Tobin Thomas wants your next marketing dollar to explain itself

A finance chief asked Tobin Thomas what would happen to revenue if the company stopped its paid social advertising for a month. Thomas was selling the software that helped measure that advertising. He recalls having no good answer. There are more comfortable moments in a founder's life than discovering that a customer has asked the question your product ought to answer.

The episode, which Thomas recounted in May 2026, gives his work at Lifesight a useful human scale. Behind the terminology sits a vendor being challenged by a buyer. Thomas says he chose to rebuild around causal measurement and abandon attribution as a standalone product. He also says the change cost roughly a fifth of revenue over two quarters. Conviction, in this instance, arrived with an invoice.

Today, the Lifesight co-founder and CEO argues for measurement that can withstand a budget meeting. His career has taken him through insurance, sales leadership, digital commerce and marketing technology. The recurring concern is commercial: what produced the result, and what should the business do next? A handsome dashboard has limited charm when somebody else must sign the cheque.

Before the models, there was selling

Thomas's professional background includes TATA AIA, Bharti AXA, Future Generali, Getit Infomedia and Ebizu. His published career biography describes experience in profit-and-loss management, distribution, partnerships and business development. These are jobs in which a strategy eventually has to encounter a customer. One can admire a plan indefinitely; a sales target tends to impose a deadline.

That biography also records a CEO award for his 2012-13 performance at Getit Infomedia and a chairman's award for business excellence in 2014-15. The distinction matters less as decoration than as a clue to his formation. Thomas came into marketing technology with experience of revenue responsibility, rather than a public identity built solely around research or software engineering.

Before Lifesight, he led sales and operations at AskMe in Malaysia. In September 2017, he and Rohit Maheswaran founded Lifesight in Singapore. The early proposition concerned location intelligence: helping businesses connect digital advertising with what consumers did in the physical world. A visit to a shop offered a different commercial question from a click on a screen.

A company before there was a product

Rajeev Aravindakshan Nair, now a co-founder and chief product officer, remembers speaking with Thomas and Maheswaran in 2017 when Lifesight was still an idea. Nair joined as a Python data and business-intelligence analyst and became its first product manager. His recollection adds something that a list of executive titles cannot: the company began with people agreeing to investigate a problem before there was a finished product to demonstrate.

Lifesight's current founding team also includes chief technology officer Anil Singh. Thomas occupies the CEO seat within that group. The distinction is useful in a founder profile, where the temptation is to turn every company into a solo performance. Product development, engineering and commercial leadership have their own names here. Thomas's story has colleagues in it.

The initial business expanded across Singapore, Malaysia, India and Indonesia. Its development centre was in Bengaluru. That geography made the early challenge practical as well as technical: build something that could work across markets, with different retailers and advertisers asking whether their spending had accomplished anything useful beyond an attractive report.

From the click to the shop door

A 2019 partnership with mobile advertising company AdColony shows the earlier version of Thomas's ambition. He wanted campaign measurement to extend beyond clicks and show how advertising affected physical store visits. The setting was mobile video and Asia-Pacific advertisers. The preoccupation was already familiar: a digital event needs a convincing connection to an outcome the business values.

In 2021, Lifesight made customer intelligence data available through Narrative's data platform. Thomas spoke then about businesses needing fresh information to understand changing consumer behaviour. The announcement belongs to a period when Lifesight's offering included identity and enrichment data. It is a reminder that the current business emerged through changes in product emphasis, rather than appearing fully formed with today's vocabulary.

Thomas now describes a career spent encountering pieces of the measurement problem separately, including pricing dynamics and geographical analysis. Individual metrics could look satisfactory while leaving the larger investment decision unresolved. His response has been to put several methods into the same working system. The aim is easy enough to understand, even when the machinery requires specialists.

Three methods, one budget to spend

Lifesight combines marketing mix modeling, incrementality testing and causal attribution. In Thomas's account, each supplies a different view of effectiveness. Modeling helps consider how spending works across channels. Experiments examine what changes when advertising is withheld. Attribution provides finer detail about activity, with that detail checked against the broader measurement framework.

The distinction can be illustrated without inventing a customer success story. Someone may see an advertisement and subsequently buy a product. The sequence establishes that the advertisement was present. A budget owner still needs to judge how much purchasing would have occurred without it. That missing comparison is where the commercial argument becomes interesting, and considerably less flattering to easy claims of success.

One of Thomas's favourite early memories is a first client moving its marketing budget following Lifesight's recommendations and seeing profits improve within weeks. He tells the episode without naming the client or disclosing the budget. Its importance in his account is the moment of use: a recommendation left the software and changed what somebody actually spent.

By December 2025, Thomas said the platform had measured more than $5 billion in media spending for over 300 brands worldwide. Those are his reported figures for that date. Their relevance to his career is exposure to decisions across many businesses. They do not tell a reader what any particular advertiser will earn, a distinction a profile about measurement ought to respect.

Inviting finance into the conversation

Thomas's May 2026 writing describes finance taking a larger role in Lifesight's sales conversations. He says the company changed its discovery process to expect a CFO or senior finance representative. It also changed how it presented the product, giving more attention to the buying committee and the reasoning behind recommendations.

That is an organisational change with a social consequence. Marketing and finance need to understand the same expenditure well enough to act together. Thomas's bet is that shared evidence can make those conversations more productive. A recommendation becomes easier to discuss when the participants can inspect its assumptions. A number acquires rather more authority when it survives questions from the person paying for it.

His October 2026 advice to marketing leaders remained focused on trust, customer contact and clarity. He described the difficulty of putting AI recommendations into existing workflows and getting people to believe the underlying models. The obstacle, in his telling, includes ordinary organisational behaviour. Even useful software has to secure an invitation into the meeting.

The agent needs something sound to read

Thomas has also advocated using AI agents inside the business itself. In February 2025, he introduced an approach called Agent-Led Growth, with plans to use agents across Lifesight's sales, marketing and customer-success teams. It extends his interest from measuring a customer's decisions to changing how his own company works.

The previous month, Lifesight had announced unified reporting and a Marketing Intelligence Agent designed to analyse information, answer questions and recommend actions through a chat interface. The ambition included helping users assess budget allocation. Seen together, the announcements place Thomas on both sides of the AI conversation: selling the capability and proposing to put it to work internally.

“An AI agent reasoning over broken measurement will waste money faster than any human ever could.”

Tobin Thomas, Lifesight manifesto

That warning gives his enthusiasm a condition. More speed increases the importance of what the system believes. His September 2026 writing returned to the danger of agents accelerating decisions grounded in poor marketing data. The practical aspiration is a chain in which the evidence, recommendation and eventual action remain intelligible to the people responsible for the budget.

A founder puts his reasoning on paper

With The Decision Desk, Thomas has made writing part of the job. The newsletter began in May 2026. Subsequent essays considered finance's role, incrementality, board oversight and the shape of a marketing organisation using AI. The choice of subjects follows money through the business, from a channel-level result to the people who approve the operating model.

One July essay imagines two marketing teams on a Monday morning in 2027. It is explicitly a future scenario. The appealing detail is the preference for a function that looks relatively uneventful because its measurement and decisions work together. In an industry fond of product launches, Thomas has found room in his argument for the virtues of an unremarkable Monday.

He also acknowledges limitations in incrementality testing, including spillover between markets and experiments too small to produce useful precision. That qualification matters to the ambition. A business still has to choose when the evidence contains uncertainty. Thomas wants the tools to help people understand that uncertainty as they spend, rather than allow the appearance of precision to settle the matter.

His longer-term ambitions include bringing sophisticated decision tools to mid-market businesses and applying decision support to pricing and supply chains. For now, the question remains close to the one that unsettled him in a customer's meeting. Before the next dollar leaves the business, somebody ought to be able to explain why it should go there. Thomas has made that explanation his company's work.