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10 实例探究
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Alation's Success with Qualified's Pipeline Cloud: A Case Study - Qualified Industrial IoT Case Study
Alation 借助 Qualified 的管道云实现管道和收入的显着增长
Alation 知道他们的网站是管道生成的关键渠道,因此希望为其访问者提供直观的用户体验和导航。他们还需要一种方法来准确识别合格的买家并将其路由到他们的专用帐户所有者以进行实时对话。 Alation 之前的解决方案缺乏广泛的引线路由功能,导致错过了潜在的管道。
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Matterport Accelerates Sales Cycles by 40% with Qualified - Qualified Industrial IoT Case Study
Matterport 如何通过合格的对话将交易速度加快 40%
Matterport 需要一种对话式解决方案,将网站访问者转变为销售团队的渠道。他们还需要一个能够通过复杂的分段和路由来支持其全球业务的解决方案。
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Metadata Achieves 927% ROI and Generates $3.5M Pipeline with Qualified in 150 Days - Qualified Industrial IoT Case Study
Metadata Achieves 927% ROI and Generates $3.5M Pipeline with Qualified in 150 Days
Metadata's website was their primary channel for pipeline generation, attracting around 35,000 monthly visitors. However, they faced challenges in providing an intuitive user experience and accurately identifying and routing qualified buyers to dedicated account owners for real-time conversations. Their previous solution, Drift, was unable to distinguish visitors or route them effectively to their assigned sales development representatives (SDRs). The chat experience was not optimal, as it asked the same qualifying questions to all visitors, regardless of their account tier. This led to a high drop-off rate of 70% and a low success rate in engaging visitors in actual conversations. Metadata needed a solution that could better identify valuable visitors and facilitate more effective sales conversations.
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Adecco's Success with Qualified: Generating $57.7M Pipeline and 46K% ROI - Qualified Industrial IoT Case Study
Adecco's Success with Qualified: Generating $57.7M Pipeline and 46K% ROI
Adecco faced challenges in effectively identifying and engaging with website visitors, which included both job seekers and employers. The lack of a conversational marketing and sales solution led to missed lead conversions and unrealized opportunities. The existing 'Contact Us' form was insufficient for understanding visitor needs, and the COVID-19 pandemic further complicated their sales model by necessitating a shift from traditional face-to-face interactions to digital engagement. Adecco needed a solution to maintain personal connections in a digital-first world.
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Veritone Achieves 340% ROI and Generates $3.5M Pipeline with Qualified in 12 Months - Qualified Industrial IoT Case Study
Veritone Achieves 340% ROI and Generates $3.5M Pipeline with Qualified in 12 Months
Veritone faced challenges with their extensive website, which contained a large amount of content, making it difficult for visitors to find the products and resources they needed. The Chief Marketing Officer, Scott Leatherman, recognized the need to improve visitor engagement and streamline the process of connecting visitors with relevant information. With 18 solutions across five different businesses, Veritone needed a way to break through the digital noise and guide visitors to pertinent content, ultimately increasing pipeline and engagement. The company evaluated different solutions and found that Qualified stood out due to its customer success team and ability to meet Veritone's needs for engaging prospects and moving them through the sales funnel.
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AlphaSense Uses the Power of Qualified to Generate Attributed Pipeline and Revenue and Achieve 4,109% ROI - Qualified Industrial IoT Case Study
AlphaSense Uses the Power of Qualified to Generate Attributed Pipeline and Revenue and Achieve 4,109% ROI
AlphaSense was experiencing significant web traffic through various marketing channels, but their website was not effectively converting this traffic into a demand generation machine for pipeline. Prospects who reached the website were not engaged at critical moments of high intent, leading to missed opportunities for sales development representatives (SDRs) to interact with prospects and drive pipeline. Mike Werch, Director of Marketing Operations at AlphaSense, had previously implemented other conversational solutions but was dissatisfied with their customer support, high costs, and lack of integration capabilities. He sought a new conversational solution partner that could seamlessly integrate with AlphaSense's existing tech stack, provide superior support, and deliver tangible results.
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How Gamma Generated £12 Million in Pipeline with Conversational Marketing - Qualified Industrial IoT Case Study
How Gamma Generated £12 Million in Pipeline with Conversational Marketing
For years, Gamma had been doing marketing and sales the traditional B2B way. Their marketing team invested time and money building up SEO and marketing campaigns which sent qualified traffic to their website. Interested buyers were expected to fill out a form, and upon doing so, the sales team began the chase via phone and email to lock in a meeting time. The process was painful for all parties. The marketing team had to sit on the sidelines and hope that their leads received proper attention, customers were forced down a glacially slow buying process, and sales reps had to put in a lot of work to schedule one meeting. Something needed to change. Gamma initially explored website chatbots to improve the process, but they soon realized they needed something bigger and better than just bots; bots help companies quickly collect information, but they still send customers into the traditional lead queue and follow up process. They needed a platform to identify their most important website visitors and engage them in real-time, personalized sales experiences.
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Poly's Strategic Use of Qualified to Boost Mid-Market Pipeline by 22% - Qualified Industrial IoT Case Study
Poly's Strategic Use of Qualified to Boost Mid-Market Pipeline by 22%
Poly, a leading telecommunications company, recognized the untapped potential in the mid-market sector. Despite having a significant volume of website traffic, they struggled to convert these visitors into a pipeline. The existing form-fill tool was inefficient, as it sent all submissions to a general sales queue without proper vetting, causing sales reps to waste time on unqualified leads. Poly needed a solution to proactively identify and segment qualified web traffic, particularly from mid-market businesses, and route them to the appropriate sales reps for real-time conversations.
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Revenue.io Uses Qualified to Convert 190% More Opportunities in a Single Quarter Through Conversational Marketing - Qualified Industrial IoT Case Study
Revenue.io Uses Qualified to Convert 190% More Opportunities in a Single Quarter Through Conversational Marketing
Revenue.io was using a conversational sales and marketing tool for lead collection, but it was too basic for their needs. The tool was dependent on inbound engagement, limiting proactive outreach. Sales development representatives (SDRs) lacked insight into site visitors, missing opportunities for meaningful interactions. This resulted in lost pipeline and missed quotas.
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Carta Increased Success Rate on Conversations by 900% In Six Weeks and Sourced $4.9M in Pipeline With Qualified - Qualified Industrial IoT Case Study
Carta Increased Success Rate on Conversations by 900% In Six Weeks and Sourced $4.9M in Pipeline With Qualified
Anna Centrella, Director of Sales Development at Carta, oversees a team of Sales Development Representatives (SDRs) whose primary role is to capture and qualify pipeline for the sales team to convert into revenue. She understands that Carta’s website is the storefront to Carta’s business because it is where buyers come to learn more about their products and solutions. In fact, roughly 30,000 potential buyers visit Carta’s website each month. Anna knew the site could do more to drive pipeline. Initially, Carta was using another solution to power their conversational sales and marketing program. However, it wasn’t providing enough information about who was visiting the site, their purchase intent, or if they fit Carta’s ideal customer profile. At the same time, this solution's passive interactions with site visitors weren’t capturing the critical information needed to generate more pipeline. What’s more, this solution had a brittle integration with Salesforce, Carta’s CRM platform. Data from Salesforce wouldn't pull into the platform in real time so Anna's team had to jump back and forth between the two to get a more complete view of their visitors. Doing so hurt both rep efficiency and the visitor experience. As a result, chat dropoff rates were high and the success rate of reps engaging in actual conversations were low. “We were losing these amazing opportunities when someone was actually engaged and interested,” Anna said. “I felt like we were leaving deals on the table.”
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