February 2016

Tuesday 23 February 2016

What we expect from budget 2016-17


On Monday 29 Feb we receive budget sweet n sour point for fiscal year 2016-17.  What I expect :-

1. #Budget efficiency for tax benefit to saving money
2. On investment in equity Markets don't increase tax slab... We already paid more
3. Again regular life, 
     * fair hike of Rail Ticket
    *  petrol Surcharges
4. Don't redirect burden of bank NPA to normal people's pocket.

Dear FM #Jaitely

This request  from daily earner,  salary getter.. 

Let's see...

How set Success Bricks for Data-driven Marketing


Here are the things that would set you up for success in data-driven marketing.

Content: The mantra ‘content is king’ is pretty well-established now, and you don’t need me to tell you the importance of great content in marketing. Smart marketers understand that they must deliver the right content—either content that they’ve created themselves or customer-generated—at the right time and through the right channels.  But many marketers are still puzzled or have different views about how to measure the effectiveness of the content.

However, there’s one thing that can’t be argued: if you do not have the right content to engage with your prospects/customers, measuring success becomes a futile exercise. You  need to know which customer segments you’re measuring, the content you’re using to offer them, and its purpose in the purchase cycle. And if you’re using advanced analytics tools, you’ll be able to target individuals or groups within companies, see where they are in the purchase cycle, and what content they’ve consumed—and shared.

It’s worthwhile sharpening your focus. For example, it would be pointless to measure the effectiveness of top-of-funnel  awareness content to audiences who’ve already signed up for a 30-day product trial.

Analytics can also help you identify the pieces of content that do well so you can make them work harder for you. For example, if you see that a blog series has worked well you could repurpose that content as an ebook offer or as materials for a webinar. By spreading the wealth of your content you’ll have more places to measure engagement.

An eye toward details: In digital marketing it’s important to understand the data plumbing—how things are set up, the data sources, if and how the sources are integrated, what data is being generated, how it’s collected, and how effectiveness is being measured. It’s worthwhile doing a quick QA of a campaign that is about to launch so that you can see the kinds of data you’ll get back.

As a marketer, knowing how multi-touch attribution works and understanding the underpinnings behind the attribution numbers is crucial. if you do not understand how data is collected then you cannot present your case to your stakeholders in a convincing manner. You will quickly find yourself on a back foot rather on a front foot leading a discussion.

I’ve worked with marketers in the past who had to defer to their IT partners when asked basic questions about how they were measuring success. I didn’t feel very confident in their abilities as a digital marketer.

Organization Structure: With as many as 70 percent of B2B buyers using digital media to complete more than half of the decision-making process before engaging with sales[1], it’s critical that your digital teams aren’t siloed. If your web analytic, marketing automation, and paid media marketing teams report to different business units, it’s hard to create an integrated view across the customer base. Even if you provide customers with a seamless experience when they deal with your organization, how can you expect to generate insights from those customer interactions if you don’t have an end-to-end, single lens for analytics tracking.

I have seen many marketing organizations in a perpetual state of re-org, which hardly generates value for the customer, let alone provide useful marketing metrics. Constant re-orgs lead to anxiety and confusion for team members that affect the overall productivity of the marketing organization.

Culture: Does your organization have a culture to succeed in the digital world? The most important element is bias towards taking an action. There are people from two schools of thought – one would say: “Bring the insights and recommendations into the meetings for the decision making. If you don’t, a decision will be made regardless.” Their decisions will be based on prior experiences or gut feel. The other would say: “I do not trust the data,” and demands to know where, how, and when the data was collected. This camp would refrain from taking meaningful actions and wasting organizational resources.

In my career, I have learned to work in an environment that has a bias towards taking an action.  Successful marketers learn from their mistakes and channel their energy on how to do things better next time.

Divergent vs. Convergent Thinking: Marketers who will succeed in the digital age are divergent in their thinking rather than convergent. Convergent mindsets mattered when marketing activities were inefficient. Convergent mindsets focus on developing business processes, project management and following the norms. Now, as marketing technologies, such as marketing automation gain popularity, we’re on the efficiency frontier scale. What we need is a divergent mindset to measure the effectiveness of marketing – how can we increase the online engagement and customer satisfaction score, and shorten the time it take convert prospects into paying customers.

What has been your experience as a digital marketer? I’d like to hear your views on the factors that are shaping marketing teams in 2016 and beyond.

Thanks to :- Anish Jariwala Oct 28th, 2015 Next-Gen Analytics Solutions and @Sam___Hurley

Note : Any suggestion you have , please mail me on prabhakara.dalvi@gmail.com

Data Analytics can Drive Business ROI for Marketers


Data is your friend

Two decades ago we saw the birth of the banner ad, produced by AT&T and hosted on the original website of Wired Magazine. Fast forward to 2015 and the multi-device digital world has led to Big Data. This is enabling marketers to really know their customer, especially as we move into the age of the Internet of Things. 

Soon, everything will be a device capable of collecting data that can be translated into valuable insights on customer behavior at the individual level. For marketers it makes response rates traceable in real-time, bringing marketing accountability and clear economic indicators as to the success of a campaign. Now is the time for marketers to start realizing the benefits and act upon them.

Data insights

Data-driven solutions can result in highly accurate insights into customer behaviour on desktop, mobile devices and social media. This is not ground-breaking news to marketers’ ears but the key is in the brand being able to properly analyse this data to use it to engage users in real time, thus improving marketing activity and ROI.

Take programmatic ad providers for example; a form of marketing born out of the digital age and it works big data to the advantage of brands. Through ‘dynamic personalized re targeting’ brands can engage users by personalizing content and banners in real-time on multiple devices. 

Through using these data-driven advertising solutions, businesses can increase click and conversions by more than 150 per cent, making your marketing budget go further and providing tangible results.

Having the ability to collect and analyse that data easily - and then turn it into actionable insights that feed back into the business is crucial in a world where there is so much information available.

Some programmatic advertising businesses can process 20 terabytes of data daily – that’s the equivalent of 40,000 hours of television downloads. This volume of data is huge, meaning that any data solution used must be able to cope with this sheer amount of data generated from the customers of today as well as the future. And data is only growing.

More data is always better and having access to this means brands can rekindle the interest of anonymous users for its clients through dynamic banners with truly customised product recommendations.

The importance of real-time

Brands now face the pressure of not only being able to analyse vast volumes of data in the first place, but also being able to do it in real-time. By identifying relevant data quickly, companies can improve their competitiveness and the performance they deliver to customers.

Happy customers = happy businesses = happy marketers.

Anything that takes over 12 hours to process is far too slow for today’s marketplace. Analytical results of complex information need to be presented as quickly as possible in order for businesses to be able to integrate the findings and inform their strategies. Otherwise you are acting on out-of-date information whilst your potential customer has already looked elsewhere and taken their custom to a competitor.

It’s make or break in the digital world

In today’s digital marketplace, having accurate data analytics can make or break a company. If analytical technology is not applied in the right way, brands risk being left behind and will struggle to remain competitive or even just keep up with the market.

By having that ability to apply complex data science methodologies, the brand can analyse and determine audiences’ interests and affinities with a truly relevant, personalised approach. When it comes to programmatic marketing, it also increases the quality and relevance of advertising generated in real-time.

The potential of data analytics doesn’t stop here for programmatic marketing; query times can be reduced for each consumer quite considerably, basket analysis, performance monitoring and reporting are now available in real-time and historical customer data can be saved for extended periods of time.

Most advertisers don’t have this functional ability to delve into this data and utilise algorithms to gain competitive advantage due to limited tools or a lack of understanding of the benefits. Analytics are usually limited to measurements of performance and understanding what an individual is doing on their website with most still only focused on performance and cost-per-click. But there is no need for them to understand the algorithm and underlying technology behind analytics, just how the campaign is performing.

As marketing and technology progresses, the CFO, CMO and CTO will come together with creativity backed by science and technology, creating real ROI. Brands and marketers have been talking about Big Data for a while, but the lack of confidence in whether it can truly deliver ROI and allow for accurate personalisation of messages is down to a gap in knowledge and expertise.

However, it’s not down to the CMO to become a data scientist and have a handle on the ins and outs of systems and numbers. There are predictive data analytic tools out there that can provide the detailed insights that CMOs are looking for, without the need to be a coder or tech expert. CMOs just need to know that it works and provides them with the relevant results that they need in an easily understandable format.

Top 5 tips for using data analytics in your marketing:

1. Ensure your data is clean – there’s no use analysing data if it is of poor quality. You wouldn’t expect great performance from a badly maintained car, so don’t neglect your data either.

2. Know what data you have and make sure you can access it all – to get a full picture of what’s going on, you need to be able to access all of your data. Make sure people aren’t storing data in siloed spreadsheets.

3. Have a clear goal in mind – figure out first what you are trying to achieve with your analytics before you embark on your analytic journey. Too often companies start analysing data without having a clear goal in mind.

4. Remain focused – there is a lot of data that you can do a lot of things with. Don’t try to do it all at once; keep your focus on what you are trying to find out and don’t get side-tracked.

5. Use the right tool for the right job – the term big data is thrown around and there are tools for just about every detail of analysing it. Once you know what your goal is, make sure you use the right technology to meet your objectives. 

By Sean Jackson, Chief Marketing Officer at EXASOL. and share by @Vebology - The easiest way to develop high performance Ecommerce website solutions for your business

Note : Any suggestion you have , please mail me on prabhakara.dalvi@gmail.com

Monday 22 February 2016

What is data-driven marketing mean by Tom Kaneshige


In words tinged with somber acceptance, today's digital marketers proclaim customer data as their new master. No marketing decision shall be made without closely consulting the data-analytics tea leaves. Marketing's black art has just become quantifiable, but what does data-driven marketing really mean?

"Arguably, the most important evolution in the history of marketing is the ability to understand what data you have, what data you can get, how to organize and, ultimately, how to activate the data," says Mark Flaharty, executive vice president of advertising at SundaySky, a tech vendor leveraging customer data to create and deliver one-to-one marketing videos.

Where does data come from?

Customer data can sprout from just about anywhere. Sales transactions lie buried in a company's CRM and ERP systems. Customer interactions in marketing and customer service steal away in silos. Out on the edge, social listening, online surveys, consumer feedback and Internet of Things produce boatloads of data every day.

Then there are external data providers such as Avention, formerly OneSource, which offers business-to-business data about customers and prospects, which a company blends with internal data and feeds into an analytics engine to spit out marketing insights. Avention data helps companies better target prospect and manage the customer purchasing life-cycle.

"We're throwing fuel on the marketing-analytics fire," says Avention CTO Hank Weghorst. "All of these groups are trying to gain competitive edges by using data." Marketers are by far the fastest growing segment of Avention's business.

Paralysis by data analysis

No wonder marketers often feel overwhelmed -- even paralyzed at times -- by the sheer amount of customer data suddenly available to them. They're under enormous pressure to make data pay off with real-time decision-making. They're expected to be data experts: Three out of four consumers want retailers to gather and use personal data to improve the shopping experience, according to Monetate.

Data comes from many sources but not all contribute equally. Marketers also have the unenviable task of separating the good data from the bad data. It's a work in progress, and CIOs can help CMOs learn about the many internal and external data sources and their value to marketers. Tech vendors can assist in this difficult process, too.

"We help [CMOs] understand the quantification of the measurement metrics of the use of that data," Weghorst says. "We find out which data is truly useful and predictive, and which data is just noise so that we can drop it and potentially add other sources."

With so much data and analytics and technology thrust in the face of marketers, it might be wise to start with the end goal: What exactly do you want to achieve with all this data?

Forrester says the right data can identify customer preferences and uncover unmet customer needs. A clothing retailer, Forrester says, smartly used behavioral and location data to learn that young women, age 13 to 24, window shopped at their stores only to purchase lower-cost alternatives elsewhere. This led the retailer to create a low-cost line of clothing specifically targeting these shoppers.

Building better relationships

Customer data isn't just about sales prospecting, either. Marketers can wield data to improve the customer relationship. Airports use real-time data and recognition technology to identify passengers, bags and staff, in order to free up bottlenecks and prevent delays, Forrester says. When a flight is canceled, one airline has an app that suggests rebooking options on the spot for affected travelers.

Forrester also cites another example of creative customer service fueled by data: Mattersight draws on billions of interactions stored in a customer database, as well as predictive algorithms, to match a customer with a customer service representative who shares a similar communication style and behavioral characteristics.

By Tom Kaneshige, senior writer for CIO | Mar 31, 2015 1:42 PM PT

Data is the starting point to make all of this happen.

Note : Any suggestion you have , please mail me on prabhakara.dalvi@gmail.com

Marketers use of Mobile phone Database erodes consumers' trust - Reuters survey


Most consumers feel they lack control over personal information on their phones, are suspicious of attempts to use it for marketing appeals and many think the problem is getting worse, a survey in major countries of the world has found. 

The findings from a poll in January of 8,000 mobile phone users published on Monday spell trouble for advertisers hoping to tailor marketing and services based on location, personal context and interaction history for customers on the go. 

The survey found 75 per cent of consumers did not trust even well-known marketing brands to take care of their data, with many of those, 55 percent, saying their trust had been eroded in recent years. It was conducted among phone users in eight major markets – Brazil, Britain, China, France, Germany, India, South Korea and the United States, and commissioned by Syniverse [SVRTE.UL], a top supplier of mobile software to network operators globally. 

Syniverse commissioned the study to see what information consumers were willing to share with brands, and their expectations of what they would get in return. 

"The assumption is that end-users will willingly share personal data in return for personalized services," the report's authors stated. "But it looks like this assumption is wrong." Separately, Hong Kong-based CK Hutchison's Three UK and Three Italy said last week they had implemented ad-blocking technology in their networks to protect their mobile customers from unwanted marketing messages. 

"Irrelevant and excessive mobile ads annoy customers," Three UK Chief Marketing Officer Tom Malleschitz said in a statement. 

"The industry has to work together to give customers mobile ads they want." Half have lost faith in mobile telecommunication operators themselves to protect their data and use it responsibly, according to the survey by Syniverse. When asked about their willingness to share more personal data such as location and or interactions, just 14 percent, on average, said they were willing to do so. 

Across the countries surveyed, 30 percent, on average were unwilling to share any personal information at all, the study found. "Retailers, hoteliers, financial institutions and mobile operators need to rethink their approach to harvesting, managing and using private data," the report concluded.

BARCELONA | BY ERIC AUCHARD

(Editing by Peter Cooney)

Note : Any suggestion you have , please mail me on prabhakara.dalvi@gmail.com

Thursday 4 February 2016

2016 Budget :- Power Sector Commitment and Expection Infographics


Below info base on Budget 2016 on 29th Feb expectation from Power sector related boost income balance sheet. To enrich strategy about to  ---

 " How Govt. handle GST & Other tax for  Power sector".

2016 Budget :- Power Sector Commitment and Expection Infographics
2016 Budget :- Power Sector Commitment and Expection Infographics


Note : Any suggestion you have , please mail me on prabhakara.dalvi@gmail.com

What is Demand Generation - explain with Small Info-pictograph



Outline :- 

Demand generation info-pictograph


Here we explain, what demand generation is.  From various source like email campaigns, organic traffic from web, PPC or Google cpc, any event related to trade-show etc.


We again and again use this source advance for qualified lead mean business roi. Below info-pictograph clear your doubts about Demand generation and how this strategy filled with score, nurture with automotive skills.

What is Demand Generation - explain with Small Info-pictograph
What is Demand Generation - explain with Small Info-pictograph

Note : Any suggestion you have , please mail me on prabhakara.dalvi@gmail.com