Conversica
概述
总部
美国
|
成立年份
2007
|
公司类型
私营公司
|
收入
$10-100m
|
员工人数
201 - 1,000
|
网站
|
推特句柄
|
公司介绍
Conversica is the leading provider of Conversational AI for revenue teams. With billions of human interactions spanning more than a decade, Conversica’s RDAs have learned to influence and persuade customers and prospects throughout the customer journey lifecycle. Unlike Chatbots, Conversica RDAs are Powerfully Human and can hold meaningful conversations at every touchpoint to create brand loyalty and maximize every revenue opportunity.
Supplier missing?
Start adding your own!
Register with your work email and create a new supplier profile for your business.
实例探究.
Case Study
Optimizing Lead Conversion with IoT: A Case Study on Epson America
Epson America, a company known for its consumer and commercial products, was facing a significant challenge in optimizing the conversion of its leads. The company's commercial products group, through campaigns such as “Where There’s Business, There’s Epson,” was generating between 40,000 to 60,000 leads each year. However, the responsibility of optimizing the conversion of these leads fell on Chris Nickel, Sr. Commercial Marketing Manager for Epson America’s five commercial groups. The challenge was that there was no solid process in place for managing these leads, and the situation was further complicated as the company extended its product lines. The effectiveness of lead management was also hindered by a lack of visibility into lead follow-up, making it difficult to track and optimize conversion rates.
Case Study
ScaleArc's Innovative Use of IoT for Database Load Balancing
ScaleArc, a recent startup, was faced with the daunting task of not only building a new brand but also pioneering a new software category - database load balancing software. The challenge was twofold. Firstly, they had to establish their brand in the highly competitive tech market. Secondly, they had to educate potential customers about this emerging software category. Given the crowded nature of the tech market, prospects required multiple interactions before they could be moved through the sales cycle. This posed a significant challenge for ScaleArc as they needed to accelerate a wide base of prospects while also educating them about their innovative software.
Case Study
Revitalizing Lead Conversion with AI: A Case Study on Leica Geosystems
Leica Geosystems, a leading provider of geospatial solutions, was facing a significant challenge in their lead conversion process. In 2020, they noticed that their net new leads were not converting to Marketing Qualified Leads (MQLs) at the expected rates. Despite not having concrete proof that their Pardot lead scoring methodology was flawed, the data suggested that a new approach was needed to nurture and warm up leads. The company also had a large group of untouched, aging, and dormant leads that needed to be re-engaged. The challenge was to keep new leads moving through the pipeline and reconnect with the untouched group of aging, dormant leads.
Case Study
Optimizing Lead Generation and Engagement with AI in Automotive Industry
OEConnection (OEC), a provider of high-quality technology solutions to automakers and their franchised dealers, was facing a significant challenge in their lead generation process. Despite investing considerable time and resources into generating leads, the results were marginal at best. The company needed to focus more on qualified leads to maximize opportunities, but without increasing their headcount. This posed a significant challenge as it required a more efficient and effective approach to lead generation and engagement, without escalating costs or requiring additional personnel.
Case Study
KnowledgeVision Enhances Lead Conversion with Conversica's AI Solution
KnowledgeVision, a company that is reinventing online business presentations, was facing a significant challenge in managing its inbound leads. Despite successfully generating a large number of leads, the company lacked the resources to effectively engage with them all. This resulted in a situation where Business Development Representatives (BDRs) had to selectively choose who to contact, leaving many potential customers unattended. This was a major concern for the company as each lead represented a potential sale and had cost money to acquire. The company had a database of 75,000 records in Marketo, indicating a strong ability to capture prospects, but a weak conversion rate to sales. The challenge was to find a way to engage with every single lead to determine their interest and potential for conversion.
Case Study
Optimizing Lead Funnel and Conversions with AI: A CloudCheckr Case Study
CloudCheckr, a cloud management platform serving a wide range of customers, was facing challenges with their lead funnel. They had leads that were 'stuck' in the top or middle of the funnel, and their email campaign strategy was underperforming. The Sales and Marketing teams were keen on finding new ways to optimize their lead funnel and discover more opportunities within it. Despite their efforts to motivate these stuck leads through email marketing and nurture campaigns, they were not achieving the desired results. They were also wary of burdening their Sales Development team with the task of chasing potentially cold leads.
Case Study
Allen Samuels Chevrolet Buick GMC Enhances Customer Satisfaction Through AI-Based Automotive Service Assistant from Conversica
Allen Samuels Chevrolet Buick GMC, a full-service dealership located in Hearne, Texas, prides itself on creating lifelong relationships with its customers. However, when the company acquired Derek Scott Auto Park and inherited its customer base in 2016, they faced a significant challenge. With the increase in sales and service volume at the new store, it became increasingly difficult to keep up with customer communications. The company found it hard to ensure that each customer received the attention they deserved. The traditional methods of communication such as phone calls, emails, and letters were not sufficient to manage the increased customer base. The challenge was to manage continuous follow-up with customers for service appointments and ensure customer satisfaction.
Case Study
Assure Funding Leverages AI to Boost Loan Applications and Renewals
Assure Funding, a company that works with lending partners to provide loans and capital advances to businesses, faced the challenge of cost-effectively qualifying prospects for funding, reengaging previously interested leads, pursuing leads purchased from third parties, upselling other services, and renewing existing customers. The company's model meant that more was riding on the process of qualifying, pursuing, and closing the deal with prospective clients. The company had been meeting its funding goals by employing inside sales staff to fill three key sales positions: an opener, a chaser, and a closer. However, the chaser’s role was the most time-consuming, often requiring multiple contacts with clients to gather necessary information. This manual process was adding significantly to the company’s overall cost per sale.
Case Study
Artificial Intelligence Boosts Top Hat's Sales Engagement and ROI
Top Hat, a cloud-based teaching platform, was facing a significant challenge in managing and responding to the large backlog of inbound leads in their database. The company was receiving thousands of leads every month from multiple channels, and it was the responsibility of the sales reps to manage these leads as they came in. However, due to the high volume of leads and the limited number of sales reps, it was not always possible to promptly follow up on these leads. Furthermore, the marketing team, which was small in size, found it nearly impossible to track the progress of each sales rep's inbound leads. The leads were assigned to a sales rep based on the location of the school at which they taught, but sometimes the rep was unable to follow up right away due to being on campus, meeting professors, or on vacation. This resulted in the leads sitting idle and the list of inbound leads growing continuously.
Case Study
AI-Powered Sales Assistants Boost Lead Conversion for High Growth Companies
Generating leads is a significant investment for companies, both in terms of time and money. However, many companies struggle with effectively and efficiently following up with and converting these leads into qualified opportunities for their sales teams. This was the challenge faced by CenturyLink, the third-largest telecommunications company in the U.S. The company was looking for a way to convert more warm leads, which were coming in from a variety of inbound and outbound channels, into prospects.
Case Study
Hootsuite Enhances Lead Management and Conversion with Conversica AI Assistants
Hootsuite, a leading social media management and analytics platform, was grappling with an excessive volume of leads. The popularity of their platform resulted in a high influx of leads, which posed a challenge for the team to effectively follow up. This led to missed opportunities, wasted time on unqualified leads, and frustration among team members. The company was also undergoing significant changes in Marketing and Sales, with a new Commercial Sales team handling inbound leads. Despite launching a lead scoring model, the conversion of leads was not at an optimal level. The team identified that the most converting leads were coming from their website and were labeled ‘demo request’. However, they needed to go beyond website-generated leads and demo requests to accelerate sales-ready leads from other sources such as webinars, email database, and self-service plan setups. The challenge was to find a scalable way to discover opportunities within these lead sources.
Case Study
The Faulkner Organization Boosts Showroom Traffic by 50% with Conversica® AI Solution
The Faulkner Organization, one of Pennsylvania's largest multi-franchise automobile dealerships, was struggling to manage the high volume of internet leads it received each month. The company's Internet Sales department was receiving nearly 6,500 leads per month from various sources, including third-party lead aggregators and Faulkner’s own multi-brand website. However, the department's appointment setters could only effectively handle a maximum of 150 leads each day, leading to potential sales opportunities being missed. Consequently, the company's engagement rate consistently hovered around 25 percent. The challenge was to increase lead engagement rates and ensure no potential sales opportunities were lost.
Case Study
SecureAuth Implements Conversica® to Boost Marketing’s Contribution to Revenue
SecureAuth, a leader in adaptive access control solutions, was facing a challenge in identifying new prospects with a propensity to buy and re-engaging qualified-but-stale leads. The company had a robust lead generation program in place, which included multiple channels such as third-party webinars, content syndication, sponsorships, PPC, company-hosted webinars, and lead generation through the company’s website. However, the increased flow of leads required a consistent and continuous qualification and engagement process. The company was struggling with identifying qualified, ready-to-purchase prospects and ensuring consistent follow-up. The sales reps were spending too much time on cold prospects and not enough time on hot leads due to the lack of clarity on which leads were more likely to convert. Furthermore, the company found that it was not making enough outreach to engage leads or understand where prospects were in the sales funnel.
Case Study
INXPO’s Event Cloud®: Leveraging AI for Enhanced Lead Qualification and Engagement
INXPO’s Event Cloud® is a platform that enables organizations to use video to engage their stakeholders through online events. The company was experiencing steady growth in the number of leads generated by its marketing team. However, they faced a challenge in qualifying these leads before passing them on to sales executives for follow-up. The sales team was overwhelmed and didn't have enough time to dedicate to all the nurturing required. They needed a tool that would help them be more efficient and effective, and something that could scale with the growing business. The goal was to ensure that no lead gets left behind.
Case Study
IBM's Digital Engagement Transformation with Conversica's AI Automated Sales Assistant
IBM, a 105-year-old company, has been traditionally focused on in-person selling of technology services and products. However, with the rise of digital channels, the company faced the challenge of integrating digital marketing into its established sales-centric model. This was particularly difficult due to IBM's long-established infrastructure, which was dated and burdened with custom enhancements. The company needed to transition to a more modern, global management platform while avoiding custom enhancements. Additionally, IBM needed to change the mindset of its marketers to view the customer’s journey as something much broader and more flexible. Another major challenge was the low rate of phone-ready leads being brought in through digital channels.
Case Study
AI-Driven Sales Boost for Extreme Networks
Extreme Networks, a leading provider of software-driven networking solutions, faced a significant challenge in fully leveraging their marketing investments. Despite generating a large number of sales leads through tradeshows, webinars, and other events, the company struggled to systematically follow up with each lead. This was due to the sheer volume of leads and the lack of resources to engage with each one individually. The inability to effectively follow up on these leads meant that potential sales opportunities were being missed, and the return on marketing investments was not as high as it could be. The challenge was to find a way to engage with every single lead, nurture their interest, and convert them into sales opportunities.
Case Study
AI-Driven Sales Boost at Boch Automotive Dealerships
Boch Automotive Dealerships, a prominent automotive dealer in New England, was grappling with the challenge of striking the right balance in their follow-up process. They aimed to convert quality leads into satisfied customers without overwhelming them with excessive follow-ups. As the company grew, this challenge became increasingly complex. They needed to ensure that their responses were prompt, thorough, and human-like, while also assessing the quality of incoming leads. Another significant issue was the ineffective email deliverability. Despite investing considerable time in crafting impressive emails, they were not reaching the customers as they were being filtered into spam.
Case Study
Superstar AI Assistant ‘Heidi’ Boosts Revenue by Over $2 Million in 2015
Matt Ford, a family-owned dealership in Independence, MO, faced the challenge of improving communication with potential clients about the dealership while maintaining their award-winning customer service reputation. The dealership, run by brothers Ryan and Todd Matt, prides itself on its customer service, having received the Ford Lincoln Mercury’s President’s Award for outstanding customer service 19 times. Despite being a small-town dealership, Matt Ford handles a large clientele, with a team of six salespeople tasked with maintaining communication with 60 leads per month and closing on 1,200 sales per year. The challenge was to maintain this high level of service and communication with potential clients, without compromising on their quality of service.
Case Study
KEMP Technologies Boosts Lead Engagement and Sales Opportunities with Conversica® AI Assistant
KEMP Technologies, a leader in advanced Layer 2 – 7 Application Delivery Controllers (ADC) and application-centric load balancing, faced a significant challenge in managing its growing number of sales leads. As the company's success in the market grew, so did the complexity and time-consuming nature of lead management. The company found it increasingly difficult to engage and nurture web visitors to determine their interest and intent, optimize lead qualification via marketing automation, and increase ROI on lead acquisition. The challenge was further complicated by KEMP's global presence, which introduced geographic and seasonal hurdles. It became impractical to hire enough sales reps to cover raw leads in all regions over all peak periods. The company needed a solution to automate nurturing and engagement with web leads beyond simple one-to-one email.
Case Study
Improving Lead Quality and Engagement Rates in Insurance Industry: A Case Study of QuoteWizard and Conversica
QuoteWizard, one of the largest independent, privately-held insurance lead providers in the United States, was faced with the challenge of increasing the quality of leads and engagement rates for its clients. The company generates high-quality insurance leads for thousands of U.S.-based agents working for leading insurance carriers. However, in the fall of 2013, QuoteWizard’s management began to explore new approaches to improving the quality of lead sources and in turn enabling their insurance agent clients to increase engagement rates. The company launched a pilot of Conversica’s sales conversion management solution to assist with an internal campaign to re-engage former clients to purchase again from QuoteWizard. Management also tested Conversica on the leads that QuoteWizard was procuring and selling to agents.
Case Study
Boosting Revenue and Productivity in Off-Season with IoT: A Case Study of a Single-Family Home Rental Company
The customer, a large provider of single-family home rentals in multiple U.S. markets, was facing a challenge to increase incremental revenue and productivity during the off-season. The company manages and owns tens of thousands of properties and has a national team of 27 inside sales agents who manage between 10,000 and 20,000 leads per month. These leads are generated by traffic to the company’s website, Trulia, and other online real estate listing sites. Despite using Marketo’s marketing automation suite for driving inbound leads and scoring them, along with Salesforce for tracking and managing sales activity, the sales teams lacked sufficient information to engage, qualify, and convert the leads. The company had set two key corporate goals: to reduce customer acquisition costs and create 6,000 rental opportunities by the second quarter of the year.
Case Study
Artificial Intelligence Delivers 10X ROI in Sales Pipeline for ScaleArc
ScaleArc, an enterprise software provider, was facing a dual challenge of building brand recognition while pioneering a new software category, database load balancing software. The company was leveraging a comprehensive range of outbound marketing programs, including events, PR, content syndication, and e-mail nurture and partner campaigns. These programs generated a large number of contacts and inbound leads every month. However, these marketing-generated leads typically required multiple “touches” to drive further awareness of ScaleArc and to become better educated on the context of and need for the company’s solution. Given the need to drive education and awareness to build the sales funnel, ScaleArc wanted to augment the outreach beyond what their Business Development Reps (BDRs) could personally provide.
Case Study
DocStar's Pipeline Growth with Conversica Sales AI Assistant
DocStar, a division of Epicor Software Management, specializes in document management and business processes management. They receive about 500 leads per month, mostly inbound leads generated through their website. To manage these leads, they score them based on demographic, firmographic and behavioral data before sending them to the Business Development team for follow-up. However, this method of lead prioritization and follow-up presented challenges. The Business Development Representatives (BDRs) had difficulty meeting their quota for the number of outreach attempts for each lead, especially when lead volume was high. Additionally, the timing of the outreach was often not optimal, being either too early or too late in the customer journey to be of value to the prospect.
Case Study
Driving Revenue Opportunities with Intelligent Virtual Assistants: A Case Study on IHS Markit
IHS Markit, a $5-billion information services firm, faced a significant challenge in managing the high volume of inquiries generated by its extensive marketing efforts and media exposure. The company, which operates in key markets such as financial services, automotive, and energy, struggled to identify and elevate leads fitting its ideal customer profiles or those ready for sales engagement. The challenge was not just the volume of inquiries but also the capacity of the sales team to follow up with potential leads. The company needed a solution that could help them manage this high lead volume without adding to the headcount, while also improving customer retention and expansion.
Case Study
Improving Lead Conversion with AI: A Case Study on The Los Angeles Film School
The Los Angeles Film School, a renowned institution known for its personalized student relationships, faced a significant challenge in its marketing department. The school's marketing team was tasked with following up with potential students who had shown interest in the institution. However, the team was falling short of its established goal of making seven touches per lead, with an average of only 1.6 touches being made. This shortfall was identified by Ben Chaib, the VP of Admissions and Marketing, who noted that the lack of sufficient follow-ups was hindering the school's ability to convert leads into actual students. The challenge was to find a way to increase the number of touches per lead, thereby improving the lead conversion rate and ensuring more consistent conversions.
Case Study
Sunset World Enhances Customer Engagement with IoT
Sunset World, a company with six resorts and travel services brands in Cancun and the Riviera Maya, was facing a significant challenge in managing its high volume of leads. The company's promotional campaigns could generate up to a million leads a week from various promotions and sweepstakes used to market to prospective guests from Canada to South America. The sales and marketing team was struggling to handle this volume of leads effectively. The company's CIO, Edgar Osorios, recognized the need for a more personalized way to engage prospects beyond generic emails and telemarketing scripts. The challenge was to find a solution that could handle the high volume of leads and provide a more personalized experience for potential guests.
Case Study
Corelight Enhances Lead Management and Boosts ROI with Conversational Marketing
Corelight, a mid-market technology company specializing in network detection and response solutions for cybersecurity, was facing a common business challenge - too many leads and not enough resources to manage them effectively. This problem was particularly evident in the aftermath of events and tradeshows, where the company struggled to follow up with all attendees, registrants, and booth scans. The team needed a more efficient way to engage these leads, educate them about their solutions, and explain their importance to enterprise security. The challenge was not just about managing the volume of leads but also about providing valuable and relevant information to nurture these leads.
Case Study
LA Galaxy Leverages Conversational AI to Enhance Fan Engagement and Sales During Pandemic
LA Galaxy, one of the most popular American soccer teams, faced significant challenges during the pandemic. The team's Sales and Marketing teams were spending too much time chasing leads and fans, and their phone outreach was inefficient. The team's primary focus was to convert people in the Los Angeles area into season ticket holders, a task made difficult by the competitive nature of the Sports and Entertainment industry and the presence of rival teams. The team was also struggling with incomplete contact information for potential leads, with basic details like phone numbers often missing. This lack of information made it difficult for Account Executives to effectively reach out to prospects at scale. The onset of the pandemic further complicated matters, as the industry's reliance on people gathering together was severely impacted.
Case Study
OEConnection Enhances Customer Engagement and Retention with Conversica AI Assistant
OEConnection, a provider of data, software, and services to the automotive industry, was facing challenges in scaling its Customer Success team and enhancing customer engagement. The company had over 20 Customer Representatives in North America, each managing between 500 and 1,000 dealers. The primary methods of customer engagement were emails and phone calls, which proved to be time-consuming and often ignored by customers. The company categorized its customers into three groups based on usage, and the outreach strategy for each group was different. However, this manual outreach was not only labor-intensive but also resulted in low engagement, especially from customers who needed the most attention.
Case Study
DocStar Boosts Pipeline Growth with Conversational AI for Marketing and Sales
DocStar Enterprise Content Management (ECM), a division of Epicor Software Management, was facing challenges with managing their lead volume. They were receiving about 500 leads per month, mostly inbound leads generated through their website. To manage these leads, they scored them based on demographic, firmographic and behavioral data before sending them to the Business Development team for follow-up. However, the Business Development Representatives (BDRs) had trouble meeting their quota for the number of outreach attempts for each lead, especially when lead volume was high. Additionally, the timing of the outreach was often not optimal, being either too early or too late in the customer journey to be of any value to the prospect. DocStar was acquired by Epicor in January 2017, but for a while the two organizations had separate Salesforce instances. When Epicor adopted Conversica’s Conversational AI in October 2018, they saw a significant boost in their lead engagement rate via email.
Case Study
Flexential's AI-Powered Lead Engagement: A Case Study
Flexential was facing a significant challenge in effectively and efficiently following up with leads. The company was primarily using drip campaigns, which only pushed information to inbound leads. However, this method was not providing any data to indicate any other follow-up. The company needed a solution that was not only effective but also scalable, given the large number of leads and the company's growth trajectory. The lack of a robust follow-up system was potentially leading to missed opportunities and inefficiencies in the company's marketing efforts.
Case Study
Revolutionizing Lead Management with IoT: A Case Study on OptionsANIMAL
OptionsANIMAL, a leading financial education company, was facing several challenges in managing their leads. The sales team was overwhelmed with the number of leads coming from webinars and other sources, leading to many high-quality leads falling through the cracks due to resource gaps and time constraints. The sales team was also missing opportunities with prospects who were eager to buy, leading to a decline in the opportunity conversion rate. Furthermore, the process of managing the pipeline was a manual and time-consuming task, with no consistent email follow-up cadence. This lack of a systematic approach was causing high-quality Sales Qualified Leads (SQLs) to stall at the bottom of the sales funnel.
Case Study
Talend's Successful Implementation of Conversica® to Drive Revenue and Pipeline Opportunities
Talend, a leader in cloud and big data integration software, faced the challenge of effectively engaging lower-quality leads to drive customer wins. The company's core business is centered around data, and they wanted to ensure that their marketing technology stack was as rigorous as their core offering. Adam Benitez, Marketing Operations Manager at Talend, was looking for new technologies that could help his team maximize lead generation and conversion. Initially, there was skepticism about Conversica, a new technology, and how it would fit into the company's overall strategy and framework. There were concerns about it being similar to Marketo, their existing marketing automation platform, and whether the investment would be a waste of time and money.
Case Study
AI-Driven Lead Management Boosts Sales for Star2Star Communications
Star2Star Communications, a leader in unified communications, faced a significant challenge in identifying opportunities from their inbound leads. The company used a channel sales model, relying heavily on partners and resellers. Their primary method for generating leads was capturing information from businesses visiting their website. However, reaching the right partners and convincing them to market Star2Star’s offerings was a challenge. The company also marketed through onsite events and cold calling, but this approach was inefficient and failed to provide measurable intelligence regarding which prospects were ready to join or who were at least intrigued versus leads that were not interested. The company recognized that their sales operational model needed to be modified and enhanced to reduce the amount of time it took to get to an answer, be it a positive or negative response.
Case Study
AI-Driven Lead Management: A Coolfront Case Study
Coolfront, an innovative mobile application for HVAC, plumbing, and electrical contractors, was facing a significant challenge in managing an overwhelming number of inbound leads. Despite their successful marketing efforts, the small sales team was unable to keep up with the volume of leads, resulting in many potential opportunities falling through the cracks. The sales team was overburdened and unable to effectively follow up with all the leads, leading to a backlog. The challenge was to find a way to sort through the leads, identify the most promising ones, and ensure timely follow-up without overstretching the already strained sales and marketing team.
Case Study
Revolutionizing Car Sales with AI: A Case Study on Stivers Ford Lincoln
Stivers Ford Lincoln, a family-owned dealership in Montgomery, Alabama, was facing a significant challenge in improving sales and lead qualification. The dealership was struggling to boost sales during a period when consumers were cutting back on big-ticket purchases like cars. With a small inventory compared to mega-dealers, Stivers needed to work smarter, pursue leads more efficiently, and deliver a customer experience that would convert one-time buyers into lifetime customers. However, with an increasing number of car shoppers requesting quotes online, the Business Development Center (BDC) at Stivers found it challenging to manually capture and nurture these leads until the prospect was ready to speak with a salesperson. The old model of simply adding more people to the BDC was not working, leading to many dead deals.
Case Study
AI-Driven Sales Assistant Revolutionizes Customer Engagement for CAKE
CAKE, a Sysco company, was faced with the challenge of reaching out to over 425,000 Sysco customers using a 'cold emailing' approach. This task was equivalent to the work of 10 sales development representatives. The challenge was further compounded when CAKE was acquired by Sysco, a $48 billion food services leader. The acquisition necessitated a shift in CAKE's sales strategy from an outside sales approach to a purely inside sales model. This meant that CAKE had to introduce its high-tech offerings to restaurant operators virtually, while emphasizing its relationship with Sysco. The company also had to nurture relationships with potential customers and secure the best time for a CAKE sales representative to contact the customer.
Case Study
AI-Driven Lead Management Boosts Membership for Snohomish YMCA
Snohomish YMCA, a part of the larger Y franchise, was facing a significant challenge in re-engaging former and inactive members. In the fitness industry, clubs typically lose 50% of their memberships annually. For Snohomish YMCA, this translated to a loss of 10,000 members per year. Additionally, the club had over 12,000 untouched leads from various programs such as camp, child care, personal training, youth sports, and other a la carte programs. The club's small staff of two was unable to effectively follow up on these leads, resulting in a large pool of potential members that remained untapped.
Case Study
ESET Boosts Sales Efficiency with AI Sales Assistant
ESET, a global IT security software and services company, faced a unique challenge in its sales structure. Unlike many businesses, ESET did not have a dedicated sales development team (SDRs). Instead, leads were qualified by marketing programs before being passed on to the sales team. This setup resulted in prospective leads remaining stagnant in the sales funnel, leading to a lower volume of sales qualified leads. The lack of a dedicated team to engage and qualify leads meant that potential opportunities were being missed, and the sales team was not able to focus on interested buyers.
Case Study
Beck & Masten Buick GMC Enhances Customer Engagement with Conversica's AI Solution
Beck & Masten Buick GMC, a family-owned dealership, was facing the challenge of increasing their outreach volume and engagement. Despite being one of the top Buick GMC dealerships in the nation, they were struggling to effectively engage with their leads and customers. The dealership had a large team of 27 salespeople for new vehicles and 13 for pre-owned vehicles, but they were spending a significant amount of time on tedious outreach activities. This was particularly challenging in the service side of the business, where the team was resorting to cold calling and emails to get customers to come in for service, resulting in a low engagement rate and a frustrated team.
Case Study
Sutter Shared Services Enhances Lead Outreach with Conversica AI Assistant
Sutter Shared Services (S3) provides health management and administrative services to physician groups and health systems across the nation. Their target audience includes large-scale healthcare providers who want to build their own contact center and those who are looking to enhance the patient experience by delivering after-hours answering services and clinic access. However, with a steady volume of leads from trade shows, webinars, and interest outreach, it was nearly impossible for the S3 Business Development team to engage with every lead. The team initially experimented with traditional Sales models of hiring Business Development reps to handle incoming leads, but budgetary realities prevented the team from growing at a rate necessary to meet demand.
Case Study
Reviving Dead Leads: Zend Technologies' Success with Conversica's AI Sales Assistant
Zend Technologies, a leading provider of enterprise-grade PHP solutions, was facing a significant challenge in managing and leveraging their incoming leads. The popularity of PHP, with around seven million developers, resulted in a strong flow of new leads. However, Zend found it impossible to follow up with these leads constructively. Their initial solution, a traditional multi-modal multi-touch arrangement, proved impractical to implement and manage. The sales representatives were not able to make the required number of calls and emails, leading to inadequate coverage. Additionally, the quality of the leads varied greatly, ranging from students and hobbyists to large enterprises. This made it difficult to distinguish between 'good' and 'bad' leads, especially when the information provided by the leads was not always accurate. Zend was in need of a solution that could effectively engage with all these leads without the need to hire additional sales development representatives.
Case Study
Mercedes-Benz of Plano Boosts Lead Engagement by 56% with Conversica's AI Solution
Mercedes-Benz of Plano, a family-owned dealership in the Dallas-Fort Worth metroplex, was struggling with a low email response rate of 23-24 percent, which was affecting their lead engagement. Despite having a large team of 40 sales associates, 18 service advisors, and 60 service technicians, the dealership found it challenging to maintain personalized, one-on-one communication with their growing client base. Their existing process involved the sales staff contacting new leads three times per day for five days, twice via phone and once via email. However, this approach was not yielding the desired results, with many potential clients reluctant to engage in phone conversations during their initial research phase. The dealership also discovered that the language used in their emails was triggering spam filters, further reducing their response rates.
Case Study
Boosting Lead Engagement and Revenue with AI: A Case Study on The Los Angeles Film School
The Los Angeles Film School, a private college offering career-focused programs in various fields, was facing a challenge in increasing inbound lead conversions. The school's marketing approach was predominantly via paid search and social, accounting for 85% of its leads, with the remainder filled by referrals or traditional media. The first attempts to reach out to a lead were made via phone call, with sales reps given seven attempts or seven days to make a touch before any automation was introduced. However, despite this approach being well received by prospective students, salespeople were only making an average of 1.6 touches per lead rather than seven. This resulted in an annual conversion rate of 2-3%, which the sales management believed could be improved. The school needed a way to have more persistent and consistent conversations with their prospective students.
Case Study
BombBomb Increases Lead Conversion by 43% in Less Than Six Months with Conversica®
BombBomb, a company that offers a subscription-based, easy-to-use, and low-cost video email platform, was facing a significant challenge in managing their leads. Their largest customer segment was in a highly seasonal industry, which resulted in a rollercoaster effect on their lead flow. Some months saw tremendous spikes in leads, while others saw deep valleys. This irregularity made it difficult to hire the right number of salespeople; hiring enough for the peaks would leave them idle during the valleys, wasting money, while hiring just for the valleys would result in missed leads during the peaks, wasting opportunities. The primary goal of their sales and marketing outreach was to elicit a firm 'yes' or a 'no' from prospects, but the reality of busy schedules and life interruptions often resulted in a 'maybe'.
Case Study
IoT-Driven Lead Conversion: A Case Study on Vern Fonk Insurance
Vern Fonk Insurance, an independent insurance brokerage based in Washington, USA, was facing the challenge of engaging and nurturing more Internet leads without the need to hire additional staff. The company had no after-hours sales group, which resulted in missed opportunities to capture and engage interested leads. Furthermore, the agency lacked a scalable process to convert aged leads and past customers who did not renew their policies. The company was also losing customers to competitors with online systems that facilitated overnight or after-hours purchases.
Case Study
Spring Venture Group Enhances Sales Efficiency with Conversica
Spring Venture Group, a leading independent insurance brokerage based in Kansas City, MO, was seeking ways to enhance the efficiency of its sales teams and reduce the cost per lead acquisition. The company generates leads from various sources such as direct mail, demand generation campaigns, its websites, and by bidding on leads for purchase from third-party vendors. The vice president of marketing’s primary challenge was to determine the number of leads marketing needed to drive to sales to meet their goals without increasing the cost per acquisition (CPA). The company was already using sales automation solutions like Salesforce, but there was a need for a more efficient solution to manage the sales conversion process.
Case Study
The Faulkner Organization Boosts Showroom Traffic by 50% with Conversica® AI Solution
The Faulkner Organization, one of Pennsylvania's largest multi-franchise automobile dealerships, was struggling to manage the high volume of internet leads it received each month. The company's Internet Sales department was receiving nearly 6,500 leads per month from various sources, including third-party lead aggregators and Faulkner’s own multi-brand website. However, the department's appointment setters could only effectively handle a maximum of 150 leads each day, leading to potential sales opportunities being missed. Consequently, the company's engagement rate consistently hovered around 25 percent. The challenge was to increase lead engagement rates and ensure no potential sales opportunities were overlooked.
Case Study
CenturyLink Boosts Lead Generation with Conversica's AI Solution: An 8-to-1 ROI Case Study
CenturyLink, a global communications and IT services company, was facing a challenge in increasing its outreach volume and improving lead flow. The company was particularly focused on 'warm leads', prospects who have shown interest and asked to be contacted. These leads could come from various sources such as the company's website, 1-800 numbers, outbound telemarketing, search engine marketing, and email campaigns. However, the company was struggling to effectively reach out to these leads, especially smaller prospects who did not have an assigned sales representative. The company also faced resistance from its sales representatives who were skeptical about the use of AI in managing their accounts.
Case Study
AI-Driven Sales Boost for Sesame Communications
Sesame Communications, a subsidiary of Internet Brands, was facing a significant challenge in managing their inbound leads. Despite deploying traditional marketing tactics like drip campaigns and lead scoring, the company was struggling with an overload of leads that were not being followed up on. The Director of Marketing, Todd Martini, noted that many of the high scores from lead scoring were not decision makers, but assistants who were watching a lot of webinars. Furthermore, when a Marketing Qualified Lead (MQL) was identified, these leads would go directly to territory managers, leaving a large list of untouched leads. The company was in need of a solution that could effectively manage and follow up on these untouched leads.
Case Study
Purple's Transformation: Streamlining Sales Process with Conversica's AI Solution
Purple, a digital platform for intelligent spaces, was facing a significant challenge in maintaining consistency in their lead follow-up process. With a large influx of leads and a goal of a 5-minute response time, the sales team was struggling to meet this target. The response time was largely dependent on the discipline and discretion of the sales rep, which was not a scalable solution. Purple needed to find a way to follow up with all its leads in a timely manner, without overburdening their sales team or compromising on the quality of their customer engagement.
Case Study
AI-Driven Lead Qualification Boosts Bookings for Sunset World Resorts
Sunset World, a leading vacation provider in Mexico, faced the challenge of qualifying up to 1 million leads a week, increasing bookings, re-engaging longtime members, and converting one-time resort guests into Sunset Club members. The company's promotional campaigns generated a massive volume of leads, which were difficult to manage and engage effectively. The traditional approach of sending generic emails from a marketing automation program was not proactive enough. Moreover, the delay in responding to these leads often resulted in potential customers forgetting their interest in Sunset World's services. The company needed a solution that could quickly and efficiently engage with customers, making them aware of the offerings and sparking their interest before they interacted with the sales or reservations agents.
Case Study
Epson America Enhances Lead Quality and Revenue with Conversica
Epson America, a global technology leader, was facing challenges in standardizing and optimizing lead outreach and communication. The company generates leads through various channels including its website, trade shows, direct mail, email marketing, social media, print advertising, online banner advertising, and a brand awareness campaign. These activities generate approximately 40,000 to 60,000 leads each year. However, the company was struggling with the issue of sales representatives showing disinterest in leads that did not align with their named accounts, as their remuneration was based on sales on named accounts, not on leads sent to them. This led to a need for a solution that could effectively engage and qualify leads, freeing up Sales Reps to close more business.