Datanyze is a sales intelligence and lead generation solution. Data can be accessed right within Salesforce.
N/A
Agentforce Revenue Management
Score 8.7 out of 10
Mid-Size Companies (51-1,000 employees)
Salesforce Revenue Cloud (formerly Salesforce CPQ or SteelBrick) is built and delivered on the Salesforce Platform and Salesforce1 Mobile App which enables users to create accurate sales quotes quickly and submit error-free orders on the fly from any device.
$30
Per User per Month
Pricing
Datanyze
Salesforce Agentforce Revenue Management
Editions & Modules
No answers on this topic
Basic
$30
Per User per Month
Professional
$50
Per User per Month
Enterprise
$75
Per User per Month
Offerings
Pricing Offerings
Datanyze
Agentforce Revenue Management
Free Trial
No
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
Optional
Additional Details
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More Pricing Information
Community Pulse
Datanyze
Salesforce Agentforce Revenue Management
Features
Datanyze
Salesforce Agentforce Revenue Management
Prospecting
Comparison of Prospecting features of Product A and Product B
Datanyze
6.9
18 Ratings
12% below category average
Salesforce Agentforce Revenue Management
-
Ratings
Advanced search
6.716 Ratings
00 Ratings
Identification of new leads
5.915 Ratings
00 Ratings
List quality
7.316 Ratings
00 Ratings
List upload/download
7.012 Ratings
00 Ratings
Ideal customer targeting
7.917 Ratings
00 Ratings
Load time/data access
6.516 Ratings
00 Ratings
Sales Intelligence Data Standards
Comparison of Sales Intelligence Data Standards features of Product A and Product B
Datanyze
8.6
18 Ratings
10% above category average
Salesforce Agentforce Revenue Management
-
Ratings
Contact information
7.316 Ratings
00 Ratings
Company information
9.318 Ratings
00 Ratings
Industry information
9.316 Ratings
00 Ratings
Data Augmentation & Lead Qualification
Comparison of Data Augmentation & Lead Qualification features of Product A and Product B
Datanyze
8.5
17 Ratings
13% above category average
Salesforce Agentforce Revenue Management
-
Ratings
Lead qualification process
7.611 Ratings
00 Ratings
Smart lists and recommendations
6.08 Ratings
00 Ratings
Salesforce integration
8.314 Ratings
00 Ratings
Company/business profiles
9.716 Ratings
00 Ratings
Alerts and reminders
6.010 Ratings
00 Ratings
Data hygiene
9.914 Ratings
00 Ratings
Automatic data refresh
9.311 Ratings
00 Ratings
Tags
10.013 Ratings
00 Ratings
Filters and segmentation
10.013 Ratings
00 Ratings
Sales Intelligence Email Features
Comparison of Sales Intelligence Email Features features of Product A and Product B
Datanyze
8.5
1 Ratings
13% above category average
Salesforce Agentforce Revenue Management
-
Ratings
Sales email templates
7.01 Ratings
00 Ratings
Append emails to records
10.01 Ratings
00 Ratings
CPQ
Comparison of CPQ features of Product A and Product B
Datanyze can be a useful tool for understanding your market. You're able to use Datanyze to see how many people are using your technology as well as who is using your competitors. Receiving alerts on who is adding and dropping you vs your competitors is always helpful. It's a tool that can potentially give back as much as you put in.
What I like best is the ease of use to be able to track all opportunities and quotes in my daily sales tracker I also like the fact that you can reorganize the view for your opportunities. For instance, it is very similar to a spreadsheet where you can filter them by date, dollar amount, name, and several other ways. I found this to be less appropriate when we have to do multiple roles while assigning one task to multiple users. Column resizing within the Quote Line Editor is not supported in the Salesforce mobile app.
Datanyze used to give really good data on specific person level. You could then look up prospects using the Chrome extension inside of LinkedIn. This made prospecting extremely easy and very efficient. Unfortunately, this no longer exists and it is much harder to do without their data.
I have found that sometimes the data inside of datanyze is not always current. When reaching out to companies they will mention that they were just testing a tool, not fully using it.
There are really no other places to push the data from Datanyze except for Salesforce. This makes it tough when using other tools or CRMs.
Our Salesforce is very messy, which tells me it's not super easy to clean up.
I always have a really hard time removing a contacts from an account - it seems like you can't simply remove the relationship so we have lots of people named DO NOT CONTACT or things of that nature.
Sometimes when saving it doesn't seem like things actually save.
I would give it an eight because it's very customizable in the way that you want to create it. I think I'm just docking points because sometimes there can be a little too much customization, which can make it a little complicated, but it just depends on the complexity of your business and how you guys build it out in the first place.
There have been some issues with multi-year pricing of certain products and services which we have been assured will be resolved but I guess are still underway, the support team apart from this has not been needed much and in the rare scenarios, it has been needed the resolutions of conflicts has been prompt and quick, so the overall support would have my high regards for being so helpful and customer-oriented so as to assure good performance of their toolset and customer satisfaction.
I've used products like Builtwith and Wappalyzer and neither compare to the level and organization of data within Datanyze. It's much more robust and easy to access. However, it isn't perfect and sometimes needs to be updated, or removed and re-installed simply for it to function
There is no comparison to a fully functional instance of CPQ. Nothing comes close due to the amount of customization and ease of use that CPQ offers once it's fully built out. Other solutions may be easier to build or administer, but for the users and business needs, CPQ is the best solution possible.
Easy access to reporting on closed-won, closed-lost, and open quotes.
Accuracy in data referenced in a quote - it's typically accurate as it is pulled directly from opportunity, looking up to associated subscription start/end dates, etc..
We lose valuable time in creating quotes ourselves. Quotes were requested and created through sales ops previously, sales did not have access to the excel templates used to generate quotes.