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Time is Money: The Story of Titan

From its humble beginnings to its meteoric rise, Titan has captured the hearts and wrists of millions of people worldwide. With exclusive insights and extensive research, The Big Bull of Dalal Street offers a riveting narrative of Titan’s evolution, revealing the challenges and triumphs of this consumer brand powerhouse.

Here’s an excerpt from the book!

The Big Bull of Dalal Street
The Big Bull of Dalal Street || Neil Borate, Aprajita Sharma, Aditya Kondawar

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The journey of a thousand miles begins with a single step, and the journey of Titan began with one watch! Today, every three seconds, someone somewhere around the world buys a Titan watch. Titan started in 1984 with just one product category—watches. Xerxes Desai, a senior executive with the company, was looking for new business opportunities for the firm when he chanced upon the idea of watch manufacturing in 1977. The Titan story is documented in detail in the book Titan: Inside India’s Most Successful Consumer Brand by Vinay Kamath, published in 2018, parts of which we will rely upon, along with Titan annual reports, in this chapter.

 

After almost a decade of tenaciously navigating through the public sector Hindustan Machine Tools’ (HMT) hegemony, the reluctance of the Swiss to part with watchmaking technology, the licence raj and RBI’s stringent forex norms, Titan was formed as a joint venture between Tamil Nadu Industrial Development Corporation (TIDCO) and the Tatas in 1984. TIDCO had been looking at a few projects and its talks with other watchmakers hadn’t borne fruit. To provide much needed foreign exchange to finance the purchase of the required capital equipment, assistance was sought from the International Finance Corporation (IFC), based in Washington DC. The IFC is the private sector-focused sister entity of the World Bank.

 

The IFC was so enamoured by the project, it even sought to make an equity investment in Titan. Titan chose to locate its first plant in Hosur and its headquarters in Bangalore. The fact that HMT’s watch plant was located in that city was a major incentive. Xerxes said as much in an interview published in Businessworld magazine in December 1989. The main reason for choosing Hosur was its proximity to Bangalore. They thought it would be easier for them to pull people out of HMT especially the ones with technical and managerial experience. They wanted to raid HMT and they were successful with the same. It was a blessing in disguise for them as HMT was overflowing with staff and the growth avenues at the top-level management weren’t many, which made the raiding even easier.

 

Titan launched with five watch collections: Exacta (steel), Fastrack (sporty models for the youth), Classique (gold-plated dials with leather straps), Spectra (two-tone—steel and gold) and Royale (gold-plated dials with goldplated metal bracelets). The lowest priced was Fastrack, at Rs 350, and the highest was Royale at Rs 700. From day one, Titan was projected as a premium brand. That first day at the Safina Plaza showroom, Titan sold seventeen watches; the first month’s sale was 313 watches. The Classique range was the bestseller, accounting for 65 per cent of sales.

 

However, the journey was not without its hiccups. From the initial batch of Titan watches manufactured in December 1986, J.R.D. Tata was gifted a watch. To the embarrassment of the Titan team, the quartz watch given to Mr Tata was not working. In the 1990s, Titan took the disastrous decision of entering the European market. Used to working in a monopolistic environment in India, Titan was unable to match up to the exacting standards of delivery and quality that watch retailing in Europe involved. It was a struggle, recalls Ajoy Chawla, a young manager in the early 1990s who would later head new business incubation and strategy for Titan Company Ltd, even to pay salaries and the rent for the premises. The effect was very clear on the financials—despite growing revenue from Rs 700 crore in 2000–01 to Rs 800 crore in 2002–03, net profit decreased from Rs 23.5 crore in 2000–01 to just Rs 6.2 crore in 2002–03. Titan was going through a tough phase. It was a trying time for Bhaskar Bhat, who took over as managing
director in 2002.

Narrating Stories with Data

As director of analytics and A/B testing at Visa, Ravichandran supports executives, leaders, and decision makers in product, marketing, sales, and relationships. He explained to me that “we are the custodians of the data, so our responsibility is to enable our users to have confidence in the decisions they make using that data.”
One of the biggest changes the analytical era of marketing has brought about is that things need to happen much faster than before. “We used to have a very linear approach,” Ravichandran told me. “Now when something is going live, there’s already an immediate need to respond. We need to be able to take action on the fly.” Because of those changes, marketers can no longer think about analytics as something that supports them or a function that just one person, like a chief digital officer, would perform. Rather, analytics is now an integral part of marketing’s value chain.
Ravichandran said that numbers by themselves are historical. That’s why, while data is needed to inform campaigns, at the end of the day, it still comes down to marketers using their gut feelings to make the best decision possible. “And we can use data and analysis to inform and guide us in the right direction,” he added.
Because data and analytics are now so intertwined with marketing strategy, expectations for leadership on the marketing side have changed. “It’s no longer acceptable to say you’re a marketer, but you’re not a numbers person,” Ravichandran said. “Executives are demanding more data literacy as a precursor for being a good marketer.” And it’s not just in the marketing space. He added, “All of our chief executives are comfortable with numbers and data-driven approaches.”
Ravichandran was quick to clarify, however, that a focus on data, numbers, and quantified measures should not replace the value of vision: “I have an enormous respect for data, but I also believe all of it has to be driven by strategy, the business case, benchmarking against the industry, all those things that provide a broader perspective. You have to understand what specific metrics you’re trying to impact with your actions.” He advocates the importance of understanding your company’s business model, applying and measuring the right metrics, and truly understanding your competitive position and your customers’ needs.
The big mind-set shift we need to make, therefore, is recognizing how our intuition is now informed by data and analytics. When someone comes to a marketing manager or leader with a proposal to spend, say, $250,000 on a campaign, she had better come armed with data, analysis, testing plans, and expected outcomes, as well as what her gut is telling her.
This is an excerpt from Adele Sweetwood’s The Analytical Marketer. Get your copy here.
Credit: Abhishek Singh
 

Winning with Superconsumers

Daniel Zein (disguised), the CFO of Great Snacks, thought that Nacho Cheese could be one of the company’s most valuable brands, so he encouraged the team to dig further into the product. The team did some robust analysis, and to their surprise, they discovered that Nacho Cheese’s consumers spanned the entire income spectrum.
From the data, it was obvious that Nacho Cheese could be a much bigger brand. Of all the full meals that consumers eat at home, about 37 percent are consumed hot and include cheese. But Nacho Cheese was used in only a fraction of those meals. To grow its product, the Great Snacks team decided to focus on the twenty-four million or so other consumers who share the same three loves that Laura had—people, cooking, and cheese—but who may not understand the magic of Nacho Cheese and the dozens of life solutions that it could deliver.
Simply put, the team gathered data from their superconsumers, ensured that the resultant insights and inspiration also appealed to the other twenty-four million consumers, and then geared its marketing, innovation, and retail execution to their tastes and behaviors. The immediate challenge was to convince the company leadership that Nacho Cheese could grow through better marketing and innovation—from packaging to product.
Line extensions into other forms of cheese were also a logical action step. Great Snacks drove growth by megabranding Nacho Cheese into other categories. The core business grew steadily faster than inflation, but the extensions in cheese (e.g., slices, shredded cheese) grew by double digits. All told, the brand extensions drove more than $50 million in growth, and the megabrand grew $100 million in three years.
For years, innovation for Nacho Cheese was a challenge. Since the brand was not well understood, innovation concepts yielded mixed results, which made the team hesitant to pursue breakthrough innovation. But with new data, the team revamped its innovation testing process to include both superconsumers (like Laura) and potential superconsumers (folks who could become like Laura).
The group was pleasantly surprised to find that among all the new product concepts it tested, some were off-the-charts positive for superconsumers. The team made a few tweaks, the new concepts tested positive for potential superconsumers as well, and the team finally had the results it needed to proceed.
The team saw that retail activation was inconsistent across retailers. In some stores, Nacho Cheese was placed in the center of the store. In others, it was refrigerated in the cheese and dairy section. So the team did some analysis and found that Nacho Cheese sold faster in the refrigerated section, which consequently produced better results for Great Snacks and the retailer. The team learned that superconsumers strongly preferred the product when it was sold in the refrigerated section. What’s more, potential superconsumers had a much easier time finding it in the refrigerated section.
Finally, the Great Snacks team used big data to uncover meaningful ways of improving marketing ROI. It used big data from Nielsen Catalina Solutions—a joint venture that creates a single-source panel of consumers from the sixty million loyalty-card holders from grocery stores and the Nielsen TV panel of two to three million households. The single-source data gave the team interesting insights on the actual TV shows that Nacho Cheese aficionados were watching. In one test using this data, the team found that superconsumers were fifteen times more responsive to Nacho Cheese advertising than other consumers! The vice president of marketing noted that the brand’s marketing objective was to have a conversation with superconsumers about their love for Nacho Cheese, but to do so in a way that potential superconsumers could listen in.
The beauty of all this was that the data the team used to improve innovation, retail activation, and marketing was already there. Superconsumers gave the marketers a way to synthesize the data into a coherent and coordinated set of actions and metrics. Looking at superconsumers like Laura, the team gained confidence that the strategy had even more upside. And the team saw the potential and ran with it.
Want to know a simple, speedy, and sustainable path to superior growth? Order Eddie Yoon’s Superconsumers here!
This is an excerpt from Eddie Yoon’s Superconsumers.
Credit: Abhishek Singh

Politics and the Art of Branding

Political parties and consumer brands have more in common than you think, both have a set of target consumers and specific marketing strategies.
Here are a few things that political parties can learn from consumer brands
Leveraging Technology
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Brand Proposition
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Brand Ambassador
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Youthful Brand Offering
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Brand Slogan
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Authenticity of Brands
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Can you think of any more tips that political parties must bear in mind while planning their marketing campaign? Tell us in the comments.
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