Taming the Data Deluge

Marketers and consumers struggle with the volume of data the world now generates. David Benady asks how the two sides can jointly control the tide, including the advent of brand ‘data stores’.

Data is inundating the economy, overwhelming consumers and businesses with swathes of information that they struggle to comprehend. The overload is set to spiral as social media, mobile and geo-location technologies spew forth yet more reams of data.

With billions of web searches made every month, more than 20,000 new books published weekly and more texts sent daily than there are people on Earth, data is increasing exponentially. The number of exabytes (EB – equal to 1bn GB) of information created in 2011 hit 1750, double the 2009 figure, according to IDC estimates. There is twice as much data as storage capacity.

This torrent of data makes it hard for marketers to ensure their brand messages are heard above the noise. Consumers have become reluctant to open the floodgates to receiving more irrelevant information, and some are wary of providing personal details.

Research company TNS has analysed the way in which consumers ‘eat’ at this table of information and created five consumer segments based on their readiness to absorb data. It calls the data deluge ‘information obesity’, and looks at the way people create their own ‘eating plans’.

You are what you ‘eat’
‘Fast foodies’, it says, consume the easiest, lightest data they can find. ‘Supplementers’ devour as much information as they can. ‘Carnivores’ consume only meaty chunks – whole books and in-depth research. ‘Fussy eaters’ are loath to consume information from any source, while ‘balanced dieters’ never consume too much information; what they do take comes from a variety of sources.

TNS marketing sciences director Russell Bradshaw says these ‘eating plans’ are a good way for marketers to target resistant consumers. ‘By understanding the predominant “eating plans” that exist among their brand franchises, brand managers and chief marketing officers have a tool for maximising the reach, resonance and values of their campaigns,’ he says.

TNS analysis suggests that ‘carnivores’ are more likely to shop at Marks & Spencer, while ‘fussy eaters’ tend to stock up at Asda. This gives M&S leeway to bolster its communications, giving customers big, meaty chunks of information they can savour slowly. Asda, meanwhile, would do well to deliver information in bursts and offer online nuggets such as tweets to appeal to voucher-hungry customers.

Marketers acknowledge that segmenting consumers by their propensity to consume information can be useful, but many see it as an add-on to the already tough task of identifying relevant audiences.

David Torres, global manager of chemicals technology at Shell Research, says that Shell intends to embed the TNS eating plans into its work, adding that brands need to search the data they have for clear and relevant insights.

Meanwhile, Stephanie Maurel, head of retention at Sport England, says the ‘eating plans’ could be useful if blended with other tools. ‘The TNS data obesity segmentation makes a lot of sense and rings true anecdotally. It is a great idea to segment by the information consumers are prepared to receive, although perhaps this is an extra step to be added to current tools,’ she adds.

Maurel’s role at Sport England is to use data to help various sports’ governing bodies to increase participation and attendance, a challenge for smaller sports, such as hockey. One solution is to take data from grassroots sources, such as social media, and integrate it with i n fo r m at i o n from elite sports events.

While small sports may be unsophisticated when it comes to data collection, Maurel says some governing bodies are using real-time data to build their popularity.

British Cycling, for example, gets feedback from locally organised Sky Ride mass-cycling events and feeds it through to its board meetings. This, in turn, helps it shape the way in which Sky Rides are organised.

For many brands, the UK’s data-chain is dominated by retailers. They control the all-important information about sales, which they then sell back to brandowners. Nonetheless, retailers, too, are suffering from information overload, according to Chris Osborne, retail principal at software supplier SAP. A recent survey by SAP found that more than half of retailers believe they have more information than they can handle. ‘Structured’ data – such as till receipts showing items purchased, times of day, quantities and prices – has been around for decades. Osborne advocates combining this information with ‘unstructured’ data – such as the random chat of social media – as the next great challenge for brands and retailers.

The prize will be to build a total view of each customer’s likes, behaviour and loyalty, and target offers accordingly. A crucial step is ensuring both types of data are gathered and acted upon in real-time.

Osborne believes the development that will enable this is ‘in-memory’ data analytics, where the data is stored in the computer’s memory for quick retrieval, rather than on a conventional database where it is stored on a hard disk, making it harder to access and wasting capacity.

He envisages a two-track economy where success will depend on efficient use of data. ‘The retailers that win out will be the ones that are very careful about how they use data and don’t swamp consumers with irrelevant offers,’ adds Osborne. ‘Retailers that create competitive advantage are (also) careful about how often they communicate with consumers.’

Useful data vs ‘noise’
Given the retailers’ iron grip on data, some brands have turned to comparison website Mysupermarket.co.uk to gain access to information about their own performance through mini-shops on the site. Reckitt Benckiser, Kellogg, Danone and Nivea are among those to have created such stores.

James Foord, vice-president of business development at Mysupermarket.co.uk, says brands are only just beginning to grasp the distinction between ‘data noise’ and what is useful. The site allows brand-owners to create a direct relationship with consumers and thus control their data. Brands can analyse the battle between their products and stores’ own-label versions, for example – data retailers rarely release. ‘This is the tip of the iceberg of what is possible. Brand stores will open up a whole new level of insight that has real value,’ adds Foord.

The battle for data control is about more than simply capturing as much information as possible and keying it into a database. Finding ‘smart’ data can save time and money in research and bring significant benefits for brands. The challenge is to find the pieces of information that help a brand locate its best customers and give insights into their motivation for buying a product.

Mike Dodds, chief executive of integrated agency Proximity, recalls a cat-food brand’s CRM programme in which customers were questioned about their behaviour. The question that delivered the best data was: ‘Do you celebrate your cat’s birthday?’ The responses helped the brand discover the most involved and valuable customers.

A potential barrier to the development of data-driven marketing will be consumers’ attitudes to privacy and control of their personal details. The online giants, such as Google, Facebook and Twitter, have built their businesses on getting users to give up their data in return for ‘free’ services. If the public refuse to play, this could put a spoke in the wheel of the data economy.

Chris Combemale, executive director at the Direct Marketing Association, says brands have to be upfront about privacy and make their policies simple and readable: ‘If you can’t put the policy on one page and make it clear, you have an issue.’ He also warns brands to avoid being ‘creepy’ online – by serving ads based on details consumers thought were private – which, he argues, can make digital marketing appear intrusive.

Modern marketing is essentially a battle for data. However, consumers themselves have the ultimate weapon: to switch off and stop sharing their information.

Technology was supposed to make life easier, but, in reality, it has made the world far more complex. The task of creating marketing campaigns that get heard above the din will only get harder still in a society deluged with data.

Marketing © Brand Republic
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Tech Drives Growth in Grocery E-tailing

Supply-chain tech helps to reduce cost & inventory and predict user behaviour

Everyday, I learn something new,” says R Rammurthy as he picks up a netbook, an Android tablet and a paper-clip file before climbing onto the driver’s seat of a white Maruti van loaded with four neatly packed baskets of grocery and vegetables. As he slips into first gear, he pointed to the netbook screen which displayed a map where the vehicle’s number flashed. The on-screen status of the vehicle changed from idle to moving and the address to which the baskets needs to be delivered popped up.

Rammurthy’s trip ended nearly twenty minutes later at the doorsteps of a customer– mother of a three-year-old who hates to spend the little spare time she gets during weekends at the supermarket. During the drive, the 28-year-old management graduate, who now handles a small team for online retailer Bigbasket.com, started explaining how his company manages to keep near-zero inventory and fulfils hundreds of orders everyday.

Online food and grocery retailing, fairly mature in the West and showing lot of potential in growth markets like China, has not been able to capture the fancy of Indian shoppers yet. Things, however, may be changing as a new generation of wellfunded online firms — Bigbasket.com is a key example — are using simple end-to-end technology solutions to offer deep discounts on grocery items, predict customer behaviour and keep a tight leash on expenses. With technology playing a key role, they are trying to make a dent in the estimated $343-billon food and grocery market in India.

For example, these firms use a supplychain technology that allow customers to place orders through multiple channels and later predict what a customer is likely to order. Combined with applications that track everything from the time an order is placed to delivery and devices that help during procurement, technology is helping these firms to make a compelling and convenient offer to the tech-savvy shopper. For these online retailers, the most important tech application is the ability to predict customer behaviour which lets them reduce inventory and thereby, cut costs. For instance, while a traditional retailer might have to stock his monthly offtake of atta at least three weeks in advance, an online retailer ends up stocking it for less than two days. “That is mostly analytics,” says Ambuj Jhunjhunwala, the founder of Mygrahak.com which sells food and grocery online in Delhi. Predicting customer needs helps them to plan in advance and procure based on needs. Need-based procurement works ideally well with perishable goods like food not to talk about saving expenses on storage space, which is a large part of expenditure for a traditional retailer.
Analytics also involves knowing the customer better which helps retailers to make tailor-made offers for customers and increase sales. Online retailers can also eliminate a large part of their frontline staff because customers usually help themselves. Typically, large format brickand-mortar stores spend much of their attention to figure out customer behaviour on the shopping floor and arrange goods so that they catch customer attention. This can now be automated as the platform generates enough data about individual preferences. “You have complete control over knowing what your customer is buying and great level of predictability. The stickiness of forecasting can go up as you use technology to predict,” says Anand Ramanathan, Associate Director at KPMG.

Shoppers, whose experience of buying grocery online has been good, tend to very loyal. For example, Asha Liju, a clinical research professional from Bangalore buys her grocery online. “This is the second time I’m buying online because its simple and saves me nearly 10 kilometres of travel,” she says.
Here again, technology plays a key role. Grocery buying is mostly a repetitive task something technology is known to do well. For instance, when a shopper logs into the account, a history of previously bought items makes it easier to pick instead of going through the motion all over again. “At each step, simple technology is helping us save time and money,” says Abhinay Choudhary, co-founder of Bigbasket.com. Bigbasket.com, which now has 100 people on its rolls, will supply anything from milk products to fresh fruits among 7,000 other items at your doorstep at competitive prices within a few hours of placing an e-order. “Our delivery vans even have cold storage facilities. This is very new but if we do it right, it will be big,” says Choudhary. His earlier venture was shopasyoulike, a similar food and grocery store catering to residents in Whitefield, Bangalore.

25-year-old Jhunjhunwala’s Mygrahak.com now claims that they process nearly 15,000 orders a month. “The average order size is Rs 1,250- Rs 1,300 . We can at least grow 30 times in Delhi alone,” he said. He recently introduced “card on delivery,” where a customer can swipe their cards at the time of delivery to pay for the order. Jhunjhunwala comes from a family of entrepreneurs and returned to India after graduation learning how to do business from his family, the promoters of BSE listed REI Agro.Chennaionlinegrocery.com, Town Essentials and Atmydoorsteps.com also operate in this space. Scale might not be an issue as demand from a large working population, which finds frequenting supermarkets an irritant, grows.
Investors also seem to be buying into the grocery e-tailing story. Last month, private equity firm Ascent Capital invested $10 million when Bigbasket.com co-founded by a team of eight which includes Fab-Mall co-founders Hari Menon, VS Sudhakar, Vipul Parekh, VS Ramesh and Abhinay Choudhary, raised its first round of institutional funding.

The food and grocery market accounts for over two thirds of the $505 billion Indian retail market. According to retail consultancy Technopak, the retail market is projected to touch $725 billion by 2017. The organised food and grocery retail market in India is estimated at $ 12 billion in 2012 and grow at a compounded rate of 30% over next the five years. “Though e-tailing is still a very small part of retail in India it is projected to grow at a fast pace and over the next decade its presence will be significant,” said Pragya Singh, Principal Consultant, Retail & Consumer Products, Technopak. Headroom for growth comes from the fact that that e-tailing accounts for a measly. 2% or $1 billion of the overall retail market and it is expected to reach $13 billion by 2017.
But retailing food and grocery online is not an easy task. Though there are success stories, the monumental failure of Webvan in the United States back in 2000 is enough to act as a damperner.

The challenges include being able to give consumers a large number of products to choose from, achieving consistency in quality especially when it comes to perishable goods and the cost of logistics. For instance, Mygrahak’s Jhunjhunwala has already invested $1 milllon in the firm and anticipates an expense of $4 million to $5 million every time it moves to a new city. While critics often cite the example of Webvan, the story may not repeat in India. Webvan may not be the best benchmark, argues Singh. “It is an example of a company that grew too fast in middle of the dotcom boom, rapid expansion to multiple cities, gigantic infrastructure including warehouses but not enough sales to back the same,” she said.

Even as its spends Rs 150- Rs 400 to acquire each customer, Mygrahak.com will break even this Diwali, claims Jhunjunwala. Despite the rosy numbers, e-tailers looking to sell food and grocery might have to expand cautiously, suggests Technopak’s Singh.
The Challenges 

* Achieving standardisation in quality and quantity when a large part of grocery items are still sold loose in India

* Having a comprehensive product range that covers all possible variations

* Delivery across large parts of urban and semi-urban areas

* Sensory needs of consumers are not satisfied through online channels
Fulfilment and logistics costs

Eye Tracking Tool for store interaction between consumers and the shelf.

Most purchase decisions are made at the shelf during just a few critical seconds. The ability for a product to attract shoppers’
visual attention has a strong influence on the choices they make – products that are unseen are often unsold.

What do I get out of eye tracking?

Eye tracking provides unique methods to understand in store interaction between consumers and the shelf. Collect new insights about attention, saliency, interest, gaze path, and impact of brand, packaging and placement. Measure spontaneous reactions and behaviours and avoid results biased by familiarity or the social desirability effect.

Do shoppers see the product on the shelf?

A heat map gives an aggregated view of how several respondents looked at a shelf. By using the AOI tool and the Participant % metric in Tobii Studio you can reveal the percentage of the respondents that look at least once at a specific product.

Eye tracking is a powerful tool for developing, assessing and improving packaging systems:

  • raise the find ability level
  • foresee the effects of product line extensions
  • determine when packaging changes are advisable
  • test packaging attributes for belongingness into a specific product category
  • benchmark the design against product properties
  • understand the decision making process

source: http://www.tobii.com/market_research_usability/research_fields/retail_shopping.aspx

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