Demandbase is presented as a pipeline AI platform used by GTM teams to automate growth. It creates a unified view of data, insights, actions, and outcomes, so B2B enterprises can align and execute their account-based GTM strategies.
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Optimizely Web Experimentation
Score 8.7 out of 10
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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.
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Pricing
Demandbase One
Optimizely Web Experimentation
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Demandbase One
Optimizely Web Experimentation
Free Trial
No
Yes
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
Yes
Yes
Entry-level Setup Fee
Optional
Optional
Additional Details
The Demandbase One for Sales and Marketing platform fee covers the essential software and services. In addition, there’s a flat fee per user.
Demandbase One is well-suited for ABM Marketing, providing intent-based account details, account scoring methods, and understanding account intent. It also enables creating a list of accounts and individuals for retargeting based on specific filters. Easy to integrate with Salesforce, LinkedIn, Google Ads, and multiple other channels. Advertising through the Demandbase channel is more effective for advertisers who use retargeting with the intent list.
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.
Relatively inexpensive service for a decent current awareness service. They have added little in sales functionality in the past year as they focused on building a marketing version of the product. Except for the addition of broader European coverage last spring (thin Equifax records), the database was static over the past year.
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
InsideView was extremely user-friendly. I was able to quickly understand how to efficiently use the software and get the most out of the service. I only had a short time to quickly learn how to use the functions offered by InsideView, and I felt confident within the first day of my understanding and ability to successfully use this tool.
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.
We had an intro session with a customer success rep and were given a rundown of the platform and it was absolutely perfect. The rep was able to show us advanced search options and shortcuts that cut our search time.
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).
We had to work with InsideView for some custom configurations example we have a custom field in Salesforce called ha location that needed let's say NJ to spell out New Jersey and make certain fields mandatory. They were easy to work with though.
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.
We selected Demandbase based on their premium B2B DSP, their integrations with third party ad sites and our CRM and tech stack. Their intent signals and ability to integrate the data we have in Demandbase to GCP through their DataStream product to build our own models and leverage in our own dashboards has been extremely beneficial
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.
Save me time doing company research from an average of 25 mins to an average of 7 mins for large ICP accounts.
Save me time by integrating the contact research without jumping out of InsideView to do it in a separate app.
A morning 10 mins scan of the target company news feed gave me a high level view of the most important news that I need to know regarding my prospect accounts and their respective industries.
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.
