End of Google’s Growth, and 6 Online Advertising Issues You Need to Know – Published on Digital Doughnut

End of google's growth online advertising issues

Alphabet/Google’s revenue continues to grow. In fact, earlier this year, it briefly surpassed Apple to become the most valuable public company. But, over the years, Google has reported one number that has left the advertising world wanting to know more. Since 2011, the average ‘ad cost’ continues to decline. In simple terms, Google is serving more and more ads every year, but each ad is earning company less and less. To someone in the online advertising world, this should not be news; online ad effectiveness has witnessed slow and steady decline over the years. The industry doesn’t want its customers to know about some underlying issues that are creating an online advertising bubble. Following six issues are a big reason for concern as there would likely be no turning back the moment advertisers get a grip of what is really happening.

1 – Perils of Technology & Automation

Yet, there is a much bigger irony at play – virtues of automation are becoming its own flaws.

Advertising technology has seen tremendous advancement in the past decade. From precise user tracking and matching algorithms to automation and programmatic buying, placing an ad now requires very little human effort. For most part, this has been a big boon for all stakeholders, but some cracks are starting to show. For one – advertisers took industry’s word on ad effectiveness, who in turn totally relied on advanced technology for their argument. If you look at ad performance over the years, it paints a completely different picture – online ad efficiency has been declining, and it has been declining for some of the most advanced online businesses who really know what they are doing. Yet, there is a much bigger irony at play – virtues of automation are becoming its own flaws. Automation has made it extremely cheap to plan and place ads on small/low quality websites, which has encouraged advertisers of all sizes to join in hordes without understanding anything about ad efficiency.

via End of Google’s Growth, and 6 Online Advertising Issues You Need to Know – Digital Doughnut.

Experts Share Tips on How to Streamline Marketing Processes – Published on Docurated

Tips on how to improve marketing processes

“Given the modern marketing ecosystem, the single most important factor is to…”

Train marketing teams on technical skills. In the work that we do with both large and small clients, traditional marketing teams still rely heavily on IT and Business Technology teams. It ends up affecting all marketing activity since every single marketing process is driven by technology these days. Whether you are doing lead nurturing, social media marketing, content marketing, website optimization, or customer segmentation – if the marketing team doesn’t have the right technical tools and skills, none of the processes will be efficient. Same is true for data analytics, which is also traditionally a CIO responsibility, but never efficiently used if marketing teams don’t know how to work with data.

Modern marketing teams need to acquire these skills if they want to streamline processes and stay ahead of the competition.

via How to Streamline Marketing Processes: Tips from 60 Experts – Docurated.

TIE Digital Marketing Keynote: Strategy to grow your business on a lean budget

TIE-Marketing-Keynote

Why do so many businesses struggle with digital marketing?  Today’s marketing landscape allows a small company, or even an individual, to get attention of millions of digital users.  How do you grow your business?  Jasmeet Sawhney, CEO of YibLab and a serial entrepreneur with over 15 years of digital marketing experience will help you arrive at the answers.

Jasmeet will deconstruct two case studies, real examples of how businesses use growth hacking to engage customers and build a large customer base. You will get insights into the process, mindset, and strategies to figure out unique opportunities available to all businesses. The goal is to provide every attendee with at least a couple of actionable tactics that they can use to scale their business through an analysis of two case studies:

via Digital Marketing: Strategy to grow your business on a lean budget – TiE NJ Philadelphia.

When My Fridge Orders Milk – What Iot Revolution Means for Brand Marketing? – Published on Digital Doughnut

IOT Impacts Brand Marketing

The Internet of Things has arrived

While some continue to write it off as futuristic, they are not acting any different from skeptics we had when mobile technologies were maturing. We all know what happened next – it took only couple of years for smartphones to change our lives. And, if mobile brought ‘change’, IOT will be nothing short of a transformation. Only a couple of years ago, impact of IOT didn’t seem much. But, then, almost instantly, mobile, web 2.0, and connectivity technologies became ubiquitous and inexpensive. Technologies like Wi-Fi, NFC, RFID, and sensor tags now make economic sense for widespread use. These technologies when added to everyday products enable massive data exchanges, and make it possible for brands to deliver dynamic services.

According to Cisco Systems, 15 billion connected devices already exist, and the number will reach 50 billion by 2020. Intel is even more bullish and predicts 200 billion connected devices by 2020. But, another number from Cisco puts things in better perspective, i.e., 98% of all physical devices will be part of the Internet of Things ecosystem. While most people only think about the obvious IOT candidates such as cars, consumer electronics, and appliances, these make up a very small percentage of trillions of consumer products sold every year. The biggest opportunity for marketers is in dumb products that will become part of the IOT ecosystem via smart packaging and software.

via When My Fridge Orders Milk – What Iot Revolution Means for Brand Marketing? – Digital Doughnut.

PANEL CONVERSATION: Marketing & Analytics … A Love Story – NYC Marketing Analytics Forum (New York, NY)

Jasmeet-Sawhney-Marketing-Analytics-Panel1

Data-driven marketing is profoundly shifting the way organizations and brands engage with their customers. Enterprises are motivated, now more than ever, to leverage converged data platforms and strategy to facilitate data-driven decision-making.  Technology has evolved to allow marketers the opportunity to mine insights along the customer journey in real-time to produce a more meaningful, targeted, interaction.

Join us for an evening of networking and insights.  Hear real-world examples of how marketers are using analytics to grow audiences, revenue, and achieve greater impact with their resources.

How to Get SEO Clients? 11 Experts Chime In – Published on Agency Analytics

Jasmeet-Sawhney-How to get SEO Clients

Believe it or not – my team has been extremely successful in signing up clients with some offline tactics. The most successful offline medium for us has been Yellow Pages. We focus on companies that run full page advertisements on YP, and then search the company on the web to make sure it has a website. Yellow Pages is a great lead qualifier because it costs thousands of dollars for a full page ad (depending on the location). If a company can spend that amount of money on a print ad, they probably have funds to improve their online presence and SEO, which in most instances has better ROI.

So, we create a list of decision makers (or marketing contacts) at these companies, and reach out to them with comparable analysis of their spend on Yellow Pages vs. website SEO, with details around what impact the same dollar amount would have if spent on SEO. Our initial plan was to use this technique for local businesses, but it worked so well that we scaled it to generate leads across US. The only catch is that most of the times you are dealing directly with business owners or traditional marketing folks who have little knowledge of digital channels. So, there is a lot of hand-holding. But, it’s all worth the effort.

via How to Get SEO Clients? 11 Experts Chime In – Agency Analytics Blog.

The Top 20 Ways To Naturally Generate Backlinks in 2016 – Published on Inet Solutions

The-Top-20-Ways-To-Naturally-Generate-Backlinks-in-2016

Infographics + Memes & Visual Messages

Jasmeet Sawhney, CEO of YibLab, had two solutions to inbound links generation – one for B2B companies and one for B2C companies:

Generating inbound links requires businesses to constantly create a mix of different types of content that their audience would love to share. But, there are two specific types of content that perform the best for our B2B and B2C clients:

Infographics (for B2B companies) – The best way to generate inbound links for our B2B customers has been infographics. In a world where everyone is overwhelmed with content, getting a visual summary of a topic along with some stats is a treat. That’s exactly why infographics are so popular, and have extremely high re-publish rate. The SEO value of infographics embedded on relevant external sites is immense, which is further amplified by loads of referral traffic.

Memes and visual messages (for B2C companies) – Memes, animated gifs and text messages on a graphical background work extremely well for companies trying to engage their customer audience. These are simple and cheap to create and get shared a lot. Of course, the graphics and messaging have to be relevant to the product or service the business is selling. Memes and visual messages that mix in humor perform even better and get reposted a lot.

via The Top 20 Ways To Naturally Generate Backlinks in 2016 | Inet Solutions.

Big Data’s Big Deal is HUMAN TOUCH, not Technology – Published on LinkedIn

Big-Data-Big-Deal-Human-Touch

LET’S START WITH DATA DELUGE (WHICH, BTW, IS NOT THE PROBLEM):

We all know – there is data everywhere. In the past couple of years, the world has generated more data than the prior civilization put together. Whether it is content posted on web and social media, data transmitted from sensors in cars, appliances, buildings and airplanes, or streamed to your mobile, television or computers, we are surrounded and overwhelmed by data. Advancements in technology are the main driver of this data deluge, but similar advancements have taken place in the technology to collect and store data. This has made it economical for organizations to build infrastructure to store and manage large sets of data. But, the real problem is deriving value out of this data and making it useful. This is where most of the stagnation is today. According to International Data Corporation (IDC), only one percent of the digital data generated is currently being analyzed.

THE DATA REVOLUTION IS ABOUT INSIGHTS:

Everyone agrees there is a big data revolution happening, but it is not about the volume and scale of data being generated. The revolution is about the ability to actually do something with that data. What used to take millions of dollars to first build the infrastructure and then hire really smart and expensive individuals to analyze data, can now be done in thousands. It all comes down to using the right set of new age technologies and implementing right set of rules (read algorithms) to deliver answers that weren’t possible earlier. This is where the new age data computation and analysis shines. We have come a long way to leverage machine learning, graph analysis, predictive modeling algorithms and other techniques to uncover patterns and correlations that may not be readily apparent, but may turn out to be highly beneficial for business decision making.

There have been vast improvements in how and what type of datasets can be linked together to capture insights that aren’t possible with singular datasets. An example that everyone understands is how Amazon links together shopping and purchase history of customers to make product recommendations. Along with linking of datasets, improvements in visualization tools have made it much easier for humans to analyze data and see patterns. These technologies are now making inroads into all types of disparate use cases to solve complex problems ranging from pharmaceutical drug discovery to providing terrorism alerts.

via Big Data’s Big Deal is HUMAN TOUCH, not Technology | Jasmeet Sawhney | LinkedIn.

Big Data’s Big Deal is HUMAN TOUCH, not Technology – Published on AnalyticsWeek

Big-Data-Big-Deal-Human-Touch

I have been involved in marketing analytics work for some years now. It requires me to regularly talk to CXOs about their big data challenges, and their plan to leverage this data to improve business decision making. I am constantly surprised how much misconception exists among executives. All of them read about new technologies and platforms coming out of Silicon Valley that magically clean, organize, analyze and visualize data for them. As if, they just have to implement some technology, press a button, and insights would start flowing.

This is a myth. There is no such (magical) technology-based analysis. Period.

Big Data’s big deal is not about technology platforms – it is rather about appropriate human interface with data technology.

I am myself guilty of selling big data solutions under the facade of technology and platforms. In many ways, I have contributed to this misconception about Big Data technology. So, I hope you believe me when I tell you – Big Data’s big deal is not about technology platforms – it is rather about appropriate human interface with data technology. Let’s not continue to speculate that technology platforms would save the enterprise from all data problems. I have seen the most advanced technology platforms that exist today. There is only one thing I know – these platforms would serve no purpose if we don’t have trained data professionals who know three basic things – business/domain knowledge, analytical experience, and ability to embrace new data technology.

via Big Data’s Big Deal is HUMAN TOUCH, not Technology – AnalyticsWeek.

New Jersey Tech and Pharma Companies on the 2015 Deloitte Technology Fast 500 – Published on NJ Tech Weekly

Jasmeet-Sawhney-NJTC-Event

Below we present the New Jersey companies that made the Technology Fast 500 list published by Deloitte LLP, a global professional services firm with U.S. headquarters in New York.

The Technology Fast 500 provides a ranking of the fastest growing technology, media, telecommunications, life sciences and clean technology companies – both public and private – in North America. Technology Fast 500 award winners are selected based on percentage fiscal year revenue growth from 2011 to 2014, the company said in a statement.