Archive for the ‘Internet Marketing’ Category

Dstillery Accelerates Growth with Two Key Executive Promotions – Martechcube

Dstillery, the custom audience solutions company, is taking steps to drive growth by promoting two integral team members.AmeliaWhite, Ph.D., will assume the role of Vice President of Data Science Research, andPatti Boyle, Ed.D., will serve as Chief Marketing Officer. The promotions strengthen the companys ability to improve its artificial-intelligence-powered advertising solutions and win the cookieless future.

White joined Dstillery as a data scientist in 2015 and began leading the Data Science Research team in 2018. To date, White has invented two of Dstillerys 16 patented technologies. She created Dstillerys cookieless solution,ID-freeCustom AI, and is the lead inventor on the patent describing this approach. She also developed Dstillerys Map of the Internet (MOTI), a foundational technology powering ID-free and other Dstillery products.

Amelia brings innovative and impactful machine learning solutions through her research and leadership, saidMelinda Han Williams, Ph.D., Chief Data Scientist at Dstillery. She has developed countless improvements to Dstillerys products and supervised the development of countless more. Amelia keeps Dstillerys solutions on the cutting edge of applied machine learning.

Boyle has been a strategic marketing leader at Dstillery since 2019, most recently as Head of Marketing. Responsible for advancing brand positioning, digital marketing and lead generation, she drives results by developing and executing growth plans, fostering client and partner relationships and overseeing integrated marketing programs. Boyle built a marketing team from the ground up, created a new marketing strategy and managed a brand refresh. She has raised the brand profile, ramped up qualified leads built on account-based marketing and a focused paid media strategy and enhanced the companys thought leadership through a purposeful PR, event and content marketing program.

Since the start of her time with Dstillery, Patti has positioned the company for success, saidMichael Beebe, Dstillery CEO. She has hired a stellar team, and together that team reconstituted the companys marketing around a clear strategy that supports our mission. Patti is a maximizer, a strategist, a learner and an achiever. In the role as CMO, her inspired and inspiring leadership will take our marketing to the next level.

In addition to Boyle and Whites recent promotions, Dstillery continues improving its ID-free Custom AI solution.

These ID-free targeting solutions allow advertisers to respect consumers privacy while also delivering campaign results, said Beebe. The promotions of Amelia and Patti strengthen our position and set us up for greater innovation as agencies and advertisers prepare for the sunsetting of third-party cookies.

Tune in to Martech Cube Podcast for visionary Martech Trends, Martech News, and quick updates by business experts and leaders!

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Dstillery Accelerates Growth with Two Key Executive Promotions - Martechcube

The Evolution of Web Analytics – CMSWire

Though web analytics is almost as old as the internet itself, the field has transformed dramatically since inception.

Before the decade is out, the data analytics market is expected to be worth $550 billion. Today, millions of businesses around the world rely on Google Analytics (or comparable software) to better understand customer wishes and optimize their web experiences. Though web analytics is almost as old as the internet itself, the field has transformed dramatically since inception.

Let's take a look at the history of web analytics, how Google took over and where it's going next.

Three years after the internet was born, the first analytics solutions appeared. Hit counters, or simple code that can display the number of page views, came first. They were simple to use without any IT experience.

Slightly more complex at this time was log analysis, which could interpret server logs and help identify sources of web traffic. As websites grew more complex, so too did server logs. Caching, or temporarily storing a file in the system to avoid multiple HTTP requests, didnt show up on the log, leaving gaps in the data.

This was a problem until JavaScript came along. JavaScript allowed tag-based tracking, which kept track of far more than just hits. Thanks to tag-based tracking, analytics moved into the domain of marketing. Marketers began to create targeted advertising, optimize their website copy, and more.

Related Article: Google's Move Away From Universal Analytics: What It Means for Digital Marketers

Around the turn of the century, it could take up to 24 hours for large companies to process their website data. That is, until Urchin came along and did it in as short a time as 15 minutes. Urchin quickly expanded its client base and offerings until Google bought them in 2005. And so Google Analytics was born.

Google Analytics was built as a hosted analytics solution that is heavily focused on quantitative data. The service ties in directly with Googles other web marketing offers and provides in depth, tag-based data. Its farthest reaching effort has been Universal Analytics, which was introduced in 2012. Universal Analytics lived up to its name by allowing for the tracking of users across multiple devices and platforms through the assignment of user IDs. Through this software, offline behavior monitoring, demographics, and (as of 2016) machine learning provided consumer insight with incredible detail at the cost of user privacy.

Related Article: Google Is Forcing the Switch to GA4 and Many Brands Aren't Happy

Partially in response to Universal Analytics far reach, some governments passed new online privacy laws. The most well-known example is the European Unions General Data Protection Regulation (GDPR), which went into effect in 2018.

To better comply with the new rules, Google released Google Analytics 4 (GA4) in 2020. GA4 only uses first-party cookies, and its Consent Mode adjusts the types of data collected based on user permissions. However, GA4 is still able to offer detailed consumer insight by reverting (in a way) to a previous mode of tracking: hit collection. GA4 considers every event a hit, collecting data that stretches far beyond page views.

GA4 also makes upgrades unrelated to privacy like collecting data in the same way for both web and mobile. Other new features include real-time reports, cross-platform reporting, and the ability to exclude users for certain behaviors. Universal Analytics shuts down July 2023 in favor of GA4.

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The Evolution of Web Analytics - CMSWire

Fashion Has Abandoned Human Taste – The Atlantic

As best as I can tell, the puff-sleeve onslaught began in 2018. The clothing designer Batsheva Hays eponymous brand was barely two years old, but her high-necked, ruffle-trimmed, elbow-covering dresses in dense florals and upholstery printsbizarro-world reimaginings of the conservative frocks favored by Hasidic Jewish women and the Amishhad developed a cult following among weird New York fashion-and-art girls. Almost all of her early designs featured some kind of huge, puffy sleeve; according to a lengthy profile in The New Yorker published that September, the custom-made dress that inspired Hays line had enough space in the shoulders to store a few tennis balls.

Batsheva dresses arent for everyone. They can cost more than $400, first of all, and more important, theyre weird: When paired with Jordans and decontextualized on a 20-something Instagram babe, the clothes of religious fundamentalism become purposefully unsettling. But as described in that cerulean-sweater scene from The Devil Wears Prada, what happens at the tip-top of the fashion hierarchy rains down on the rest of us. So it went with the puff sleeve. Batsheva and a handful of other influential indie designers adopted the puff around the same time, and the J.Crews and ASOSes and Old Navys of the world took notice. Puff sleeves filtered down the price tiers, in one form or another, just like a zillion trends have beforestreamlined for industrial-grade reproduction and attached to a litany of dresses and shirts that dont require a models body or an heiresss bank account. And then, unlike most trends, it stuck around.

Four years later, the puff sleeve still has its boot firmly on the neck of the American apparel market. If you have tried to buy any womens clothes this year, you already knew thatthe sleeves are everywhere, at every size and price level, most of them stripped of the weirdness that made the originals compelling and ready to make you look like a milkmaid in the most boring way imaginable. At a time when most fashion trends have gotten more ephemeral and less universal because of constant product churn, some manage to achieve the opposite: a ubiquity that feels disconnected from perceptible demand. Right now its puff sleeves, but weve also seen cold shoulders, peplums, crop tops, pussybows, fanny packs, and shacketsa host of looks that have generated their own aesthetic feedback loops, iterated until the buying public cant stand them anymore. Americans now have more consumer choice than ever, at least going by the sheer volume of available products, but so much of the clothing that ends up in stores looks uncannily the same.

When you take creative decisions out of the hands of actual humans, some funny stuff starts to happen. For most of the 20th century, designing clothes for mass consumption was still dependent in large part on the ideas and creative instincts of individuals, according to Shawn Grain Carter, a professor of fashion business management at the Fashion Institute of Technology and a former retail buyer and product developer. Even most budget-minded clothing retailers had fashion offices that sent people out into the world to see what was going on, both within the industry and in the culture at large, and find compelling ideas that could be alchemized into products for consumers. One of these employees might see some weirdo dressed like a frontier bride at a bar in the East Village and later say in a meeting, What if we did a couple of pieces with puff sleeves? Development and design work still involved plenty of unglamorous business concernssell-through rates, product mix, seasonal sales projectionsbut the process relied on human taste and judgment. Designers were more likely to be able to take calculated risks.

At the end of the 1990s, things in fashion started to change. Conglomeration accelerated within the industry, and companies that had once been independent businesses with creative autonomy began to consolidate, gaining scale while sanding off many of their quirks. Computers and the internet were becoming more central to the work, even on the creative side. Trend-forecasting agencies, long a part of the product-development process for the largest American retailers, began to create more sophisticated data aggregation and analysis techniques, and their services gained wider popularity and deeper influence. As clothing design and trendspotting became more centralized and data-reliant, the liberalization of the global garment trade allowed cheap clothing made in developing countries to pour into the American retail market in unlimited quantities for the first time. That allowed European fast-fashion companies to take a shot at the American consumer market, and in 2000, the Swedish clothing behemoth H&M arrived on the countrys shores.

Fast fashion overhauled American shopping and dressing habits in short order. The business model uses cheap materials, low foreign wages, and fast turnaround times to bombard customers with huge numbers of new products, gobbling up market share from slower, more expensive retailers with the promise of constant wardrobe novelty for a nominal fee. Traditional brands, which would commonly plan new collections and develop products for more than a year in advance, couldnt keep up with competitors that digested trend and sales data and regurgitated new designs in a matter of weeks.

Read: Why urban Millennials love Uniqlo

Fast fashion has only gotten faster. Shein, a Chinese company that has existed in its current form since 2012, has grown at breakneck speed by marketing the wares of domestic garment factories directly to Western consumers, and by turning around new clothing in just a few days. A 2021 investigation by Rest of World found that, over the course of a month, Shein added an average of more than 7,000 new items to its website every day. The companys success, like that of Spain-based Zara before it, is built on taking the guesswork out of trends: By constantly creating and test-marketing new products, it can measure consumers immediate reactions and quickly resupply what sells. That is to say, it can just trawl the internet for anything that shoppers already find vaguely compelling, make a bunch of versions on the cheap, and track responses to them in real time.

Doing exactly that has made Shein very successful. The company generates new garments to capitalize on whatever is happening on the internet at any given moment, turning out pastoral frocks to maximize #cottagecores TikTok virality or cadging the work of independent artists and designers, as the company has repeatedly been accused of doing. To stay afloat, traditional retailers have had to become more like their fast-fashion competition, relying more on data and the advice of large consulting firms and less on the creativity and expertise of their staff. The days of the designer saying, Look, this is what Ive done, and this is your choice or forget about itthose days have gone, Grain Carter told me.

When enough brands and retailers begin using these inventory tactics and trend-prediction methods, the results homogenize over time. At the top of the food chain, a designer has an interesting idea, and bigger, more efficient retailers dont just copy itthey copy one anothers copies. The sameness persists on multiple levelsnot only do lots of companies end up making garments that look very much alike, but for efficiencys sake, theyre also often the same garments those companies made in past seasons, gussied up with new details. That these trend feedback loops often center on sleeves or necklines or trim is no coincidence, according to Grain Carter. Changing a dresss flutter sleeve to a puff or a blouses collar to a pussybow is unlikely to affect the garments fit or sizing. Those kinds of changes appeal to customers who want certain parts of their bodies concealed, making the trends marketable to the largest possible audience, across size, age, and income level.

Read: Ultra-fast fashion is eating the world

Bringing back old garments with new details is among the oldest tricks in the apparel book. But when you optimize that trick to wring every last dollar from itand do so at the expense of trying out new, unproven ideasyou get a perpetual-motion machine, generating dress after dress that is difficult to distinguish from the ones that came before. Even clothes from different brands will look almost exactly the same; in fact, they might actually be the same. As supply chains have become more dispersed and complicated, multiple brands can end up buying inventories of the same garment, from the same supplier, and putting their own labels in them. You, too, can sometimes buy (and then resell) wholesale quantities of that same garment on AliExpress, a website that aggregates stock from Asian factories for sale to international buyers.

The unglamorous realities of production have long been hidden from the public in order to preserve the magic of mass-market consumption. A century ago, this was achieved largely through cathedral-like department stores, but now the sleight of hand is a little differentlavish ad campaigns and sponsorship deals with celebrities and social-media influencers help elevate the vibes of largely dreadful clothing. Thats not just because shopping for clothes has become an ever more internet-centric pursuit. The garments in question, most of which dont exactly jump off the hanger in person and fit poorly once tried on, benefit from careful photography and liberal photo editingand from requiring shoppers to pay up front. Not only does this create an extra step between buyers and the realities of modern clothing design and production, but it opens a chasm between buyers and the clothes themselves. At a certain point, you are not really paying for a product, but for the hopeful experience of buying something new. Whatever dress eventually shows up at your house is largely incidental to the momentary rush of acquiring it.

For the average shopper, this opacity can magnify the sense that a particular style has become inescapable overnight, largely unbidden. Who asked for all these tops with holes in the sleeves? Were peoples shoulders getting too hot? An idea that would have been moderately popular a few decades ago, before petering out naturally, now sticks around in an endless present, like an unattended record that has begun to skip. Shoppers may encounter the farcical limits of algorithmic selling on a regular basis, but those limits are more plain when Amazon is trying to sell you a second new kitchen faucet, after interpreting your DIY repairs as an indicator of a potential general interest in plumbing fixtures. With clothes, the technology is less obviously stupid, and more insidious. We know you love these shirts, because youve already bought three like them. Can we interest you in another? Frequently enoughwhich may be just one in every 100,000 people who see the productthe answer is yes, and the record skips on.

This problem is not limited to fashion. As creative industries become more consolidated and more beholden to producing ever-expanding profits for their shareholders, companies stop taking even calculated risks. You get theaters full of comic-book adaptations and remakes of past hits instead of movies about adults, for adults. Streaming services fill their libraries with shows meant to play in the background while you scroll your phone. Stores stock up on stuff you might not love, but which the data predict you wont absolutely hate. You have too many fashion companies, both on the retail side and the manufacturing side, being driven by empty suits, Grain Carter said. Consumable products are everywhere, and maybe the most we can hope for is that their persistent joylessness will eventually doom the corporations that foist them upon us.

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Fashion Has Abandoned Human Taste - The Atlantic

US Insurance Advertising Market Size, Scope and Forecast | The Allstate Corporation, Berkshire Hathaway Inc, The Progressive Corporation, MetLife,…

New Jersey, United States The U.S. Insurance Advertising Marketresearch report examines the market in precise detail during the anticipated period. The research is divided into sections, each of which includes a market trend and change analysis. Drivers, limits, possibilities, and hurdles, as well as the impact of numerous aspects on the sector, are all variables in market dynamics.

The report provides participants with critical information as well as specific recommendations for gaining a competitive advantage in the global business world. It investigates how different players compete in the global market and shows how they compete differently. The market size for the U.S. Insurance Advertising market is calculated using a projected period included in the research study. The markets current state and trends, as well as business growth drivers, sector share, sales volume, interesting BI dashboards, and market forces, are all explored.

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Key Players Mentioned in the U.S. Insurance Advertising Market Research Report:

The Allstate Corporation, Berkshire Hathaway Inc, The Progressive Corporation, MetLife, State Farm Mutual, Nationwide Mutual, Liberty Mutual, UnitedHealth Group, Farmers Insurance Group, American Family Mutual

Our analysts have done a qualitative and quantitative analysis of the microeconomic and macroeconomic components of the U.S. Insurance Advertising market. This study will also aid in comprehending changes in the U.S. Insurance Advertising markets industrial supply chain, manufacturing processes and costs, sales scenarios, and market dynamics.

This analysis highlights significant mergers and acquisitions, corporate expansion, differences in goods or services, market structure, competitive conditions in the U.S. Insurance Advertising market, and market size by the participant.

U.S. Insurance AdvertisingMarket Segmentation:

U.S. Insurance Advertising Market, By Type

Non-Health Insurance Life Insurance

U.S. Insurance Advertising Market, By Channel

Direct Marketing Internet Marketing Mobile Marketing Other

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U.S. Insurance Advertising Market Report Scope

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US Insurance Advertising Market Size, Scope and Forecast | The Allstate Corporation, Berkshire Hathaway Inc, The Progressive Corporation, MetLife,...

NYC – You’ve Been Served! Skywire Networks and Connectbase Unite – JSA

Skywire Networks has joined the Connectbase ecosystem to advance the delivery of connectivity across NYCs most underserved areas.

This means that Connectbases service provider ecosystem now has access to Skywires SLA-backed, multi-gig, fixed wireless solution to reach formerly unreachable customers and revenue streams.

The city has many areas, especially in Brooklyn, Queens, Bronx and parts of Manhattan that will always have poor fiber density for one very real reason its too expensive to put fiber in the ground. At $300 or more per foot to trench the streets, digging fiber doesnt make financial sense. Alan Levy, Founder and CEO of Skywire Networks

Filling in the gapsand so much more.

As a member of Connectbases The Connected World ecosystem, users will now have complete visibility into Skywire Networks more than 2,000 lit and more than 100,000 near-net NYC buildings to quickly and cost-effectively complete their connectivity queries and orders. Critically, as a provider of SLA-backed, multi-gig, fixed wireless services, Skywire will be instrumental in fulfilling connectivity orders to areas where no fiber exists, opening an entirely new customer pool and revenue stream for those carriers.

Our internet service is fast, reliable, affordable, SLA supported and can reach more than 100,000 NYC commercial buildings and residential MDUs. Weve opened a whole new world and Connectbase is helping us reach more carriers and partners, maintains Levy.

They (Skywire) have a solution that bridges a significant gap in service availability for the City of New York, comments Ben Edmond, CEO of Connectbase. Its a game changer for them, their customers and, crucially, for their customers customers. Our mission is to enable the worlds networks to connect, increasing the use of connectivity across all markets and transforming how networks are bought and sold. Skywires participation in our ecosystem is exciting for the current connected partners and we will generate meaningful growth together with the Skywire team.

The Connected World, Connectbases digital ecosystem for connectivity, brings buyers and sellers together, connecting over 1.4 billion locations across 147 countries today and growing faster than any other connectivity ecosystem in the market. The buyers generate millions of quotes per month representing over $14 billion in global connectivity spend. The power of being connected has never mattered more, as the digital economy does not work without the underlying right connectivity. Connectbase and its ecosystem partners, like Skywire, enable the ability to work, learn, play and live in the digital world.

To learn more about how Connectbase is revolutionizing the connectivity buy/sell process, visit http://www.connectbase.com.

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NYC - You've Been Served! Skywire Networks and Connectbase Unite - JSA