Showing posts with label Analytics. Show all posts
Showing posts with label Analytics. Show all posts

Saturday, July 23, 2016

Latest Design Trends for eCommerce Websites

eMarketer predicts that the overall B2C eCommerce deals will increment by 20.1% this year to reach $1.500 trillion. While in 2012 the U.S. retail e-trade deals added up to USD 225.5 billion, they are anticipated to develop to USD 434.2 billion in the year 2017.

There is an extraordinary development in the eCommerce business and it is clearly likewise experiencing a considerable measure of changes – because of online networking, changing purchaser propensities, new advancements, expanding web infiltration, and new gadgets like mobiles and tablets.

There are sure outline patterns we have been taking after, which are particularly pertinent for eCommerce industry -

#1: Level Outline


Level outlines are not new, but rather more eCommerce sites have as of late begun fusing these. Oversimplified outlines make the items the legend of the site – as opposed to mistaking clients for extravagant catches and different choices, the emphasis is on the photographs of the items.

#2: Responsive Outline


Do I have to say more here? A responsive site is quick, lively, acclimates to the client's screen, stacks quick, requires negligible looking over, it is clean and simple to explore – everything an eCommerce site requires. With expanding buyer exercises on cell phones, eCommerce sites should be obligatorily responsive. For littler retailers, who can't manage the cost of select versatile applications, responsive sites give the most possible choice. With the right utilization of typography, substantial pictures and recordings, responsive site can be made exceptionally appealing and can help in boosting deals.

#3: One Page Content



Because of shorter capacities to focus and part of diversions all around, purchasers today are investing almost no energy in one site. They don't have time or persistence for moderate stacking pages. They would prefer not to "pursuit" for substance which is spread over numerous pages. Add to that the simplicity of looking on touch gadgets. Every one of these components have made the pattern of having parcel of data on single page exceptionally famous. Continue demonstrating the items as the client looks down and the guest is unrealistic to drop from the site.

#4: Recordings and Huge photographs


Video is the following enormous thing – particularly in eCommerce. As per ComScore, customers are 64% more inclined to buy an item in the event that they see a video of it on your eCommerce site. It just about makes an ordeal of a business partner disclosing the item to the purchaser. Recordings can likewise be effectively utilized as instructive devices for giving master counsel, tips.


An A/B test keep running on the site MALL.CZ, the Czech Republic's second biggest ecommerce retailer, found that utilization of bigger pictures expanded the deals by 9.46%! No big surprise eCommerce destinations are giving awesome significance to huge and clear pictures with extra choices for zoom-in so that the client can get a complete thought regarding the item plan, composition and so on.

#5: Attempt Items and Personalization


In the time of personalization, shoppers are searching for selectiveness. Numerous eCommerce destinations are attempting to go that additional mile to permit clients to customize their items by offering the adaptability to plan the item according to particular prerequisites.


Buyers may whine about not getting the genuine feel of the item or stress over how it might look on them. There are new applications which are getting the pattern which permit clients to have entry to "Virtual Mirror". Clients can just switch on the camera and perceive how the item will look all alone picture!

Have you watched any such patterns? Do share your perceptions
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Tuesday, April 12, 2016

Big data, marketing and decision-making – what is it all about?

Last week I got asked if I know about big data and how you use it in digital marketing. Yes, of course, I do. I’ve been using big data for years when analysing numbers from websites and social media.

I’ve also been fortunate to speak at many conferences where some of the speakers are fully trained ‘big data ninjas’, and I’m lucky to know some of them personally.
Big data is complex information, and it feels as overwhelming as a huge waterfall. It’s only if you present big data in a meaningful way it helps you to make better decisions.
Big data is inconveniently big. It’s hard to handle. Impossible to overview in its raw form.
On Wikipedia, you read: “Big data is a term for data sets that are so large or complex that traditional data processing applications are inadequate. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, querying and information privacy.”
An acquaintance who is responsible for all digital marketing for a large hotel chain in the US told me about her struggle to start to look at numbers when making decisions. For years, they had been making most decisions based on prejudices, personal experiences, and their ‘gut feeling’.
Every hour their hotels have thousands of guests who are in touch with them, either online, over the phone or staying in one of their large hotels. The information they collect about their customers is big data.
The information they have about their guests comes in many forms. Some are internal data, and some are external. You have access to the data that you asked your guests for before their visit and during their stay, and then new random data that you collect from your guests.
Their challenge was to use all information they have about their customers in a meaningful way so they could make better marketing decisions. To kick this off, they spent several days in a large conference room trying to figure out every possible touch-point that their customers have with them. What they got was a big complex map that told stories about their customers. The map was not easy to overview, or understand. The next step was to set up data collection points that they could follow and then also improve everyone’s web analytics skills.

Analytics is a vital phase of the big data cycle. The most common tools marketers use is Google Analytics, and it tells you about your website visitors. With the help of this information, you can understand what was successful in a campaign and how many online leads it gave. You can analyse your conversion rate, and see how many visits lead to a sale or an inquiry.
It’s when the data shows you meaningful pattern that you can do something with it. To see those patterns in an excel spreadsheet can be hard. That’s why you use visualisation software to do this, there are amazing and beautiful tools that magically help you visualise data.
To start using web analytics in a meaningful way took a while for the hotel chain. It’s not a one-month projects, but more like an on-going continual improvement project where everyone has to be open for new learning and share their knowledge.

Five examples of big data in daily life: 

1) The Panama leak was a big and complex project with 11 million documents. And to understand them better, see the pattern the journalists used big data visualisations tool. They used Neo4j and Linkurious to follow a pattern and see where the money went.

2) Eye on the Reef program – people, are helping scientists to find out what’s going on with the reef by sending them updates.




There is so much to be discovered. Last time when I visited my local GP, or ‘house doctor’ as you say in Swedish, the nurse told me that they keep track on patient’s blood pressure, ‘they give us a call and share their blood pressure weekly, and we add it into the patients journal.’ Right now they collect the information manually. In the future, it will be done over a digital application on your smartphone, and you may send it to your doctor if you wish to.
We will use new personal digital technology in the future. We already have the fitness bracelet and different health apps. We will track all kind of body functions, sleep, movement, pulse, blood pressure, periods, hormones, blood, saliva, and weight. Then we will connect this with our smartphone, and start to see graphics and other visualisation tools, and share this with our doctor. There is a lot of medical issues that you can keep track of and prevent this way.
With so many new digital devices we are collecting and storing more data than ever. One question we need to ponder is how we will use it, and how it can be helpful. More tracking tools will be developed, it will give us more data, and they may help us to make better decisions.
How many people who are working in digital marketing are big data ninjas? Not that many, unfortunately. Big data is complex, and by collaborating and sharing skills you can explore what it means to your organisation.

Read more about big data here.
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Saturday, April 9, 2016

Apple Isn't Done Quarreling Over Protection, Judge Close Down $12.25M Lyft Settlement, Twitter Makes an Assorted qualities Child Stride

Continue battling, Apple: A judge denied the administration's solicitation to have Apple help them get information off another iPhone—the Brooklyn street pharmacist case that has constantly undermined to recharge the security discussion. Today the administration reported that it will claim the court's choice, in spite of the fact that it's positively not a shoe-in for the DoJ. Particularly after the administration discovered different approaches to get into the San Bernardino shooter's telephone, it'll harder for them to contend that they require Apple to get into this other one.

The temporary worker question: Lyft was wanting to settle a case around its self employed entities for $12.25 million—a sum that the judge has managed too low to take care of drivers' mileage costs. The drivers were battling to get worker arrangement, and a settlement "would have just required Lyft to make the installment and concur not to end drivers voluntarily, while likewise giving drivers notice in the event that they are in threat of being pulled off the framework." Lyft has until May to present a changed settlement proposition.

Anything twitters: is battling the "nation club of old folks" impression of its board with its most recent arrangements—well, halfway. The organization is including Hugh Johnston, CFO and Bad habit Executive at PepsiCo, and Martha Path Fox, prime supporter of a travel site and crossbench peer on the UK's Place of Rulers. Diminish Currie and Dwindle Chernin will both be leaving the load up in May. Dorsey likewise says more changes are en route:

SpaceX has landed: SpaceX has effectively handled a rocket on an automaton ship. After four fizzled endeavors, one of the organization's reusable rockets has arrived on a maritime stage; this triumph implies it can at last cut expenses, as the primary phase of the Bird of prey 9 rocket will have the capacity to be reused, and it will empower high-elevation conveyances (which requires too long of a flight to return to arrive).

Merger whiplash: Shareholders for Starwood and Marriott affirmed the merger, which puts it on track to shut amidst the year. Anbang Protection Bunch had likewise been battling for Starwood, yet now the way appears to be clear for a Marriott takeover.
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