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Invoca's Signal AI Studio Makes It Fast and Easy for Marketers to Deploy AI That Connects Online Advertising to Offline Revenue

Invoca's Signal AI Studio Makes It Fast and Easy for Marketers to Deploy AI That Connects Online Advertising to Offline Revenue

Signal AI Studio gives every marketer the power to rapidly train AI signals that accurately detect if calls to their businesses are leads and resulted in conversions.
Leading brands such as AT&T, AutoNation, and Banner Health use Invoca's AI to measure the performance of their search and digital advertising, make smarter optimizations to increase conversion rates, grow revenue, and convert more callers to customers.
SANTA BARBARA, Calif., Feb. 11, 2025 /PRNewswire/ -- Invoca, the leader in revenue execution platforms, today announced major advancements to Signal AI Studio, its no-code AI training solution for marketers. Powerful new features make it faster and easier to deploy customized AI signals to measure the lead intent and conversion outcome of phone calls driven by their search and digital advertising.
Offline AI data from Signal AI Studio can be fed automatically into marketing platforms such as Google Ads, Google Analytics, Meta Ads Manager, Search Ads 360, and Adobe to measure end-to-end campaign performance, optimize conversion rates and return on ad spend (ROAS), and deliver personalized experiences at scale. Leading brands such as AT&T, AutoNation, and Banner Health use Invoca's AI to connect online marketing to offline revenue and drive more efficient growth.
'Invoca has embedded AI technology into our platform for a decade. With Signal AI Studio, Invoca customers remain at the forefront of the AI revolution,' said Nathan Ziv, SVP of Product at Invoca. 'There's nothing else like it in Martech—a no-code UI that empowers anyone to train, deploy, and refine custom AI models that capture the precise offline insights marketers need to optimize online campaigns and drive better results.'
How Data From Signal AI Studio Is Transforming Marketing
Prove Marketing's Impact on Revenue: Measure how search and digital advertising drives phone leads and conversions to benchmark performance and prove value to the business.
Increase Revenue Without Increasing Ad Spend: Shift ad spend to the channels and campaigns driving the most leads and conversions – both online and offline – to grow revenue from marketing even when budgets tighten.
Power Better Google Ads Performance: Use phone lead and conversion data to fuel better optimizations from Google Ads smart bidding and Performance Max.
Target the Right People With the Right Ads: Retarget phone leads that didn't convert with digital ads. Suppress non-leads and callers who converted from seeing ads.
Know When Call Handling Impacts Marketing Results: Get hard data on how many phone leads each marketing campaign sends to contact centers and other business locations, if those calls are answered, and if they are successfully converted to appointments or sales.
'The accuracy of Invoca's AI is incredible. It analyzes every phone conversation with our business to tell if the caller is a sales lead and if they placed an order on the call,' said Frank McGinn, Business Intelligence Analyst at Viasat. 'With Invoca's AI, we can prove the true value of our marketing and power the right optimizations across all our channels, including Google Ads, paid social, display, and more. It's having a huge impact on our marketing performance and revenue.'
New Enhancements That Speed AI Signal Training
Intuitive UI for Easy Signal Creation: A guided workflow speeds marketers through the process of creating and deploying AI signals – no technical expertise or data science knowledge is required.
Multi-Signal Training: Instead of training signals one at a time, users can train multiple AI signals at once using the same set of calls for faster deployment. For example, while training an Appointment Lead signal, marketers in healthcare could simultaneously train signals to detect Appointment Booked, New Patient, and Rescheduled Appointment, reducing training time by 75%.
AI-Powered Thematic Search: Advanced search capabilities automatically surface the most relevant calls for training, improving speed and efficiency.
Real-Time AI Accuracy Scores: Users can see predicted accuracy scores for each AI signal during training as well as post-deployment to ensure confidence in the data.
'Invoca's AI measures how all our marketing activities drive insurance policies purchased over the phone. The AI data is amazingly accurate, as it provides an in-depth view of where consumers are in their purchasing journey,' said Tim Mogler, Senior Account Manager at Mutual of Omaha. 'AI has given us confidence when reviewing call data no matter the channel and allowing us to pivot when needed. With Invoca's AI, our marketing team can invest in the right campaigns with certainty, and the impact it's had on sales and revenue has been impressive.'
Signal AI Studio is generally available to all Invoca customers. Businesses interested in improving their marketing and sales performance can request a demo at invoca.com.
Learn More:
About Invoca
Invoca is a revenue execution platform that connects marketing and sales teams to help them track and optimize the buying journey to drive more revenue. By using a comprehensive revenue execution platform with deep integrations with leading technology platforms, revenue teams can better connect their paid media investments directly to revenue, improve digital engagement, and deliver the best buyer experiences to drive more sales. With Invoca, top consumer brands, including AutoNation, DIRECTV, Mayo Clinic, Mutual of Omaha, and Verizon, experience unbelievable results powered by undeniable data. Invoca has raised $184M from leading venture capitalists, including Upfront Ventures, Accel, Silver Lake Waterman, H.I.G. Growth Partners, and Salesforce Ventures. For more information, visit www.invoca.com.
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Bloomberg estimates that in order to complete all of the 39 projects as outlined, companies would need to figure out a way to purchase more than 14,000 data servers or 115,000 Nvidia H100 or H200 chips, both banned for China-based entities. Bloomberg estimates these chips would be worth billions of dollars based on black market prices in China. Nyocor declined to comment. China Bester and China Energy Investment didn't reply to requests for comment. Infinigence AI couldn't be reached for a response. Around 70% of computing power planned by the identified projects is in a single compound set up by the local government in Xinjiang. That makes the region — the epicenter of Western charges of Chinese rights abuses including forced labor and religious persecution — pivotal to China's efforts to seize the lead from the US in a sphere seen as key to future global technological, and geopolitical, dominance. Even if successful, the Xinjiang complex would only involve the number of Nvidia chips that one major hyperscaler — a term for massive data center operators like Microsoft Corp. and Amazon Web Services — deploys in a single week, according to data Nvidia provided on a recent earnings call. Still, Chinese companies like DeepSeek are beginning to show they can do more with less. 'The gap between leading US and Chinese AI labs is closing,' said Kevin Xu, a tech investor and founder of US-based Interconnected Capital, who put it at around three months. Players like DeepSeek, which says it trained its R1 model using less-advanced Nvidia chips, are 'very serious and sincere' about pursuing artificial general intelligence, Xu said. The fact that leading Chinese models are open source means they spread faster globally, he added, while noting that diffusion is hard to track: 'Beijing sees this trend as a source of technological soft power worth embracing.' DeepSeek and other Chinese AI startups have already expressed interest in collaborating with the data center projects in Xinjiang, according to an employee of one of the largest investors in the Yiwu sites. That employee, whose name has been withheld to protect their identity, said in a message exchange that their company will invest more than 5 billion yuan ($700 million) in data center projects there in 2025 and 2026. China's data center industry is expected to surpass 300 billion yuan in scale this year, according to the Securities Times. Chinese entities are collectively expected to invest nearly that amount on an annual basis by 2028, according to the China Communications Industry Association — a more than threefold increase from a half-decade prior. Xinjiang has already brought its first 'intelligent computing center' online, and constructed 24,000 petaflops of computing power for demand from the logistics hub of Chongqing, Chairman of the People's Government of Xinjiang Erkin Tuniyaz said in an annual government work report in January, without specifying the type of chips installed. The cited computing power is equivalent to roughly 12,000 server-integrated Nvidia H100s. Prospective investors in such projects are attracted with the promise of free electricity worth up to 20% of total power costs. Data center operators also can access government support ranging from one-off payments for construction to operation incentives for up to five years, depending on company size, according to local government documents reviewed by Bloomberg. Experts in 'green computing' areas are also eligible for favorable terms on accommodation, children's education and research funding. From a standing start, 'Xinjiang's intelligent computing has achieved a historic breakthrough,' Tuniyaz said in January. China's Planned Computing Power Corridors China's East Data West Computing initiative brings together AI data centers and computing power demands Policymakers in Washington for years have been aware that limiting China's access to US technology is not as simple as writing a regulation. Not two months after the chip restrictions took effect, Chinese officials caught a woman hiding forbidden hardware in a baby bump. The American AI company Anthropic recently said smugglers have packed GPUs next to live lobsters. Nvidia has dismissed both examples as 'tall tales' that ignore the complexity of building data centers, which require operational support to run properly — support that Nvidia does not provide for restricted products in China. Still, conversations with people privy to illicit semiconductor transactions, as well as media reports from a range of outlets, indicate that smuggling networks have gotten more sophisticated over time. Those stories — which have helped inform US investigations, people familiar with the matter said — have cited examples ranging from dozens of illicit processors to more than a thousand. Potential smuggling in Malaysia has become a big concern for the Trump administration, which plans to restrict Nvidia sales there to halt possible diversion to China, and also has asked Malaysian authorities to crack down on the issue — a request the government has said it'll heed. Officials in Singapore, meanwhile, are prosecuting three men for alleged fraud in exports to Malaysia of AI servers that likely contained advanced Nvidia processors — bound for an unknown final destination. In response to queries about Washington's export control plans, Malaysia's Ministry of Investment, Trade & Industry said the country will 'act firmly against any company or individual should there be strong evidence' of misuse or diversion of advanced tech. The ministry added that Malaysia welcomes a dialogue with the US and other nations to 'clarify any misunderstandings and to strengthen mutual trust.' Trump officials are separately investigating whether DeepSeek may have accessed restricted chips through intermediaries in Singapore, and a bipartisan congressional committee focused on China recently requested Nvidia's customer data for 11 Asian countries, related to concerns that DeepSeek may have circumvented US export controls. (None of the documents viewed or interviews conducted through the course of this investigation indicated any link between the Xinjiang projects and supply chains in Singapore or Malaysia. Nvidia is not accused of any wrongdoing in Singapore's probe or in the US investigation into DeepSeek.) Read More: Lutnick Urges Tougher Enforcement of Export Curbs on China Nvidia consistently has said it abides by all US rules, but Huang has made no secret that he doesn't like Washington's strategy. Years of curbs — including on crucial semiconductor manufacturing equipment — have 'failed' to contain Huawei's rise, he said at the May conference in Taipei. Nvidia now sees Huawei as a formidable competitor, and the company worries its Chinese rival will continue to improve and gain market share — unless the US government allows Nvidia to compete on Huawei's home turf. Washington isn't buying it. The Trump administration has already further limited the types of chips Nvidia can sell in China, at a $5.5 billion hit to the company. White House AI Advisor Sriram Krishnan, asked about Huang's urge to lift those curbs, said that 'there is still bipartisan and broad concern about what can happen to these GPUs once they're physically inside' the Asian country. Meanwhile, Chinese companies continue to build their data centers, a sign they expect to receive AI chips from somewhere. Two such construction projects were approved by the Qinghai government in December 2024, with a total investment of 13.5 billion yuan, documents from Qinghai's investment review website show. The companies applying for construction permits for both projects were founded that same month. China's company registry services show both entities can be traced by shareholding data to the same group of controlling companies: one real estate firm in Qinghai named Qinghai Borong Group and one AI tech company in Sichuan called Chengdu Qingshu Technology. They didn't respond to requests for comment. Neither is on Nvidia's official resellers list. Related tickers: NVDA:US (NVIDIA Corp) 40978Z:CH (Huawei Technologies Co Ltd) 600821:CH (NYOCOR Co Ltd) 603220:CH (China Bester Group Telecom Co Ltd) Additional reporting by Ian KingYuan GaoEdwin ChanJenny Leonard Edited by Alan CrawfordJane PongPeter Elstrom Photos edited by Yuki Tanaka Methodology Bloomberg News obtained the investment plan documents from Xinjiang and Qinghai's government websites exhibiting investment approvals, the description of which specify the investing company's name, date of approval and how many H100/200 servers are to be installed or the planned total computing power. Bloomberg cross-checked the company details in the documents with China's company registry information to identify their ultimate parents, and looked them up in the tender databases in China for announced procurement and tender information. Bloomberg reporters also found details of Yiwu's AI development project when conducting reporting in the town, with billboards showcasing the industrial park's master plan. Terms of Service Do Not Sell or Share My Personal Information Trademarks Privacy Policy Careers Made in NYC Advertise Ad Choices Help ©2025 Bloomberg L.P. All Rights Reserved.

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