Download PDF
Drift Uses Gong’s “Goldmine of Data” to Increase Sales Productivity
Technology Category
- Analytics & Modeling - Real Time Analytics
Applicable Functions
- Sales & Marketing
Use Cases
- Predictive Quality Analytics
Services
- Data Science Services
The Challenge
Drift, a conversational marketing platform, was experiencing hypergrowth. With the expansion of its team, product, and customer base, the potential for redundancies and inefficiencies increased. The leadership team was spending countless hours on phone calls with sales reps and prospects, trying to understand what was and was not working. There was no consistency around pitches or coaching new reps. The lack of clarity was not limited to the Sales Team. Drift’s Product Marketing Manager, Daphne Funston, would hear different issues from the customer when they spoke with the CSM and the product team. The Drift team needed a solution quickly.
About The Customer
Drift is the first conversational marketing platform and is the new way businesses buy from businesses. While building an enduring company and a platform that emphasizes the value of human interactions and connection, Drift puts the customer at the center of everything it does. The company is headquartered in Boston, MA, and was founded in 2015. The company size is around 350, with a sales team size of 70. The company operates in the Marketing and Sales Technology industry.
The Solution
Drift originally purchased Gong to help make the Sales team more efficient. However, it was quickly discovered that other teams at Drift could also benefit from Gong. Gong is now used in marketing, product, and customer success. The cross-department collaboration — sharing calls and prospect/customer insights across teams is what has made Gong part of every Drift team member’s daily routine. Gong has nearly eliminated long, unproductive, how-accurately-a-rep-can-recall-the-conversation pipeline reviews. Gong allows sales managers to quickly and accurately assess the difference between what a rep has said they’ve done versus what’s actually happened, enabling them to quickly identify deal risks and strategize with their reps to keep deals moving forward.
Operational Impact
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
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.
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
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.