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Innovid will acquire TVSquared, bridging CTV and linear TV measurement and attribution

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Innovid will acquire TVSquared, bridging CTV and linear TV measurement and attribution


CTV advertising delivery and measurement platform Innovid has entered into an agreement to acquire TVSquared Ltd., a global measurement and attribution platform for linear or “converged” TV. The deal is valued at approximately $160 million.

Bringing together the measurement capabilities of these companies will aim at establishing a new standard for cross-platform measurement, or a “total view” at scale. TVSquared provides measurement for brands, agencies, publishers and broadcasters on six continents.

The combined offering will represent buy and sell-side customers, and will include ad servicing, creative personalization and optimization, measurement of audiences and outcomes across TV and digital video.


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“Innovid and TVSquared share complementary visions to transform TV measurement through a comprehensive view of audiences across all devices and platforms worldwide,” said Calum Smeaton, CEO and founder of TVSquared, who’ll be stepping down as CEO when the deal closes, according to a company release. “Joining forces establishes a cross-platform measurement solution that maps one of the largest datasets of audiences, homes and devices, at scale, across linear, CTV and digital video.”

Read more: Innovid becomes Olympics ad management partner

Smeaton will take on a strategy role in support of the Innovid integration, while TVSquared’s president, Jo Kinsella, will join the Innovid executive team.

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Why we care. The TV ad ecosphere is in transition as more viewers are cutting the cord. This has been a narrative since before the pandemic, and has been accelerated somewhat since then. 

However, since the 2015-2016 broadcast season, U.S. linear TV spend has dropped from $48.4 billion down to $40.7 billion in 2020-21. That’s still a significant spend that advertisers would like to make apples-to-apples with CTV and video in a single independent measurement and performance standard.

Advertisers might also have less confidence in the ability of measurement companies from traditional TV, like Nielsen, to be able to keep up with this digital transformation of TV, which still remains very fragmented across linear, CTV, digital video, with new streaming apps causing further fragmentation for audiences. Comscore Everywhere, released last month, is another attempt to bridge this gap.


About The Author

Chris Wood draws on over 15 years of reporting experience as a B2B editor and journalist. At DMN, he served as associate editor, offering original analysis on the evolving marketing tech landscape. He has interviewed leaders in tech and policy, from Canva CEO Melanie Perkins, to former Cisco CEO John Chambers, and Vivek Kundra, appointed by Barack Obama as the country’s first federal CIO. He is especially interested in how new technologies, including voice and blockchain, are disrupting the marketing world as we know it. In 2019, he moderated a panel on “innovation theater” at Fintech Inn, in Vilnius. In addition to his marketing-focused reporting in industry trades like Robotics Trends, Modern Brewery Age and AdNation News, Wood has also written for KIRKUS, and contributes fiction, criticism and poetry to several leading book blogs. He studied English at Fairfield University, and was born in Springfield, Massachusetts. He lives in New York.



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7 Critical Factors You Must Consider When Choosing RPA Tools

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Robotic Process Automation is a technology that makes it easy for businesses to build, deploy and manage bots that can replicate humans interacting with digital systems and software. These bots can perform structured and pre-defined tasks such as filling out a form, processing a financial transaction or sending messages.

The core purpose of robotic process automation is to automate mundane and repetitive tasks so that your employees don’t waste their time on those tasks and focus on more value-driven activities with automatic employee monitoring software. Yes, a human first has to define the workflow for a bot for it to work but once done, it can perform most tasks automatically.

Advantages of Robotic Process Automation

Here are some of the advantages of robotic process automation:

  • Optimal resource utilization
  • Save time
  • Reduces cost
  • Minimize errors
  • Increases business capacity

Disadvantages of Robotic Process Automation

Some of the disadvantages of robotic process automation are:

  • Requires monitoring and maintenance
  • Not capable to extract information from unstructured datasets
  • Can not automate complex tasks
  •  The time-consuming and costly setup process

In this article, you will learn about seven critical factors you must take into account when choosing robotic process automation tools for your business.

Before discussing factors you should consider when buying robotic process automation tools, it is important to understand that every robotic process automation tool has its own format and does not offer any kind of portability. This means that there are no standards so the one size fits all formula does not apply here.

Make sure that the robotic process automation software you are planning to buy has all the features you need along with some handy extras. Ask for proof of concept before rollout and only buy the software when you are sure that it is the right choice to meet your business needs.

7 Factors To Consider When Buying RPA Tools

Here are seven factors you must consider when buying a robotic process automation software

1.  Ease of bot setup

Setting up a robotic process automation software can be a daunting challenge for businesses as it can take a lot of time and resources. That is why it is imperative that enterprises invest in robotic process automation tools that are easy to set up and use.

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It must also allow a level of customization and let businesses create custom bots for different buyer personas. Developers should be able to call the robotic process automation tool API when writing code for automation.

2.  Low-code capabilities

Gone are the days when only experienced developers could create websites and apps. With the advent of low code tools, anyone can now create an app even with little to no coding knowledge(accounting app, management app, etc.). Low code development lets you drag and drop ready-made components from the tool library and write small code snippets for functions that are not present in the tool library of the tool. Choose robotic process automation tools that offer these low code capabilities.

3.  Machine learning capabilities

As mentioned before, robotic process automation software struggles when it comes to extracting actionable insights from unstructured datasets. Since a major chunk of company data is in unstructured form, it makes robotic process automation tools useless.

That is where the machine learning capabilities of these robotic process automation tools come in handy. With these capabilities, it can parse through documents, find information and return it to users. This can enhance the user experience and boost customer loyalty. Some vendors might give this a fancy name but the functionality remains the same.

4.  Integration with enterprise applications

Another important factor you can not afford to ignore when buying robotic process automation software is compatibility with enterprise applications. At the end of the day, your robotic process automation software’s utility is highly dependent on how these tools can integrate with your existing business application. This is about your data integration with supermetric alternatives and so on.

Its capability to extract data from your existing business applications matters most. Does your robotic process automation tool offer plugins to seamlessly connect it with your database, accounting systems, HR systems, appointment setting services and ERP systems? If yes, then you should certainly consider it as an option if it fulfills all your requirements.

5.  Orchestration and administration

Before these bots can take care of mundane tasks, you will have to first configure them and feed them with the right information as well as a secure credential. This secure credential is usually stored in a credential store. If you want other users to use your bots, you will first have to authorize and authenticate them.

You should also allocate resources for certain bots which trigger when a special event occurs. Once you have set it up, now you have to monitor it so it can work without human involvement. You will have to constantly improve its machine learning capabilities so it does not need human support when performing tasks.

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6.  Process and task discovery and mining

Identifying business processes you want to automate and prioritizing them is critical for the success of your robotic process automation implementation. Unfortunately, it is also the most time-consuming part of the process as well.

The more your robotic process automation software lets you mine for processes from system log and construct task flows by observations, the easier it will be for you to implement it and automate your business processes. Look for robotic process automation tools that make task discovery and mining painless.

7.  Scalability

If you are planning to implement robotic process automation throughout the organization, you will bump into scalability issues. The best way to resolve these scalability issues is to implement them in the cloud, in containers or via virtual machines. If the orchestration component can allocate extra bots when needed, solving the scalability problem is not a problem.

At the end of the day, the success and failure of your robotic process automation rest on identifying the best tasks and processes to be automated. Make sure to document every step involved in the process. Never cut corners in testing cycles because it can lead to some missing links in your robotic process automation systems.

What factors do you consider when selecting a robotic process automation software? Share it with us in the comments section below.

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