Oracle CPQ is a cloud-based application that helps sellers configure the right mix of products or services and create accurate, professional quotes to quickly meet their customers’ pricing needs.
Predictive Pipeline kept track of every change in the sales pipeline and predicts quota attainment boasting 80% accuracy, with Neuralytics, the XANT predictive engine. The product was based on C9 Predictive Sales, owned and supported by XANT (formerly InsideSales.com) since May 2015, and no longer available for sale.
I think CPQ had worked so well for our company because of the widespread nature of our associates and tracking orders that were being placed in multiple time zones. My team specifically needed a way of analyzing these orders to track our progress in real time and sort out any supply orders before they became an issue. If you are in a centralized location with a smaller team then this may not yield much use to you.
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C9 is a good and economical solution for what it does. If evaluating them today, I would want to clearly understand their product roadmap and their ability to execute against it.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
It gives you the ability to see where your pipeline was in the past and compare to how it is now. You can set queries that will allow you to show at risk deals, committed deals, etc.
This gives much better visibility for management to coach.
Significant setup time, cost, and maintenance. We have to use an implementation partner
Does not always play well with other software, even Oracle software. While this is improved and being further improved, that it was a third party acquisition means things sometimes require a little extra care
Additional setup documentation and first walkthroughs would be helpful, especially if it was all in one place
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
We had uptime issues, weird error messages, sluggish performance, and bad data. I hope that some of this can be attributed to growing pains as the company was relatively new when we signed our initial contract.
It was not dependable enough to trust the data and to count on accessing the app when we needed it.
It actually was unavailable at EOQ one time.
I also did not care for the lack of real-time pipeline information. If someone was doing a pipeline review, there was no instant gratification i.e. to see changes in pipeline occur as an AE made a change to an opportunity.
You couldn’t do any configuration at all. Even if you just wanted to change a field or add a filter, you had to go through their services team. It was a recognized challenge and I saw roadmap addressing it.
The query tool is a little hard to use and we have found that queries are very slow and lock up.
So far it is all good with BigMachines, looking for new features since Oracle acquisition has created a lot of expectations. We have outlined our limitations (out of box functionality) in our periodic customer successor advice meetings for a while, hope we get a resolution soon. Also, the BigMachines user license fee has increased a lot in the last three years.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
C9 is now part of the sales management culture here at IPC. There is no longer any guesswork about the funnel or the forecast. C9 does something that SFDC does not...it increases significantly the value of the information in SFDC by unlocking the meta data that we all need to run the business
The software UI can be as complex or as simple as you need it to be (depending on the business). It does require training others on quote configuration and the order in which to build out order positions prior to configuring a quote. Once users are trained;however, it is fairly straight-forward. The UI is still more static than other new wizard/drag-and-drop models, but it get's the job done
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
From a sales manager’s perspective it was fairly easy to use the base functionality (just viewing current pipeline) and much harder to look at analytics (pipeline changes over time). C9 made this easier by allowing sales ops to publish views to sales managers. The query tool was harder to use than it had to be. For example, there were no out of the box relationships set up between Salesforce.com tables (e.g. accounts to opportunities), so I had to create those relationships myself.
It depends upon the day however there are so many failure points with online services, including our internet service, that this is probably closer to 9 with the latest version
Some specific support personal was good and fixed some problems fast using proper solutions. But when one of them went to sleep when we had critical issues and they do unreported commits to our production environment which caused issues and they were hiding it?? you can not give more than a two (maybe even that is too much). They also failed to add a feature for us which also bring the grade down.
C9 cares about their customers and responds quickly. However, the ticketing system could be better and there is no easy way to track the status of your requests.
They have pretty good training. Our business analysts have been able to go to entry and advanced level training. They have a train the trainer model. Our business analyst attended training, then trained the rest of our staff.
It was a much more technical implementation than we thought. It involved much more code.
Future releases have made and will make administering the tool easier.
EDL consulting had one good developer, but when he was moved off, they were horrible to work with.
The BMI sales team does a “BOA” or a “Business Operation Assessment” which is extremely valuable, not only for them to scope an implementation and get more reach within the organization, but it is also a documentation of business process that most organizations don’t have. It highlights inefficiencies and allows for correction during implementation.
Having a dedicated team (in-house) for implementation is key
Very simple implementation. They basically set up the imports and then they configure the tool per customer requests.
I wish there had been more consultation during the implementation, but it wasn’t bad given the effort expended. We ended up re-implementing after about a year and a half.
Oracle engagement is ahead. They are active in the development of the tool and provide great support after implementation. They also listen to their customers and offer opportunities to feedback and provide input through activities like the customer advisory board forum.
Zoho CRM is less up to speed and much more out of date. The support at InsideSales.com Predictive Pipeline have been very helpful during the initial roll out face. Overall I was very happy!
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Increased Sales Rep efficiency. Being able to create multiple quotes ACCURATELY and quickly was a game changer.
Large implementation time. It's a little difficult to fit BMI into a SCRUM style build, with multiple working models and prototypes of all 3 simultaneously.
A larger fee for licensing and implementation cost. ROI wouldn't be realized in the first year.
The product provides a single source for pipeline and forecast data and has scaled well with our organization. We have grown from 10 sales reps to 100 reps and we really needed a tool to to manage data and do roll-ups etc.
It's also important to provide senior management visibility into the pipeline, and the tool works well for this.
