Customer Company Size
SME
Region
- America
Country
- United States
Product
- Gong
Tech Stack
- CRM
- Deal Intelligence
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Customer Satisfaction
Technology Category
- Functional Applications - Enterprise Resource Planning Systems (ERP)
Applicable Functions
- Sales & Marketing
Use Cases
- Predictive Quality Analytics
Services
- Data Science Services
About The Customer
Drip is the first ECRM–an ecommerce CRM designed for building personal and profitable relationships with customers at scale. The company is headquartered in Minneapolis, MN and was founded in 2012. Drip has a company size of around 100 employees and operates in the Ecommerce Technology industry. The company was facing challenges in improving forecast accuracy and understanding which deals were healthy and which ones were at risk of stalling.
The Challenge
Before implementing Gong, Drip was struggling with forecast accuracy and understanding the health of their deals. They relied on anecdotes and opinions from its sales team to try to piece together what was truly happening in a deal. This led to spotty CRM data and overall forecast accuracy was a shot in the dark. It was not uncommon for the sales team to be blindsided by slipped or lost deals. They needed a solution that could provide a holistic view of what’s going on in their deals, allowing them to separate opinions from reality.
The Solution
Drip implemented Gong, a Deal Intelligence solution that provides a holistic view of what’s going on in their deals. Gong allows Drip to 'see the moves' as they are happening, guiding the narrative over the life of the deal. This includes not just sales calls, but also emails. Gong lets Drip drill down to a specific deal to see all interactions with every individual in that account - across calls, web conferences, and email - in one place. Gong also enables Drip to replicate the strategies of their top closers, allowing new reps to learn from the best. Gong fits nicely into the Drip corporate culture of transparency, making all sales conversations available to everyone on the team.
Operational Impact
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.

Case Study
IoT Data Analytics Case Study - Packaging Films Manufacturer
The company manufactures packaging films on made to order or configure to order basis. Every order has a different set of requirements from the product characteristics perspective and hence requires machine’s settings to be adjusted accordingly. If the film quality does not meet the required standards, the degraded quality impacts customer delivery causes customer dissatisfaction and results in lower margins. The biggest challenge was to identify the real root cause and devise a remedy for that.

Case Study
Prevent Process Inefficiencies with Automated Root Cause Analysis
Manufacturers mostly rely on on-site expert knowledge for root cause analysis. When the defective product is sent to lab for analysis, it is laborious and always a post-mortem one. Manufacturers that collect data from IT and OT also need a comprehensive understanding of a variety of professionals to make sense of it. This is not only time consuming, but also inefficiencient.

Case Study
Digitization of Pharmaceutical Packaging Machines: A Case Study of CVC Technologies
CVC Technologies, a leading manufacturer of pharmaceutical packaging machines, was seeking an end-to-end IoT solution to fully digitize their pharmaceutical liquid filling and capping machines. The company aimed to enhance the safety of their equipment, introduce digital maintenance capabilities, and gain visibility into machine status from anywhere at any time. The challenge was to find a solution that could provide real-time visibility into the machine's status, deliver direct cloud connectivity and digital services, and simplify all aspects of the machine's lifecycle, from engineering to maintenance.

Case Study
CleanTelligent Enhances Janitorial Software Solutions with Infor Birst
CleanTelligent Software, a company that aids in-house and contracted janitorial teams in streamlining communication and improving quality control, faced a significant challenge. Their clients were demanding a more dynamic way to present reporting data. The company's software was primarily used to analyze and summarize a custodial team's performance, replacing a highly manual, paper-driven process. However, the initial differences between service providers in the janitorial industry are often unclear, and the cost of switching is comparatively low. This situation led to high client turnover, with a janitorial company's customer lifetime averaging four years or less. CleanTelligent needed to improve the customer experience with dynamic dashboards and reporting, retain customers through predictive analysis, capitalize on advanced analytics capabilities to build market differentiation, and improve client retention rates.

Case Study
Digitalising QC records
Ready-mix concrete batching plant with seasonal demand 6,000 to 12,000 cu.metre per month.Batch-cycle records for each truck is stored in paper format. 1000 to 2000 truck loads per month, generating ~2000 to 6000 paper records.QC anomaly detection in chemical batch-mixing is manual & time consuming.

Case Study
Automotive manufacturer increases productivity for cylinder-head production by 2
Daimler AG was looking for a way to maximize the number of flawlessly produced cylinder-heads at its Stuttgart factory by making targeted process adjustments. The company also wanted to increase productivity and shorten the ramp-up phase of its complex manufacturing process.