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Online store in India
I am planning to start an online apparel store :
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Is it good to start with a niche targeted sites like
watches- tshirts-etc

or a multi store like all products listing in a single site ?

Which one would have a great chance of success? would love to hear some ideas from experienced candidates in apparel stores?

Will there be any additional benefits with SEO if have multiple niche sites ?
I am going to target only in India. 
Shopify ...woocommerce which one is good to go ahead with for easy payments for India especially.
 
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If you want simplicity go Shopify else woocommerce

Don’t be discouraged, if each keyword doesn’t have much search volume you just need to add all variations of the keyword to increase the reach.

Brand Search (PC & Mobile)

Many advertisers include their brand name in the keyword list. With Naver, you can use their brand search to guarantee the placement of your ad at the top 

of the search results.
The cost is calculated based on the duration and impression of the ads.

A Quick Guide to Non-Google Search &#038; Display Ads in AsiaNaver Brand Search Results Example
Display Ad (PC & Mobile)

Naver has several types of display ads including Time Board, Rolling Board, and Mobile Banner Ad. Each offers premium placement of the ad on their site with 

audience targeting options.

Yahoo Japan

I still come across non-Japanese website owners, who believe that they can advertise on Yahoo Japan through their Yahoo campaigns, but they are 

misunderstanding the relationship of the two.

If you wish to advertise on Yahoo Japan, you need to set an advertising account directly with them, not with Yahoo in your country.

Yahoo Japan is one of the most popular search portal sites in Japan. According to their report, they have about 70% reach of desktop users and 90% of 

smartphone users in Japan.

The truly staggering amounts of data we’re creating every minute of every day.
And the pace with which we’re doing so is only accelerating with the growth of the Internet of Things (IoT).
With everything from clicks to swipes, tweets to likes, we are today compiling information at an unprecedented rate.

For companies, all of this data brings new opportunities.

Marketers can use the data to:

Develop trend recognition.
Attract new customers.
Ultimately create previously unforeseen efficiencies in their programs.
Up until just a few years ago, businesses of all sizes were in a position to decide whether they wanted to use data to gain a competitive advantage in their 

respective marketplaces.

In the world of business, there is a constant vying and jostling for customers.

Data is everything – and more.

Executives and practitioners uncover analytical techniques to turn the data available to them into actionable insights. The more one knows about their 

business, the better the decision-making and performance.

The sheer power of a data-driven marketing approach has been a much-covered subject.

In a study conducted by Andrew McAfee and Erik Brynjolfsson with Harvard Business Review and MIT, it was revealed that:

“[C]ompanies in the top third of their industry in the use of data-driven decision making were, on average, 5% more productive and 6% more profitable than 

their competitors.”

Pretty compelling numbers.

The Welcome Problem of Too Much Data

What does all this mean, then?

Do marketers need to quickly enroll in night courses covering statistical programming and computation techniques to help them explore and decode large data 

sets?

Well, the answer, in short, is no.

No, they don’t.

Thankfully, with this abundance of data has come the emergence of strategies and technologies.

Performance marketers can take advantage of these to automate some of their processes and drive significantly better business outcomes.

The multi-disciplinary field of data science is chief among them – empowering marketers to combine various data sets and decipher the variables in their 

campaigns that are having the biggest impact on performance.

To paraphrase Steve Jobs, it’s like a “bicycle for the mind”, essentially helping humans increase productivity and output.

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