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GUEST COLUMN: A complete guide to retail analytics for 2022

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Mumbai: There are a million things that retailers need to do every day. From creating strategies for attracting new customers to finding ways to retain old customers and introducing exciting offers and brand campaigns, they have to also keep an eye on the fierce competition in the market as well.

But, coming up with strategies and implementing marketing tactics is not enough until you track them right!

Data analytics must be a crucial part of every retail business these days. Whether the website traffic, engagement rates, inventory, revenues, or expenses, tracking every retail marketing metric is essential. By monitoring your data the right way, you can gain meaningful insights and make better, informed decisions for your business.

So, let’s dive into what retail analytics is and how it can be leveraged to make your retail business a success.

What is retail analytics?

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Retail analytics refers to collecting retail data and analyzing it to gain meaningful insights into the performance of the business. That is information about their stores, vendors, products, and customers. Retail analytics allows retailers to harness all the data, discover trends, and make predictions based on the current data values.

Types of retail analytics

You can tap into different types of retail analytics that can help you understand the performance of your business in a better way. These include:

In-store analytics: This refers to the methods you use to collect data from your retail store. For instance, foot traffic, dwell time, conversion rate, etc.
Web analytics: You must also know how your website is performing. This includes tracking metrics like website traffic, conversions, and sales.
Inventory analytics: Keeping track of your stock is also crucial in retail analytics. It helps you determine which products are doing better and which are not. The primary metrics here include sell-through rate, stock turn, etc.
Customer analytics: It is all about knowing your customers—for example, customer retention rate, churn rate, customer loyalty, etc.

Importance of retail analytics

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When you have all the data you need, you can use retail data analytics to improve various aspects of your business. Here are a few points highlighting why retail analytics is crucial for every retail business.

1. Better sales and marketing tactics

Retail analytics can help you understand your customers at a deeper level, making it easier for you to market your products to the right customers and in the right way. For instance, data analytics can help you find out what messaging attracts more customers or which social media channel has the highest engagement rates. This way, you can improve your marketing campaigns accordingly and drive sales.

2. Improved business management

Retail analytics plays a crucial role in enhancing day-to-day business management. It allows you to predict which products are being preferred by customers these days, and you can make decisions on stocking, tracking, and restocking the units accordingly. You can keep track of how a particular product sells and understand the current demand in the market.

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3. Enhancing customer loyalty

Retail analytics helps you keep track of purchase history, shopping patterns, preferences, and other essential metrics associated with every customer. As retail analytics enables you to analyse customer behavior better, you can use this information to provide a better, personalised shopping experience to every buyer.

4. Better in-store operations

With in-store retail analytics, you can make changes around your store to attract more customers and increase your sales. For instance, you can determine which store layouts attract the customers the most or which product placement draws maximum attention. You can enhance your staffing, include appealing designs, and implement effective sales tactics to make your offline store a hit.

Data analytics is not as easy as it sounds

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Many marketers these days struggle with data analytics. According to Marketing Revolution, 57 per cent of marketers incorrectly interpret data and likely get incorrect results. The main problem that retail marketers face these days is the lack of data which leads to:

    Uninformed decisions and underachieved goals
    Poorly performing campaigns since marketers have no idea which aspect of their campaigns to improve
    Unnecessary investment in data analytics tools and vendors

How to utilise retail analytics for your business?

Retail analytics can help take away the guesswork out of your business. It gives you a reality-check of how your business is performing and enables you to keep track of every aspect of your business, from sales to inventory and customer experience. Here’s how you can overcome data analytics problems and make use of retail analytics better.

1. Integrate various marketing channels

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Keeping data from different sources distinctively makes tracking it a difficult task. The first step to retail marketing involves connecting all your marketing channels to a single data platform. Bring data from multiple marketing channels to a centralised place so that you can track data, find patterns and understand your customer journey in a better way.

2. Real-time tracking

Track the critical metrics every single day! Real-time tracking allows you to understand the current market situation. This way, you can take immediate action and see results. You can send the proper communication to your customers at the right time and promote your sales.

3. Represent your data visually

Do not just rely on spreadsheets for retail analytics. Make use of charts, graphs, and funnels to understand every little detail. Visual representation of data will also make it easier for you to identify patterns and understand the performance of your business in a better way.

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4. 360-degrees retail analytics

This is considered one of the most important analysis tools for a retail company. It is a compact, easy-to-read, insightful report that combines all the customer metrics in one place. For instance, a 360-degree customer profile helps you understand their buying history, interests, preferences, shopping patterns, and demographics.

5. Access analytics data from anywhere

Data should be available to retailers at all times and across platforms. This means you should be able to access and manage your analytics dashboards at any time from your laptop, tablet, or even mobile phone. This way, you can share this data anytime, from anywhere, with your team and keep track of your retail business performance.

Some tips for better retail analytics:

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Here are some essential tips that retailers should keep in mind to ensure a successful data analytics process for their business.

1. Focus on key metrics

There are different key performance indicators (KPIs) in retail marketing. But, not all of them might work for all retail businesses. So, you must find out which metrics affect your business the most and are relevant to you. Track them and make the best use of retail analytics. Some important retail marketing KPIs include:

    Customer retention
    Average transaction value
    Conversion rate
    Foot traffic and digital traffic
    Sales per square foot
    Inventory turnover
    Gross margins return on investment

2. Be consistent

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Retail analytics should be something that you do regularly—for instance, weekly or even daily. When you track the metrics constantly, you understand the various factors bringing that change in a better way. For example, if you follow your sales weekly, you can quickly determine if your sales are dropping and immediately take action.

3. Connect different metrics

If you want to gain clear insights into the performance of your business, you need to relate the various metrics and analyze them. For example, foot traffic should be associated with the number of sales to determine whether people entering your store are actually buying your product.

4. Collaborate with your team

Clever algorithms and practical tools are essential, but so is a team that can study the results and gives its opinions. Talk to your staff and understand what they are experiencing on the frontline. Then match their experiences with the results from the numbers you have collected. Allow your team members to bring in different perspectives in analysing and interpreting data to create better marketing strategies.

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5. Use intelligent tools

Last but not least, find a tool that can help you maximise your retail analytics efforts. Pick up a tool that can help you collect, measure and analyze data all in one place. You should be able to spot long-term trends, track every metric, integrate with other tools or applications, and access data from anywhere you want.

Gain a competitive advantage with retail analytics

There is no denying that data can do wonders for a retail business. But, it is essential to note that data alone cannot do everything. You need the right analytics tools to extract the correct value from the data you have collected.

(About Author: Pranav Ahuja is the co-founder and CEO of Xeno)

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MAM

Nielsen launches co-viewing pilot to sharpen TV measurement

Super Bowl pilot to refine how shared TV audiences are counted

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MUMBAI: Nielsen is taking a fresh stab at one of television’s oldest blind spots: how many people are actually watching the same screen. The audience-measurement giant on February 4 unveiled a co-viewing pilot that uses wearable devices to better capture shared viewing, starting with America’s biggest broadcast stage.

The trial begins with Super Bowl LX on NBC on February 8, 2026, before extending to other high-profile live sports and entertainment events in the first half of the year. The goal is simple but commercially potent: count viewers more accurately, especially during live spectacles that pull families and friends to one screen.

The new approach leans on Nielsen’s proprietary wearable meters, wrist-worn devices that resemble smartwatches. These passively capture audio signatures from TV content, logging exposure to shows, films and live events without requiring viewers to sign in or self-report. In theory, fewer clicks, fewer lapses, better data.

Karthik Rao, Nielsen’s ceo, cast the move as part of a broader measurement push. He said the company’s task is to keep pushing accuracy as clients invest heavily in live programming that draws mass audiences. The co-viewing pilot, he added, builds on upgrades such as Big Data + Panel measurement, out-of-home expansion, live-streaming metrics and wearable-based tracking.

Co-viewing is not new territory for Nielsen, which has long tried to estimate how many people sit before a single set. What is new is the heavier integration of wearables and passive detection to reduce reliance on active inputs from panel homes.

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For now, the pilot comes with caveats. Co-viewing estimates from the trial will not be folded into Nielsen’s Big Data + Panel ratings, which remain the industry’s trading currency. Instead, pilot findings will be shared with clients a few weeks after final Big Data + Panel ratings are delivered. Clients may disclose those findings publicly.

More impact data will follow later this year. Full integration into Nielsen’s marketing-intelligence suite is slated as a longer-term play, with a target of bringing co-viewing into currency measurement for the 2026–2027 season. This is only phase one, with further co-viewing enhancements planned beyond 2026 and additional timelines to be announced.

The push fits a wider pattern. Nielsen has in recent years expanded big-data integration, adopted first-party data for live-streaming measurement and broadened out-of-home tracking. It also positions itself as the reference point for streaming metrics through products such as The Gauge and the Nielsen Streaming Top 10.

In a market where billions of ad dollars hinge on decimal points, counting who is in the room matters. If Nielsen can pin down shared viewing, the humble sofa could become prime measurement real estate. The race to count every eyeball just found a new wrist to watch.

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Delhivery chairman Deepak Kapoor, independent director Saugata Gupta quit board

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Gurugram: Delhivery’s boardroom is being reset. Deepak Kapoor, chairman and independent director, has resigned with effect from April 1 as part of a planned board reconstitution, the logistics company said in an exchange filing. Saugata Gupta, managing director and chief executive of FMCG major Marico and an independent director on Delhivery’s board, has also stepped down.

Kapoor exits after an eight-year stint that included steering the company through its 2022 stock-market debut, a period that saw Delhivery transform from a venture-backed upstart into one of India’s most visible logistics platforms. Gupta, who joined the board in 2021, departs alongside him, marking a simultaneous clearing of two senior independent seats.

“Deepak and Saugata have been instrumental in our process of recognising the need for and enabling the reconstitution of the board of directors in line with our ambitious next phase of growth,” said Sahil Barua, managing director and chief executive, Delhivery. The statement frames the exits less as departures and more as deliberate succession, a boardroom shuffle timed to the company’s evolving scale and strategy.

The resignations arrive amid broader governance recalibration. In 2025, Delhivery appointed Emcure Pharmaceuticals whole-time director Namita Thapar, PB Fintech founder and chairman Yashish Dahiya, and IIM Bangalore faculty member Padmini Srinivasan as independent directors, signalling a tilt towards consumer, fintech and academic expertise at the board level.

Kapoor’s tenure spanned Delhivery’s most defining years, rapid network expansion, public listing and the push towards profitability in a bruising logistics market. Gupta’s presence brought FMCG and brand-scale perspective during a period when ecommerce volumes and last-mile delivery economics were being rewritten.

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The twin exits, effective from the new financial year, underscore a familiar corporate rhythm: founders consolidate, veterans rotate out, and fresh voices are ushered in to script the next chapter. In India’s hyper-competitive logistics race, even the boardroom does not stand still.

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MAM

Meta appoints Anuvrat Rao as APAC head of commerce partnerships

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SINGAPORE: Anuvrat Rao has taken charge as APAC  head of commerce and signals partnerships at Meta, steering monetisation deals across Facebook, Instagram and WhatsApp from Singapore. The former Google executive, known for launching Google Assistant, PWAs, AMP and Firebase across Asia-Pacific, steps into the role after a high-growth stint as chief business officer at Locofy.ai.

At Locofy.ai, Rao helped convert a three-year free beta into a paid engine, clocking 1,000 subscribers and 15 enterprise clients within ten days of launch in September 2024. The low-code startup, backed by Accel and top tech founders, is famed for turning designs into production-ready code using proprietary large design models.

Before that, Rao founded generative AI venture 1Bstories, which was acquired by creative AI platform Laetro in mid-2024, where he briefly served as managing director for APAC. Alongside operating roles, he has been an active investor and advisor since 2020, backing startups such as BotMD, Muxy, Creator plus, Intellect, Sealed and CricFlex through a creator-economy-led thesis.

Rao spent over eight years at Google, holding senior partnership roles across search, assistant, chrome, web and YouTube in APAC, and earlier cut his teeth in strategy consulting at OC&C in London and investment finance at W. P. Carey in Europe and the US.

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