ZoomInfo Operations

Formerly OperationsOS / RingLead

We are currently using Everstring for several use cases within our organization. Our primary use was to fuel account intelligence for our enterprise account-based marketing function. We've created several models using Everstring to help increase our understanding of our enterprise account landscape. In conjunction with the rich intent information that we are gleaning with the help of Everstring's Bombora integration, we are able to have a 360-degree view of our prospective customers' accounts.

We have also enabled our commercial account team with their own custom account model, that together with intent data available within the EAP, each individual representative can find best fit accounts that are currently in the market outside of our CRM to focus their prospecting efforts.

EverString helps us our company identify other companies that are high quality potential fits based on its historical analysis on our client base. Then, we take those high-fit companies and distribute them to our SDR team. Additionally, we run targeted display campaigns using Terminus, first filtering high quality companies using the Everstring Overall Fit Score. For example, we might take anyone in our own database from a company who clicked a Terminus ad or who was using G2 Crowd and we showed up in search results, put that list of companies through Everstring filtration and target only companies that have a fit score of 100. Other times, we use the tool to identify companies that are using specific technologies, perhaps competitors, so we can target those companies with sales and marketing campaigns.

We use EverString both to surface net-new accounts for our sales team as well as to enrich existing records in our database with additional firmographic information. Our Sales and Marketing teams benefit the most from EverString, but all employees with a Salesforce account have access to EverString's data. We work in a relatively esoteric industry, where good business data is hard to find; EverString helps us to solve this problem and enables us to focus our efforts on the best prospects.

We use Everstring to provide fit scoring for accounts and to find companies that would be a good target for our products based on modeling of where we have won etc.

EverString is currently used by sales ops/marketing to identify target companies based on an ICP created from our past wins. We export that company data directly from EverString to Salesforce.

DocAuto is introducing a new product in the Microsoft SharePoint world. The market opportunity is so huge and dynamic that we needed an efficient way to help our marketing and sales teams focus on the best-fit target accounts. EverString is a key part of our ABX strategy.

We use Everstring to source sales and marketing opportunities across a broad spectrum of targets and product sets. We are also collaborating with Everstring to build AI assisted underwriting engines that will grow and sustain our business leveraging technologies we could not scale internally.

We use Everstring in a few ways. We first use it to score accounts in our system to predict whether or not they would be a good fit for our product. Their model is pretty accurate and helps us determine which accounts to focus on. We also use Everstring to add new accounts to our database. We haven't had the best luck here, a lot of the accounts we have gotten from them haven't been the best fits, but they've been helping us work through this and I think we'll be getting better accounts soon!

We are using EverString across our organization - for both of our product lines. We are using EverString to find look alike companies to our current customers and user base.

We made the decision to purchase EverString after allowing our contract with ZoomInfo to lapse and needing a solution to help find which companies to target. I like their algorithmic approach to reading "signals" on the sites of companies similar to our current customer base and their addition of contact data was able to mostly meet our contact info needs. On top of that, their customer support is excellent and my sales guy continues to be extremely helpful and responsive more than 6 months after the sale.

Everstring's solutions are helping us with lead prioritization, lead management automation, and personalization in the marketing department. It centralizes the lead management process to help accelerate leads through the funnel and convert prospects into customers.

With good marketing programs and lead acquisition teams, the problem becomes sorting through tens of thousands of records and focusing on the best leads. "Best" is a very subjective term and can be hard to define. Everstring helps us adhere to a scientific definition of a "good lead" and operationalize the process so that lead development representatives can use their time and focus wisely.

We use Everstring across our organization, primarily with the functionality of rating the potential fit of new leads that enter into our system. It helps us to prioritize the leads that are more likely to buy and present only those leads to our sales team.

We use a 70+ score as our shared metric for MQLs across Marketing, Sales, Analytics, etc, for reporting across all funnels. In addition, all new account sign ups through our e-commerce site are scored and we use SalesForce to automatically create leads for our SD Inbound team to call using the same 70+ cutoff.

We use Everstring to help us prioritize which prospect accounts we're most likely to close business with. Everstring combines our own internal sales data coupled with external buying signals to help develop a model so we can direct marketing programs and sales efforts toward the right target firms. We make the Everstring score and rating data available through our CRM to help guide our sales teams on how to invest their time, and we've even used it to help determine whether we should sponsor a particular event based on the attendees.