ZoomInfo OperationsOS

Sales

Returning customers

High support

We were able to pull a lot of names for our clients target Ideal Client prospect.

The database updated regularly

It was a cost effective way to pull a lot of names as well as prevent duplicate targets.

Ability to Quick to book

Reporting

Streamlined sales from bogus opportunities.

Generate more pipeline - indirectly. Data from anywhere still needs to be transformed and used for a business objective.

Saved time in doing research and data population.

Assuming a business will purchase a data vendor, the comparison between other vendors is a factor of cost, functionality, and data quality. ZoomInfo has higher costs typically - which would lower the ROI - but with proper incentives or discounts, the comparative ROI grows.

We've used it to get valuable info on companies we are targeting.

Improved prospecting speed.

Helped cancel out irrelevant leads.

Provided background knowledge about some businesses.

Informed about trends.

Bang for the buck.

Trouble-free interface and graphics.

Makes working and collaborating with teammates fun.

Easily 10x productivity increase across our salesforce

Shorter sales cycles

Increased number of meetings/demos booked

[I think] it's more time-consuming than it's worth. We have to use other products to supplement, which adds additional cost.

I typically seek other products first now, ahead of using this product.

This is a lower-cost alternative to higher-priced products, but you get what you pay for.

Increase number of meetings booked

Increase number of prospects to call on

Increase Pipeline

Reduce Marketing spend

Improve relevance in messaging.

We have been able to shorten time of prospecting.

Not guaranteed, but helpful for getting quick answers.

Lukewarm leads.

Reduction of duplicates - lower costs.

Improved sales management (no more 'whose lead is it' discussions), improved forecasting and reporting.

Reduction of loss of prospects due to multiple sales people reaching out to the same one at the same time or with different information (ie. I'm in a closing status on one record, and then I get a prospecting call as if I know nothing about the company or the product from another sales rep).

Opportunities created - we saw a notable uptick in opportunities created from LDRs.

Deals Closed - we also saw great improvement in deals closed.

Same number of leads sourced - the increases in opportunities created and deals closed were all on almost exactly the same number of MSLs compared to when we didn't use predictive. The gain in efficiency in lead management has been significant.

Significantly reduced (by 90%+) the new lead alerts we used to share around the company: now we only share the top targets.

Too early to tell on sales cycle (very long sales cycle), but optimistic on cutting down the time.

EverString allowed us raise SD quotas by 25% (based on # of accounts per month) while introducing minimum purchase requirements for SD compensation without any disruption to the team.

When we first deployed Everstring, we saw that 55% of our prospecting activity was against C and D rated leads, which have a very low conversion rate and very little revenue. We determined that we could increase company revenue by 16% and more than double the opportunity pipeline if we simply switched the prospecting time on C- and D-rated leads to A's and B's and maintained the same conversion and close rates.

We still have some fear that we may miss out on qualified leads that improperly score low, however, we have overcome our concerns by agreeing that any inbound leads will be routed to sales teams even if the scores are below the MQL threshold.