Spiky uses the power of AI to gain insights into how well a meeting is going, identify areas for improvement, and determine the path of improvement. Use Cases: Leverages customer insights to prioritize the needs and reactions of the customers to increase sales performance. Faster training. Utilizes insights and leads sales team to maximum potential with asynchronous sales team training. Intelligent…
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.
Spiky sales coaching powered by AI. The difference between sales coaching and sales training is that coaching is all about improving what is already going on in your sales operations, so the results come faster for two reasons: a) Personalized recommendations to each member of the team based on analysis of their current sales meetings and performance. b) The recommendations and suggestions can be prioritized for implementation based on results. Sales training is about general best practices and skills that need to be acquired and practiced by your team for a certain time before you can see the results. It's more general, less effective, and less immediate. Spiky is sales coaching on steroids.
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.
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.
I don't particularly appreciate that it's only available in English.
We do also operate with customers in South America, where all conversations are carried in Spanish, so presently, we can only enjoy the competitive advantages in half of our sales operations.
This kind of breakthrough technology should be available globally.
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.
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
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.
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.
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.
Spiky.ai has a unique approach for layering in sentiment/emotional analysis, which makes it much easier to review calls with the context. For example, sales reps and managers can capture how customers react to demos, new product features, different talk tracks, answers to questions or objections etc. This would be super hard to analyze (and very subjective) and do without Spiky's assistance on calls. There is so much data from video calls that are not captured by traditional tools like Gong and Spiky is adding super powers that help everyone better understand what is working or isn't working.
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
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.
