tool. We have the infrastructure already in place and it is a sizeable lift to pivot to another tool with no guarantee that it will work as good or even better than Optimizely
Clearbit is very easy to use. Any new joiner can self-onboard, self-learn in matter of hours, if not minutes. Its integration feature within Hubspot and also with Salesforce makes it easy for marketing team to use it every day. The customer support team is also very responsive and helpful to resolve issues within few days
Optimizely Web Experimentation's visual editor is handy for non-technical or quick iterative testing. When it comes to content changes it's as easy as going into wordpress, clicking around, and then seeing your changes live--what you see is what you get. The preview and approval process for sharing built experiments is also handy for sharing experiments across teams for QA purposes or otherwise.
I would rate Optimizely Web Experimentation's availability as a 10 out of 10. The software is reliable and does not experience any application errors or unplanned outages. Additionally, the customer service and technical support teams are always available to help with any issues or questions.
I would rate Optimizely Web Experimentation's performance as a 9 out of 10. Pages load quickly, reports are complete in a reasonable time frame, and the software does not slow down any other software or systems that it integrates with. Additionally, the customer service and technical support teams are always available to help with any issues or questions.
The team has been extremely helpful and works with us one on one with issues we come across. My main issues with the service is it’s outward interactions with us since purchasing the product. They have not proactively checked in to see how our is doing with the product.
They always are quick to respond, and are so friendly and helpful. They always answer the phone right away. And [they are] always willing to not only help you with your problem, but if you need ideas they have suggestions as well.
The tool itself is not very difficult to use so training was not very useful in my opinion. It did not also account for success events more complex than a click (which my company being ecommerce is looking to examine more than a mere click).
In retrospect: - I think I should have stressed more demo's / workshopping with the Optimizely team at the start. I felt too confident during demo stages, and when came time to actually start, I was a bit lost. (The answer is likely I should have had them on-hand for our first install.. they offered but I thought I was OK.) - Really getting an understanding / asking them prior to install of how to make it really work for checkout pages / one that uses dynamic content or user interaction to determine what the UI does. Could have saved some time by addressing this at the beginning, as some things we needed to create on our site for Optimizely to "use" as a trigger for the variation test. - Having a number of planned/hoped-for tests already in-hand before working with Optimizely team. Sharing those thoughts with them would likely have started conversations on additional things we needed to do to make them work (rather than figuring that out during the actual builds). Since I had development time available, I could have added more things to the baseline installation since my developers were already "looking under the hood" of the site.
When evaluating data enrichment solutions, we compared Clearbit against alternatives like ZoomInfo, InsideView, and D&B Hoovers. Clearbit emerged as our preferred choice for several key reasons: - Superior API flexibility and integration capabilities, particularly with our existing tech stack - More competitive pricing model compared to enterprise solutions like ZoomInfo - Higher data accuracy rates, especially for technology companies and digital-first businesses - Better developer documentation and support resources
While competitors like ZoomInfo might offer broader coverage for certain industries, Clearbit's focus on digital-first companies and B2B technology firms aligned perfectly with our target market. The platform's ability to provide real-time enrichment through API calls, combined with its straightforward implementation process, made it the most suitable choice for our specific use case.
The ability to do A/B testing in Optimizely along with the associated statistical modelling and audience segmentation means it is a much better solution than using something like Google Analytics were a lot more effort is required to identify and isolate the specific data you need to confidently make changes
We can use it flexibly across lines of business and have it in use across two departments. We have different use cases and slightly different outcomes, but can unify our results based on impact to the bottom line. Finally, we can generate value from anywhere in the org for any stakeholders as needed.
We're able to share definitive annualized revenue projections with our team, showing what would happen if we put a test into Production
Showing the results of a test on a new page or feature prior to full implementation on a site saves developer time (if a test proves the new element doesn't deliver a significant improvement.
Making a change via the WYSIWYG interface allows us to see multiple changes without developer intervention.
