ZoomInfo Operations

Formerly OperationsOS / RingLead

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.

Responsiveness is outstanding. Expertise and willingness to customize and adjust to your specific needs are also notable. We actually made a request that had nothing to do with predictive analytics and Everstring created a solution for us.
Implementation was a breeze and we were set up within just a few days. Also, our customer success contact has spent a lot of time helping us solve problems and providing feedback for a wide range of business issues.

We are not formally account-based, but are incorporating more and more aspects of ABM. Funnel priotiziation is a clear win for ABM as mentioned earlier, but the real value is in predictive segmentation, which allows demand gen teams to source only the most relevant companies and contacts for highly targeted segments. Marketers can actually upload sample companies in a particular target segment, filter contact role, department, etc., criteria, and Everstring will deliver all other companies and contacts that fit that profile. Compared to traditional demand gen tactics, it's an inexpensive way to source highly targeted leads.

We are not doing it yet, but we are looking at the predictive segmentation tool, which is a powerful way to source highly targeted leads.

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.

Very knowledgable team, and very responsive. I have more regular check-ins with their team than just about any other vendor we work with, which is well received. With any new release we always have a call to review with a screencast so I can see the proper way to use it, then I am able to go off and experiment, then we'll have a follow up meeting whenever I am ready to review feedback and usability.

Has helped us primarily in the way we prioritize our sales funnel, in that we are filtering out the 'crap' leads that do not have a chance to convert to business with us. We are not yet using them for their lead generation capabilities on accounts similar to those we are targeting.

Prioritization of inbound leads for the sales cycle.

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.

Everyone I have worked with at EverString is great. Very strong technical and analytical organization. We did have to take a couple of stabs at the initial model, so plan on 2-3 weeks to get up and running. The model refresh was very smooth. Definitely the type of company you want supporting a mission-critical sales system.

EverString has been most effective in the SB segment, where SD reps look through the stream of inbound account sign ups through our e-commerce self-service flow and attempt to upsell them into packages. We have achieved great gains in efficiency by only directing accounts with a score of 70+ to the SD Team for review and outreach.

EverString is key to prioritizing inbound leads and account sign ups. We have not found the net new accounts & contacts to be as helpful as we hoped. The companies they recommend are definitely in our wheelhouse, but we have a very tight window of 2-3 weeks to replace an existing vendor and there are no good external signals that can automate for us the right time to call.

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.

Everstring's customer success and onboarding was extremely easy and we were supported throughout the process. They met with us to understand our initial goals and expectations from our predictive marketing implementation, helped us integrate with CRM and marketing automation systems, and helped us develop the selection criteria for the demand generation services.

Everstring has helped us gain a better understanding of who our ideal customers actually are. Before our implementation, we held the belief that we had a good understanding of our customers and knew who would be a likely customer based on that. However, we found that more than half of our prospecting was done against the lower-rated accounts, while most of our opportunities were A-rated prospects. By incorporating Everstring scoring into our account selection, we ensure that the limited sales prospecting time is spent on prospects most likely to convert.

-- We use Everstring in our lead scoring models, accelerating high-scoring, high-engaging leads to a sales rep for direct outreach while routing low-scoring/low-rated leads to nurturing (or even unqualified) pools.
-- The Everstring score helps us prioritize who we include in demand generation marketing campaigns
-- We use the Everstring score to evaluate events--comparing the pre-registration lists with our score for those leads.

We may have asked for two or three finalists to run a trial--even if we had to pay for it--to compare the models from different providers.