What is better KNIME Analytics Platform or Leadspace? Reviewing products to find the best Predictive Analysis Software does not always have to be tough. On our review platform, we enable you to match KNIME Analytics Platform and Leadspace and right away analyze their distinct features. We allow you to take a look at their features, supported devices, level of support, pricing, terms, and many more.
It's also possible to review their overall score (8.7 for KNIME Analytics Platform vs. 8.1 for Leadspace) and overall customer satisfaction level (100% for KNIME Analytics Platform vs. N/A% for Leadspace). Take your time and compare your best alternatives and find out which one is best for your company. Likewise, you must consider the software vendor’s business viability; can they be relied upon and will they still be on the market a few years from now?
Right now, the top solutions in our Predictive Analysis Software category are: Microsoft Azure Machine Learning Studio, Sisense, Wolfram Mathematica.
Leadspace integrates with the following third-party tools, applications, and technology solution providers:
Salesforce
Marketo
HubSpot
Eloqua
Engagio
LeonData
Oracle
Oracle Data Cloud
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Marketo, N3, Microsoft
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
email
phone
live support
training
tickets
General Info
An AI-powered audience data management software solution that can optimize marketing and sales funnels by capturing best and qualified prospects, customers, and audiences, segmenting audiences into targeted and prioritized accounts based on buyer persona, predictive score, and user-defined characteristics, and generating clean, accurate, and up-to-date B2B data and intelligence which can be used for personalizing cross-channel marketing campaigns and increasing conversion rates.
All the data, information and experiences that we presented in this table were taken from official vendor pages, promotional content available online, actual experience from real customers as well as our individual direct use of every app by an expert. We put a lot of effort to extensively analyze every solution, therefore we not only examine it on our own, but we also correlate our findings with opinions of other members from the SaaS community.
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