Friday, July 27, 2018

Book Review 4 - Give & Take by Adam Grant

Just finished my 4th book of 2018 - Give and Take by Adam Grant. This book is an interesting view on relationships in life with people and how patterns emerge in 3 types of people - Takers, Matchers and Givers. Takers are always driven by thier own selfish motives, trying to get to the top by powering  themselves over others. Givers are those people who help, mentor others; who take interest in others' worlds to better and overall pull everybody up. Matchers are people who give and take in equal amounts with a propensity to match. The obvious hypothesis is that Givers are the last ones on the success ladder.


The book challenges that hypothesis with real life examples from Startup capital to hollywood; and discusses learnings on how givers excel everywhere. It systematically discusses the benefits of giving and pitfalls to avoid to become a 'successful giver'.


Some key gems from the book -

1. Givers dont network like networkers do at networking events. They have a genuine desire in contributing to others and thus thier networks are stronger. The quality of conversations lead to depth of relationships which they tap at any point of time. And as the interactions are genuine, even dormant ties when reconnected lead to poistive outcomes vs takers who sort of burn bridges. Eg Adam Rifkin, rated as largest networker on linkedin.

2. Givers are so genuinely interested in helping others; when they work in a team they dont have a 'claiming' desire; thus they give collaborate well with others. Takers on the contrary again in a desire to move ahead, do it once and people dont want to work with them again. Thus, the power of collaboration takes them much ahead even in occupations dealing with innovation, creativity or medical surgeries etc. Eg. George Meyers, man behind Simpsons.

3. Givers practice powerless communication at times to connect with audiences vs takers powerful speeches. The audience find them normal human beings with some flaws and somebody who listens more, making them open up well vs a deft speaker delivering speeches like a monologue. The book talks about several examples from sales where givers were top achievers because client felt safe with them. They felt that the salesman has a genuine desire to help rather than powerful fleecers or takers.

4. Despite these huge benefits, where givers fail is that they get 'used' extensively like doormats by takers or they burnout while indulging in selfless service. Its when the author brings about ways to avoid these pitfalls. 

He suggests Reciprocatory Rings as a method to deal with takers or matchers. He says takers avoid ditching people when their reputation is on the line or the act is in public. Takers show helping behavior if they are shown doing it. Thus, author suggests to have open help sessions where a person asks for help and volunteers have to raise hands to help. And as a rule everybody has to help at least one. 

5. Another pitfall is burnout out of excessive giving on account of selfless service character. Here Givers need to be 'Otherish' which means a behavior where you help but also enjoy and take care of your interest as well. This develops when u get driven by something which is good for ur individual success but also is must do for others. Eg. As a giver, you might not want to achieve ur own target in sales but help others as u dont want that much money. Givers switch off and loose out here. However, if u also think about ur family and thier needs, suddenly u dont feel guilty but motivated to achieve ur target. Thats 'otherish' behaviour.

Its a very good book on behavior and people who deal with people on a daily basis, its a must read.


Tuesday, July 24, 2018

Apple in world's most challenging yet fastest growing economy - India

Given, #Apple is in its difficult moments in India, from the market share numbers becoming half within a yr, its a classic dilemma for a #luxury product to choose between -
1. Higher #volume strategy at cost of discounts on old models and democratise the brand, and in the process of making it affordable, take off its 'inaccessible' luxury tag
2. Higher #profitable low volume strategy with fixation on insane pricing to keep it only for chosen few.

With huge chinese competition from likes of #Oneplus or even #Samsung,  offering near similar specs at one third price; the #marketshare has halved and is declining, though volumes are steadily increasing (though less than market growth rate).

At this juncture, answers might lie in the history and origins of the brand. Is it like an IBM or not? It started with innovation as the centrepiece of its strategy, breaking the conventions.

In recent times, #Apple with its 10 or even 7,8 versions has been incremental changes on the same base level. The brand needs a new breakthrough to surpass competition once again...and with the culture put in by great #SteveJobs, it sure will. But it has to go back to its roots. #Disrupt.

A phone that can be a lot more than a phone? Or less? Why such big screens that dont fit in pocket? Project and work? Less radiation, more life? Its an apple, it gives #life!
#marketing #consumer #apple

Wednesday, July 18, 2018

Artificial Intelligence going Fashion Street

Watched a movie recently, MoneyBall wherein a baseball manager starts picking his team basis results of a computer algorithm created by a geek. And then the team wins successive matches and sets a record for successive wins in the history. And its a true story.

I wondered how come computer algorithms can predict success so much that coaches/selectors who have played the game for years start becoming irrelevant. People who have been there and have gathered that knack of identifying the hidden potential, can be replaced for the better, efficient and faster Artificial Intelligence driven programs.

However, this is getting real and real today. In my industry of fashion too. Yes, an industry which runs on WGSN trends and worldwide fashion walks trends with hordes of designers and fashion pundits and critics giving thier magical crystal ball predictions of future trends and fads. And all the fashion magazine editors, and retailer feedbacks and planners' output will get replaced with what a piece of code can do. And its here. Now. I digged a little on this and found its happening in India as well.

Closer to home in India, ecommerce companies are having a huge gold mine of data of consumer purchase as well as browsing before purchase. Myntra for example has launched multiple brands like Moda Rapido and Here&Now where the design are predicted basis software's suggestions after mining thier database (together as Myntra, Jabong & Flipkart, they claim 70% online fashion market share) as well as crwaling some thousands of fashion blogs and feeds of social media platforms like instagram. Called as Rapid, this technology would come up with a list of attributes: types of collars, sleeves, cuts, colours and other features currently popular with customers and suggest designs to make.

And they claim huge improvements in sell thru(s), so much so that bulk of thier private labels will start working on AI based trends now.

And then there are global players like Amazon using AI-fashion integration by developing an AI fashion designer. The algorithm learns about a particular style of fashion from images, and can then generate new items in similar styles from scratch.

As per online news articles, i found that an Indian designer brand is using IBM’s cognitive tool Watson to map the future of Bollywood fashion by combining analysis of over 600,000 images of fashion runway shows and Indian couture.

In US, a fashion brand called StitchFix, is solely created out of AI predicted designs for different kinds of customer. The styling service has algorithms to predict what styles people of which profile prefer.

Wow! And imagine the impact in terms of how AI can help brands and retailers with predictive forecasting, capacity planning and merchandising. Issues of unsold inventories, deep discounting, 4-6 months of design to inventory cycle, all getting solved by AI.

How paradoxical it is now. Something as creative as fashion is now predicted by a machine! Is it like a victory of geeks over the fashion pundits? Time will tell.

I am an engineer by the way!

Sources - https://www.livemint.com/AI/tdxtlGYRklB16h8rWj7A2H/How-Artificial-Intelligence-is-empowering-designers-in-India.html

https://www.livemint.com/Companies/tchtq74FOkMM43szMIHh0M/At-Myntra-machines-tell-designers-how-to-make-clothes.html

https://www.businessoffashion.com/articles/news-analysis/how-algorithms-are-threatening-fashions-white-collar-jobs

Tuesday, July 17, 2018

Mobile Wallets - A source of valuable data for e-Retailers

Movement towards Mobile #wallets and complete digitization is on its way. Post #Demonetization, now there is month on month drop in ATM transactions and cash withdrawl while usage of wallets and card transactions are growing.

Consolidation is on cards in wallets space as biggies jostle for acquistions of fintech players. From #paytm, #freecharge, #mobiqwik to #amazonpay and #phonepe. Post consumer acquistion thru cashbacks, now players are pumping money into offline retail space where paytm's reach is unmatchable.

And to acquire large number of merchant POS to enable forced adoption of a wallet; there will be more partnerships of the likes of #zopper. May be partnerships in space of loyalty aggreggators like capillary, quicksilver, easyrewards which have large POS reach with these wallet players will pave the way for next chunk of transactions acquisition.

And its evident with monies being  pumped in India by likes of #Flipkart/#Amazon. Why not? #Payment is key to #Purchase as well as #POSdata leading to insights in buying behaviour and patterns to create better #selection making the commerce efficient and profitable.

No wonder why wallets space is so hot; and ATMs are dying. See all 3 news in one place; telling the #story of #money getting #digital.

Thursday, July 12, 2018

Disruption = Marketing + Technology

Marketing + Technology intersection will be the breeding ground of disruption in 2018. As per a study by Hansa Cequity/ET, the priorities of marketing men are clearly shifting from plain story telling to a larger play of #technology aiding #marketing mechanics & decision making.

The dominant directions as per study are - #Martech investments and #Customer journey Mapping. The tons of data (POS + Social + web analytics + text/voice search + location behaviour) is going to pave the way for the next disruption.

Brand custodians of today need to define segments basis a lot more dimensions. A consumer today is leaving a behaviour trail everywhere - 1. where he goes and at what time (#geo+#time targeting)
2. What he watches/reads at what time (#search/on-demand #content (youtube/netflix)
3 Where and how much and how #frequent he #spends (offline payment details/online cookies)
4 what he buys and across what all #categories (POS data + aggregater payment info (wallet usage))
5 what are his #habits (search + app download history)

Eg, #Ola/#Uber knows everyday which all places i visit and can predict. They can give me food/shopping deals in my destinations?

A #runkeeper can offer me shoes replacement deal basis my km done on app.

An #airtel TV can send me hourly #dominos pizza offers basis my binge watch/recording habits.

A #paytm can sell me a yearly subscription deal with cashbacks basis my recharge frequency on mobile.

A #looks salon can send me hair treatment offers just when i need one basis my history..

An FMCG brand can marry search data + POS data to predict purchase trends and push sweeteners accordingly.

A siri or alexa searches database can tell you a great deal about what drives a family conversation...much more than psychographics estimation in classical marketing..

Future from a speilberg movie is here.


#technology #marketing