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The age of ‘influencing’ is here and cemented itself as a social normality within society. If somethings is not endorsed by the ones we love and idolise, then is it worth buying? And does this ‘power of persuasion’ come with any sort of responsibility?

Consumption has now become the primary form of self-identity and self expression.  This is a widely accepted fact of life especially among younger age groups.

There was a time when persuasion was easy to recognise – we used to call it advertising.  However through social media we have now all become part of the very process of persuasion itself.  Some form of commercial exchange is now often involved with the activities we engage in.  The world works in such a way that the things we think we are using for free, are actually paid for by companies that we grant the privilege to advertise to us.

When someone gives us something, we often feel the need to give back.  It’s part of our evolutionary make up and is a basic skill of our survival.  The key lesson here is to provide information and advice that is helpful and positive to others. If we dispense unpleasant information our association with it creates a negative impact, often leaving us disliked.  There is then little hope of us exerting any influence on others.

Having Authority

To employ influence yourself it helps to become a recognized authority on a certain subject.  People respect others who are credible experts in their field.  Influencing ability can now be seen all over social media – companies will pay these ‘influencers’ to advertise what they are selling.  You will need an audience and be able to produce high quality content that will engage your followers. Who you are and how you are, as a person, will impact your message.

If you properly implement the strategies of maximum influence you’ll persuade others not only to want what you want but also to be eager to do what you want. There are many other opportunities to make money advertising companies’ products and services.  It can be a really good way to make a nice side income and definitely worth investigating further.  Companies are always keen for you to help them improve their brand awareness.

Having Power

Power increases your ability to persuade and influence others. We pay attention to powerful people because we know they can create change.  This can be seen in people who possess knowledge and expertise. On the other hand, something may be persuasive simply because of who is saying it rather than what is being said. Be aware of your strengths and weaknesses.  Evaluate your habits and behaviours.  Develop a clear image of what your most powerful self is like and then fully embody that person.

Having Integrity

In the process of changing or reforming attitudes or behaviours, it is important to ensure that you are doing so in alignment with what you yourself value.  This will help you to protect yourself from being swayed by what others are telling you. Having some knowledge of the principles needed to exert influence can help you to recognize when you are being influenced.  We all want and need things from other people.  We not only want to influence others to our way of thinking we also want them to follow, trust and accept us.  We all want what we want – when we want it.

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Sourced from Thrive Global

By Max Kalehoff

U.S. digital ad spending surpassed TV advertising several years ago. However, many of today’s brands still haven’t rebalanced their advertising strategies when it comes to creative optimization and audience understanding. Despite the continued ascent of digital ads as the workhorse of the advertising industry, an outsized investment is still pouring into crafting the long-revered 30-second spot.

Who are the leaders in embracing the workhorse ad format of the future? A good place to look is the Facebook Ad Library, where you can instantly view a single brand’s ads and find clues to their approach. A perusal of Facebook’s Ad Library can be a hugely enlightening glimpse into how the world’s most successful advertisers leverage consumer attention. For instance, one company might develop dozens of short-form video ads and memes to reflect the short attention and personalized preferences of their prospects and customers. While another company might serve made-for-TV ads directly onto Facebook, seemingly with little optimization for mobile or the Facebook context.

Attention is diminishing in the digital world. It is naive (if not arrogant) to assume that a 30-second spot will give you 30 seconds of audience attention. With multiple devices and numerous apps competing for attention, users are more likely to shift to a different screen or scroll to a new post before the 30 seconds are up.

The 30-second spot has long been the tentpole of advertising’s creative existence. For many brands, these ads — which shine brightest around major events like the Super Bowl — are treated like movie premieres. They are rigorously screened, vetted and refined prior to release, carefully launched and then distributed via paid media. The hope is to generate maximum buzz among consumers and within industry circles. How many marketing conferences have you been to where a chief marketing officer (CMO) celebrates and summarizes her company’s accomplishments by showcasing a 30-second spot?

When you take for granted audience attention, longer environments (like 30-second spots) offer more opportunity in which to tell stories and create emotional impact. Indeed, the emotional impact is what encodes branding into your consumers’ brains, so your advertising achieves impact, whether that’s acting in the moment or remembering and preferring to select your brand later on when shopping. Big ideas are foundational, and there is a place for tentpole creatives, even 30-second spots.

However, consider this: A Google-commissioned study by Ipsos determined that, while only “45% of TV advertising time actually receives attention,” paid YouTube mobile ads receive 83% viewer attention. Moreover, our own Realeyes attention data underscore that consumers rarely demonstrate attentive viewing behaviors with video ads beyond even 15 seconds, particularly in digital environments.

As brands embrace the reality of eyes on digital screens and increasing distraction — accelerated by a global pandemic — they face a creative challenge that no cookie-cutter playbook will solve: how to implement emotive storytelling that encodes your brand in the brain, without the prospect of 30 seconds of captive attention. What is the solution to that?

The massive effort that goes into today’s 30-second spots is often justified by the fact that flagship TV commercials provide the basis for countless iterations of digital ad creative within a campaign. The vast amount of impressions within a given campaign will not be on the full TV commercial, but rather the myriad trimmed-down and reformatted iterations that run across channels, platforms and devices. A standard 30-second spot becomes 15 seconds, 10 seconds, five seconds — you name it. That can be part of the strategy.

There’s more to be done, though. Understanding and leveraging consumer attention toward attention outcomes at the ad level represents one of the biggest challenges facing advertisers today. It’s not enough to ideate and execute a 30-second spot that tests well in focus groups and performs well on the annual awards circuit. Advertisers must understand how their storytelling translates across formats and be able to optimize, at a granular level, for maximum audience attention.

Advertisers need to rebalance their optimization efforts, and for smart ones, the project is ongoing. Understanding an audience’s attention, not to mention the emotional connection, becomes all the more important in today’s pandemic-impacted world, where budgets are tight and every media dollar is challenged to do more. A lean advertising landscape looks plausible in the future, and maximizing for the attention outcomes tied to the workhorse of ad inventory will surely be an essential part of the task ahead.

Feature Image Credit: GETTY

By Max Kalehoff

Max Kalehoff is VP of Marketing and Growth at RealeyesRead Max Kalehoff’s full executive profile here.

Sourced from Forbes

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IF you’ve ever panicked that an app might be watching through your iPhone’s camera, Apple has got you covered.

The latest iPhone update adds a new “warning dot” that alerts you whenever your microphone or camera is activated.

A green dot signifies that your camera is activeCredit: Apple

That means if any app is surreptitiously recording you, you’ll know about it.

It’s all part of the new iPhone update – find out how to download iOS 14 right now.

In iOS 14, a green dot will appear in the upper right corner of the screen when the cameras activated.

And it’s orange if the microphone was activated.

Look for this dot in the top corner to see if an app is using your camera or microphone
Look for this dot in the top corner to see if an app is using your camera or microphoneCredit: Apple

By swiping into your Control Centre, you’ll be able to see details about which app is using the microphone.

If you suspect something is up, you should check the app’s permissions in Settings.

You can deny specific apps access to your microphone or camera, for instance.

And if you’re really worried, you could just delete the app altogether.

“Privacy is a fundamental human right and at the core of everything we do,” Apple explained.

“That’s why with iOS 14, we’re giving you more control over the data you share and more transparency into how it’s used.

“An indicator appears at the top of your screen whenever an app is using your microphone or camera. And in Control Center, you can see if an app has used them recently.”

That’s not the only privacy change added in iOS 14.

For instance, you can now share a rough location with an app – rather than your exact details.

The new iOS 14 update adds fresh privacy features – and gives you a redesigned home screen
The new iOS 14 update adds fresh privacy features – and gives you a redesigned home screenCredit: Apple

That means an app could show you nearby stores, for instance, without knowing exactly where you live.

Fears that apps are snooping on you have been around for years.

Many Facebook users say they’ve spoken about something out loud, only for related adverts to appear on the app soon after.

These users claim they’ve never searched for this sort of content before, and the only possible explanation is snooping.

Users reckon Facebook is using your phone’s microphone to listen in on real-world conversations – to help target ads. But is it true?

Facebook has been very clear about the matter, and says it isn’t using microphone recordings to target ads better.

Why does it feel like Facebook is snooping on you?

Here’s what you need to know…

  • The magic of targeted advertising is that it should feel relevant to you – even if you can’t figure out why.
  • Facebook doesn’t need to spy on your real-life conversations, because you hand over so much information anyway.
  • Follow this link and you’ll be able to download everything Facebook knows about you. Most of you will quickly realise it’s a staggering amount of information.
  • Advertisers can use information gleaned from your activity all across the web, on multiple devices, even if you’re not logged into Facebook or other services.
  • They’ll likely know where you live, what you like, who your friends are, how much money you make, your political beliefs and much more.
  • So when you get ads for something you’ve talked about out loud, it’s almost certainly just advertisers being very good at predicting your interests.
  • It’s also possible that there’s an advertising campaign running, and you’ve seen an ad and not noticed. You’ve then spoken about it, never realising you’ve been advertised to, and only then notice future ads – which suddenly seem suspicious.
  • Let’s say you talked about a holiday to Scotland, and then all of a sudden you’re being advertised holidays to Scotland.
  • You may never have searched for anything to do with that before.
  • But Facebook could use info about your level of wealth, your past holiday interests, the time of year (ads for wintry Scottish retreats are common in the colder months), and your location.
  • What seems like snooping is actually just clever advertising.

“Facebook does not use your phone’s microphone to inform ads or to change what you see in News Feed,” a company spokesperson said.

“Some recent articles have suggested that we must be listening to people’s conversations in order to show them relevant ads. This is not true.

“We show ads based on people’s interests and other profile information – not what you’re talking out loud about.

“We only access your microphone if you have given our app permission and if you are actively using a specific feature that requires audio.

“This might include recording a video or using an optional feature we introduced two years ago to include music or other audio in your status updates.”

There's a new App Library in iOS 14 to help declutter your home screen
There’s a new App Library in iOS 14 to help declutter your home screenCredit: Apple

There’s never been any solid evidence – beyond hearsay and anecdotes – that Facebook is recording your real-life conversations.

However, it’s entirely possible that other rogue apps could listen in on what you’re doing.

So Apple’s new feature is the perfect defence for dodgy apps who play fast and loose with your privacy.

By

Sourced from The U.S. Sun

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Addressable advertising relies on being able to identify users to serve them the right message at the right time. But the identifiers that marketers use to do this are coming under threat as platforms and regulators work to improve data privacy and protection practices for consumers—namely by killing the third-party tracking cookie.

Now, some marketers are looking for ways to “replace the cookie”—which could be a doomed proposition if consumers don’t want to consent to being tracked and targeted by advertisers. The ad tech ecosystem sees consumer education as the key to getting that consent, but for more than a decade, consumers have expressed concerns.

In 2009, we noted research from the Annenberg School for Communication, University of California Berkeley School of Law, and the Annenberg Public Policy Centre that found two-thirds of US internet users did not want to see ads tailored to their interests—and that their opposition increased when they learned how such ads were delivered. Almost two-thirds (63%) said they thought advertisers should be legally required to delete information about consumer internet activity immediately.

In 2010, covering other research that revealed consumer discomfort with ad targeting practices, we wrote, “Education without effective empowerment with regard to their own data may not be enough for consumers to get comfortable with targeting.”

There has never been a clear process of informed consent, or radical transparency, nor have consumers had the capability to manage their preferences conveniently. There hasn’t been even the smallest effort to explain to the public how real-time bidding (RTB) works and what it means about who processes their data. But there has been a massive increase in spending on targeted digital advertising.

According to February 2019 research conducted in the UK by the Information Commissioner’s Office (ICO), the Office of Communications (Ofcom), and Harris Interactive, consumer support for viewing digital advertising in exchange for free content dropped from around two-thirds (63%) to around one-third (36%) when survey participants were given some basic information about how personal data is used in RTB.

In 2010, we cautioned: “The fact that over time, as behavioural targeting has featured prominently in the news, Americans continue to regard it as invasive, creepy, or otherwise undesirable further suggests that educational efforts may not be enough.”

Almost two-thirds (63%) of US adults surveyed in June 2019 by the Pew Research Centre correctly understood that cookies allow websites to track user visits and site activity. And Performics and Northwestern University’s Intent Lab found in March 2020 that more than seven in 10 US adults wanted to see regulatory reforms of how companies treat their data.

Attitudes Toward Government Control of Select Company Practices According to US Adults, March 2020 (% of respondents)

To the extent that users are willing to share their data, it’s with the expectation of meaningful choice and control—which are often still not present. About three-quarters of US adults surveyed in November 2019 by geofencing firm Herow said they would be more likely to share their location data if they were given a clear and easy way to control if and how it was used.

App Attributes that Make US Adults More Inclined to Share Location Data, Nov 2019 (% of respondents)

“Marketers, agencies, and media companies are going to have to make a choice, and it’s a simple one,” said Anne Hunter, head of product marketing at consumer insights platform DISQO. “They can either use various technical workarounds to replicate the cookie, or they can do what consumers actually want: get permission before collecting data.”

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Sourced from eMarketer

By Daniel Heer

Founder & CEO of Zeotap, a customer intelligence platform that helps brands better understand their customers and predict behaviours.

There is no aspect of life or business that Covid-19 has not affected, and advertising is no exception. In the way brands message to their audiences and also how much budget they can now allocate, everything turned on a dime in mid-March, with 2020 barely out the door.

Now, we can expect to see a staggering drop in ad investment in 2020. According to the Interactive Advertising Bureau (via Tasty Ad), “Almost a quarter (24%) of media buyers, planners and brands have paused spending until the end of Q2, while 46% indicated they would adjust their ad spend across the same time period. Three quarters expect the pandemic to have a bigger impact than the 2008 financial crisis.”

So where are advertisers spending their limited budgets? Well, there’s no place like home.

Shifting To The Digital Homefront

The World Economic Forum reported that as stay-at-home measures rolled out across the globe, out-of-home advertising contracted almost immediately, and print advertising also quickly declined. On the other hand, the usage of in-home media increased, with digital consumption such as social platforms, streaming services and gaming outpacing traditional media dramatically.

It’s hard to believe we weren’t already at full saturation in our digital lives, but since Covid-19, there are more people online than ever before (at the start of the pandemic, internet usage was up 70%). Consumers are buying more online rather than braving brick-and-mortar stores (e-commerce spending in the U.S. was up more than 30%  from the beginning of March through mid-April compared with the same period last year), and they are staying online for longer stretches (in an eMarketer survey, 32% of respondents are spending longer on social media, while 42% of respondents are spending more time watching streaming services, and Nielsen reported a 59% increase in game console usage).

And of course, advertising dollars are following.

The opportunity for marketers to reach those people with a laser focus is the highest it’s ever been. And while the need to stretch an ad dollar in this economic climate is no doubt challenging, the upside is that marketers now know exactly where to spend it.

Building Customer Identity Is Still A Challenge

Now that digital use is at an all-time high, digital identity resolution — or reconciling an anonymized person’s behaviour across channels and devices — is more important than ever to brands. Identity in this sense should not be mistaken for collecting personally identifiable information such as name and address, but rather a unified view of a person’s behaviour across their devices while their true identity remains private.

Identity resolution is meant to be a gold mine to advertisers — and in theory, it should help them properly measure ad effectiveness and attribute business outcomes (e.g., purchases) to the correct consumer touch point, whether it’s an online ad, email, print ad or commercial. It’s also meant to be helpful to consumers because it helps with what is known as frequency capping, or making sure one person doesn’t keep seeing the same ad multiple times to the point of annoyance.

Yet according to a report published by BCG in 2019, 83% of CMOs and advertisers are still not able to make those important connections across consumer touch points and devices. The issue lies in the fact that the whole digital advertising industry was built on and optimized for third-party cookies — or pieces of code from digital providers that help track anonymized users’ browsing behaviour on behalf of brands. These identifiers were superb at recognizing web browsers, but they fell short when it came to recognizing individuals.

Now, with Google announcing the phasing out of third-party cookies on its Chrome Browser, identity resolution is becoming even trickier. And with Apple’s recent announcement in June that it will now make its IDFA (identifier for advertiser) “opt in” only — meaning a customer has to proactively enable it — identity resolution efforts took another blow.

Solutions For Brands

With all that in mind, brands are left with the task of investing in and further building out their first-party cookies (tracking code they put down themselves) and their customer login data. There are many advantages when utilizing these identification techniques: They are persistent and cannot be blocked, and they are easy to integrate with privacy notices. They can be linked by publishers to their login profiles as well. The only caveat is that they are trickier to use across websites because they only work in a brand’s proprietary or closed environment, which affects attribution, reach and frequency capping.

Now we’re getting a lot more “inside baseball,” but it would be remiss not to mention the rise of universal IDs — or the same ID used by multiple digital advertising vendors — as a way to better identify customers online and reduce all complexities. They could be leveraged along with a brand’s first party and customer login data. Google, Facebook and other tech behemoths would continue to rely on their own identifiers as they built upon their empires, so any universal ID would be limited in scale in that regard.

However, the universal ID is one of the better solutions in an increasingly challenging advertising and customer identity environment. And of course, privacy has to be at the forefront of any identity initiative — or you can be sure companies will get ensnared in regulations violations.

Covid-19 may be bringing more people online, but brands have to wade through a very complex new digital environment to reach these consumers and deliver them the most relevant and personalized messages to achieve their goals. But they can — and will — adapt. The digital marketing opportunities have never been better.

Feature Image Credit: GETTY

By Daniel Heer

Founder & CEO of Zeotap, a customer intelligence platform that helps brands better understand their customers and predict behaviours. Read Daniel Heer’s full executive profile here.

Follow me on LinkedIn. Check out my website.

Sourced from Forbes

By Ashley Deibert

The world of digital advertising is undergoing a paradigm shift.

Even before Google pulls the final plug on third-party cookies in 2022, brands will be challenged to rethink their targeting and ad strategies. The demise of third-party cookies promises to accelerate the decline of third-party data, and brands will require more direct data solutions to ensure return on investment and maximize the impact of their advertising spend.

Enter first-party and zero-party data — fully consented data types that users provide directly to brands, often through their on-site actions. First-party and zero-party data have always been part of most brands’ advertising efforts, but they’re about to play a starring role as the foundation of their entire strategy.

While change is always difficult, it’s not necessarily a bad thing. First- and zero-party are more reliable than third-party data. And, since the data is provided by people who really want to interact with the brand, it’s a more reliable way to interact with individuals who are receptive to advertising and likely to become customers. Moreover, since both first- and zero-party data are provided voluntarily, they’re built on a foundation of privacy and consent that users and lawmakers increasingly demand. But to be successful, most brands will need to expand their stores of each data type.

The state of direct brand engagement

In July and August, 2020, Digiday surveyed 111 advertisers, representing 71 different brands and 40 agencies, to understand what brands were doing to prepare for a cookieless world. This research offers a snapshot of an advertising industry that is dramatically increasing its reliance on first- and zero-party data as a direct result of cookie deprecation.

The study revealed that 50 percent of marketers expect to be more reliant on first-party data in the coming year, and 49 percent will use more zero-party data. And they plan to draw on a familiar set direct engagement tactics to do so — those that have been honed by successful digital publishers.

The question is, are they making this transition quickly enough to be ready for 2022?

Direct brand engagement is emerging as a key strategy

Publishers have long understood that direct engagement is the key to increasing user investment. The more engaged in a brand’s site a user proves, the more often they’ll visit. And it’s these highly engaged users who are most likely to convert into paying subscribers, sign up for newsletters or share data on a registration page. But first, they need to see value in those exchanges, whether through access to premium content, expanded site features or some other tangible benefit.

Creating value exchanges to inspire users to become more invested in the site has enabled publishers to collect both first and zero-party data. In turn, they’ve been able to further personalize their user experiences, directly engage with their audience and provide critical data points to their advertisers to help them better target ads.

The survey results show that most brands are now embracing many of the tactics that digital publishers use to collect this crucial data. Email, already a powerful tool for brands, has become their medium of choice for new approaches. The study found that 55 percent are using surveys and questionnaires to gather customer data, and 50 percent are employing newsletter sign-ups. However, they’re also exploring subscription offers (used by 29 percent of respondents), registrations (28 percent) and gated access to site features (20 percent). When asked what they’ll be using a year from now, subscription offerings increase by 30 percent and registrations by 17 percent.

How they’re using all this data is equally notable. While direct ad targeting and broader segmentation continue to top the list of widely used data-driven tactics, 37 percent of those surveyed also plan to engage in direct one-to-one interactions with their customers.

Waiting for change will leave some brands behind the curve

The results show that brands are seeking out new tactics in the face of change. However, they also suggest that brands are moving slowly when it comes to making the big shift away from third-party data. They’re comfortable taking a wait-and-see approach, convinced they’ll have plenty of time to adapt away from their third-party data strategies when the time comes.

Among the survey respondents, 44 percent plan to start their post-third-party cookie planning in two years or less, putting them on the cusp of Google’s 2022 timeline. Meanwhile, 44 percent expect the transition to take up to three years — meaning they’re at risk of missing the deadline completely. And 78 percent don’t see any reason to hurry, assuming that they’ll be able to adapt to other data types quickly and easily at a later date.

In truth, late adopters are behind the curve from a strategic perspective. Experts, including multiple members of the World Wide Web Consortium (W3), have noted that advertisers, ad tech companies, browsers and publishers are simply taking too long to prepare for the end of third-party cookies. Much like the sluggish response to GDPR, this leisurely approach risks putting many businesses in the hot seat at a moment when they’re ill-equipped to swiftly adapt.

There’s no reason to wait. By virtue of being more clearly sourced, first- and zero-party data is actually a better alternative than third-party data, opening up the ability to target users more precisely. Still, there is a learning curve to building a strategy that revolves around direct engagement. Of those surveyed, 52 percent reported that the difficulty of creating content that appeals to their audience was a roadblock to improving direct engagement. Getting a head start now will give brands the time to test what works for their audiences, and what doesn’t.

Digital publishers have spent decades perfecting the tactics they use to build direct engagement. Brands have less than two years to do the same.

By Ashley Deibert

Sourced from DIGIDAY

By Zeke Cohen

By focusing on your quality score, using videos as sponsored posts, creating your own graphics, and speaking the language of your consumers, you can stretch your ad dollars even further.

The cost of Facebook ads has increased by 90 percent year-over-year. Twitter is already more expensive than Facebook. And, Instagram is fast catching up. What can we do as marketers to survive in such a hyper-competitive environment? You’ll need to learn to make the most of your marketing budget moving forward.

Here are four tips to help you get the best bang for your marketing buck.

FOCUS ON IMPROVING YOUR QUALITY SCORE

Each ad platform has a quality score that dictates your cost per click or cost per impression. Facebook refers to this as the Relevance Score, while Twitter calls it the Quality Adjusted Bid. Formalities aside, the biggest thing to note is that a higher quality score means the platform is going to show your ads to more people. Conversely, a lower quality score means you will have to pay more. The quality score is determined by engagement. So, the more your target audience clicks on, likes, and shares your advertised content, the lower you pay.

Previously, it was the norm to rapidly test out different creatives and then promote the winners. But, doing so now can be extremely expensive and ineffective. Fortunately, you can figure out which content has the highest chance of good engagement without even running an ad campaign.

Your website, for instance, is a gold mine of creative ideas perfect for your social media marketing campaign. Here’s an awesome way to find your top-performing content using Google Analytics and a spreadsheet.

(Image Source)

Your best content attracted engagement for a reason. It clicked with your target audience. Use this creative to come up with fresh ad ideas. For example, each subheading in an article can be turned into a sponsored post with a bit of work. Start with organic posts first. See which posts perform the best, then sponsor them across the ad-network. By the time you hit play on your ad campaign, you’ll already have most of the hard work done.

USE YOUR AUDIENCE’S INSIDER-SPEAK TO STAND OUT

Creatives that deliver the most value will always attract more engagement. But, you can take it even further. As social creatures, we tend to belong to cliques and groups with specific lingo. This insider-speak serves as an “Identify Friend or Foe” test, which separates the group members from the outsiders. Suffice to say, using your audience’s insider-jargon will help you break the ice and establish an instant rapport with them.

For example, Millennials and Gen Zers are more likely to use chat acronyms on social media. You can strategically insert abbreviations into your sponsored content to get it to resonate with them. Even images are awesome places to use them! Check out this US Marine Corps ad for a marathon.

(Image Source)

The ad is targeted to millennials and Gen Z since it starts with an acronym they likely know.

The same principle can be applied to virtually any demographic or audience group, be it baby boomers, coders, or artists. (Even social media professionals have their own jargon!)

CREATE YOUR OWN GRAPHIC

There’re plenty of stock photos and graphics online, which can certainly take one huge step off your checklist. The problem is, everyone’s doing it. Using stock photos or graphics comes with three deal-breaking disadvantages.

Primarily, your audience may have already seen it, so it won’t have the first-impressions effect. Second, it comes across as lazy and unoriginal. Finally, it will never completely match your content unless you write it around the picture, which is self-defeating.

There are some cases where stock photos may work, but their utility is very limited. Instead, spend some time taking your photos or creating graphics that complement your post perfectly. You will have more freedom and will be able to better express your ideas. The images don’t have to be Picasso grade either.  Any basic design or photo that gets the idea across will do for the most part. For example, check out this graphic from Manly Wellness:

(Image Source)

Notice that this image doesn’t illustrate the point – frequency of contact as much as it supports it. It may seem counterintuitive, but images don’t always need to be central to your social media strategy. They can play a supporting role while letting the text do most of the heavy lifting. Images and custom graphics can be used to capture your audience’s attention before they start reading the text, and eventually, clicking the ad.

USE VIDEOS AS SPONSORED POSTS

If a picture speaks a thousand words, then a video speaks a million. The power of video is undeniable. For example, LinkedIn users are 20 times more likely to share a video than any other post. And with YouTube now being the second-largest search engine, you would not want to miss out on creating video ads.

While your chosen video depends on your marketing goals and KPIs, the following types are good places to start:

  • Behind the scenes videos
  • Live videos
  • How-to videos
  • User-created videos
  • Informational videos

Even so, it’s worth noting that videos don’t perform that well just because they are videos. It’s high-quality video content that accounts for most of the “video effectiveness stats” that populate the internet. And those certainly require some investment. That being said, it’s best to have a combination of different types and quality videos in your social media mix.

That’s exactly what Freshbooks does on their #imakealiving campaign. They amplified the power of video in social media through sponsored partnerships with successful entrepreneurs.

(Image Source)

These videos are submitted by the entrepreneurs themselves, therefore the production and quality vary.

It’s generally a good idea to make videos that directly represent your brand and/or product as professional as possible. But, more affordable, Go-Pro type instant and user-generated videos can be used for social proof and building credibility.

The bottom line? Running a social media ad campaign doesn’t need to cost you a lot. Most end up turning expensive solely because it takes so much rinse and repeat to find the winning creative copy, graphic, colour combo. Once that truth is established, your ads can start paying for themselves. The idea to reduce your ad spend is to do as much of the research before while keeping your ads looking spectacular.

By Zeke Cohen

SEO & Marketing Expert, Freelance Writer, –

Sourced from Social Media Week

Sourced from Analytics Vidhya

This article was published as a part of the Data Science Blogathon.

Introduction

Exploratory Data Analysis(EDA) is one of the most underrated and under-utilized approaches in any Data Science project. EDA is the first step that data scientists perform where they study the data and extract valuable information and non-obvious insights from the data which ultimately helps during model building.

Before you model the data and test it, you need to build a relationship with the data. You can build this relationship by exploring the data, by plotting the data against the target variable, and observe how your data is behaving. This process of analysis before modeling is called Exploratory Data Analysis.

In this article, we are going to perform a hands-on EDA on a complex dataset from Kaggle(Advanced House Prediction). The link to the dataset is given below:

https://www.kaggle.com/c/house-prices-advanced-regression-techniques/data

The lifecycle of a Data Science Project

1) Exploratory Data Analysis

2) Feature Engineering

3) Feature Selection

4) Hyperparameter tuning

5) Model Building and deployment

Let us perform on this complex dataset which has around 81 independent features and 1 target variable(sale price). It is a Regression problem statement.

EDA will contain some basic steps like analyzing missing values, numerical and categorical features’ distribution, outliers, multicollinearity, etc. We will see each one of the steps one by one.

Missing Values

Most of the time the data we obtain contains missing values and we need to find whether there exists any relationship between missing data and the sale price(target variable). Depending on that we replace the missing value with something like the median of that column.

This is the python code to capture the missing values for a large dataset in a list where we replace the missing value with 1 and replace the non-missing value with 0 and plot against the median sale price to see whether there exists a relationship b/w null values and target variable or not.

LotFrontage 0.1774 % missing values
Alley 0.9377 % missing values
MasVnrType 0.0055 % missing values
MasVnrArea 0.0055 % missing values
BsmtQual 0.0253 % missing values
BsmtCond 0.0253 % missing values
BsmtExposure 0.026 % missing values
BsmtFinType1 0.0253 % missing values
BsmtFinType2 0.026 % missing values
FireplaceQu 0.4726 % missing values
GarageType 0.0555 % missing values
GarageYrBlt 0.0555 % missing values
GarageFinish 0.0555 % missing values
GarageQual 0.0555 % missing values
GarageCond 0.0555 % missing values
PoolQC 0.9952 % missing values
Fence 0.8075 % missing values
MiscFeature 0.963 % missing values

Since there are many missing values, we need to find the relationship between null values and the target variable(sale price)

This is one of the plots which shows that null values of Lot frontage feature have an impact on the target variable as it is increasing with the sale price. So yes, there exists a relationship b/w the two and we need to replace the null values with something substantial like the median of that particular feature.

Numerical Features

Since this is a large dataset we need to visualize the different types of variables like date-time(year), discrete and continuous numerical feature, categorical feature, and their behavior with the target variable.

There are 39 numerical features in this dataset. The data type for string or a mix of string and numeric is given as an object which we can check by using the types attribute.

Date Time variable(year feature or temporal variable)

This is the python code to find the year features and see how those four features behave with respect to the target variable.

We can see here that as the yr sold increases, the cost decreases. Now, this has to be an anomaly since it is not possible so we need to do more analysis and come to better conclusions. This just shows the importance of EDA and how it can affect our conclusions.

Instead of comparing the sale price with the yr sold feature, let us compare the sale price and the difference of all year features.

Now we can compare the sale price(median) with the year built and the year of recodification and come to various conclusions like the value on the X-axis increases, the price decreases.

Discrete numerical features

Discrete variables are the variables whose values exist in a particular range or are countable in a finite amount of time.

I have kept the threshold value for unique variables in a feature as 25 and those should not be in the year feature. Now let us see if there exists a relationship b/w discrete features and the target variable.

We can see that one of the features like OverallQuality has a direct relation with the target variable.

Continuous numerical features

These are the type of features whose value can be basically anything till infinity. By using histograms, we analyze their distribution throughout the data set.

Exploratory Data Analysis

We can see that the distribution we obtained is skewed. During regression problem statements, it is necessary to convert the skewed distribution to a normal distribution as it increases the accuracy of the model.

Logarithmic transformation is one of the techniques to convert a skewed distribution to a normal distribution where we take the log of all values of that particular feature and convert it into a whole new log feature itself. 

Exploratory Data Analysis

Exploratory Data Analysis

Outliers

The outlier is any data point that lies outside of the distribution of the data set.

The presence of outliers in the dataset can hamper the accuracy of the model. Algorithms like linear regression are very sensitive to outliers so it needs to be handled carefully.

The Standard Deviation method is a common method to identify and replace the outliers where any data point which lies outside the 3rd standard deviation is considered to be an outlier. Although that threshold standard deviation can change depending on the size of the data set.

Here in EDA, let us analyse the outliers in the data set using boxplot.

Exploratory Data Analysis

Exploratory Data Analysis

The black dots denote the outliers present which are away from the distribution. The lower line of the rectangular box is 25%ile and the upper line is 75%ile.

So those black dots are the values that need to be removed or replaced which we will see in feature engineering.

Categorical features

Exploratory Data Analysis

The data type for a categorical feature is an object and we can check that with types attribute of pandas.

Exploratory Data Analysis

We generally convert the categorical values of a feature into dummy variables so that our algorithm understands. This is called as One hot encoding. If the cardinality of a particular category is very high, then we do not use one-hot encoding as it might lead to a curse of dimensionality.

The feature is MSZoning and number of categories are 5
The feature is Street and number of categories are 2
The feature is Alley and number of categories are 3
The feature is LotShape and number of categories are 4
The feature is LandContour and number of categories are 4
The feature is Utilities and number of categories are 2
The feature is LotConfig and number of categories are 5
The feature is LandSlope and number of categories are 3
The feature is Neighborhood and number of categories are 25
The feature is Condition1 and number of categories are 9
The feature is Condition2 and number of categories are 8
The feature is BldgType and number of categories are 5
The feature is HouseStyle and number of categories are 8
The feature is RoofStyle and number of categories are 6
The feature is RoofMatl and number of categories are 8
The feature is Exterior1st and number of categories are 15
The feature is Exterior2nd and number of categories are 16
The feature is MasVnrType and number of categories are 5
The feature is ExterCond and number of categories are 5
The feature is Foundation and number of categories are 6
The feature is BsmtQual and number of categories are 5
The feature is BsmtCond and number of categories are 5
The feature is BsmtExposure and number of categories are 5
The feature is BsmtFinType1 and number of categories are 7
The feature is BsmtFinType2 and number of categories are 7
The feature is Heating and number of categories are 6
The feature is HeatingQC and number of categories are 5
The feature is CentralAir and number of categories are 2
The feature is Electrical and number of categories are 6
The feature is KitchenQual and number of categories are 4
The feature is Functional and number of categories are 7
The feature is FireplaceQu and number of categories are 6
The feature is GarageType and number of categories are 7
The feature is GarageFinish and number of categories are 4
The feature is GarageQual and number of categories are 6
The feature is GarageCond and number of categories are 6
The feature is PavedDrive and number of categories are 3
The feature is PoolQC and number of categories are 4
The feature is Fence and number of categories are 5
The feature is SaleType and number of categories are 9
The feature is SaleCondition and number of categories are 6

The threshold value of categories that I have chosen for this case to perform one-hot encoding is 10.

Now let us check whether there exists any relationship between the categorical features and the median of the target variable(sale price).

Exploratory Data Analysis

Multicollinearity

In any dataset, whenever the independent features are internally correlated with each other, it hampers the accuracy of the model because the individual contribution of the features cannot be obtained. This is called Multicollinearity.

This is a huge problem when it comes to algorithms like linear and logistic regression.

How to fix it?

We use the correlation matrix with heatmap to visualize the relationship of all the independent features with each other by their correlation coefficient values.

Generally, 0.7 is taken as the threshold which means if any 2 features have a correlation above 0.7, one of the two features can be dropped.

Exploratory Data Analysis

Conclusion

These were some important steps to perform in Exploratory Data Analysis and it also shows the importance of EDA when it comes to real-life projects. I hope everyone uses this technique while solving their project.

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By StackCommerce Team

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In the age of the millennia, we are obsessed with the fast-paced, tech-driven life bringing comfort to us at every level. However, like everything comes with a price, our modern lives are being pestered due to mental health issues. Every day we wake up and move on with our lives, keeping anxiety and depression under the veil, which according to a report by the World Health Organisation affects more than 56 million people in India.

The frequent trips to counsellors, psychiatrists that take our time and money, may not be able to relieve us of the unnerving state of our mind and body. However, here’s a thing that can actually do wonders for your cognitive health, and that is penning down your mind through blogs.

The stigma attached to getting mental aid, or the time and efforts taken, etc, wouldn’t be something to worry about when you create your own journals or blogs.

Not just sharing your experiences with others, but also hearing out the stories of other people through blogs and posts, would ultimately help you know yourself better. Your writing passion, stemming from your experiences and perspective will be lifted once you start blogging.

A blog can literally be the most rewarding thing one can create. Putting your thoughts down in the form of a blog can not only prove to be cathartic but also therapeutic. According to Cross barriers, it can even inspire millions to undertake a noble cause. Telling about a particular problem or letting your readers know how a particular state or condition has been turning out for you would eventually help more people than you think. Central to the process is the chance for you to explore writing and shape your own story.

Cross Barriers’s – #MentalWellness Awareness Campaign

The benefits of indulging in expressive arts such as writing, blogging, etc have not been unfamiliar to us. Even doctors documented its psychological benefits such as less over-thinking, reduced levels of anxiety or depression, etc.

The touted healing benefits that come with writing about traumatic and stress-led experiences are profound. Not just that, write often to release any negative or positive feeling, expression that lies within you and your head starts feeling light already!

Mental health isn’t one size that fits all, rather it is multi-dimensional. A blog is your playground, where you can write about whatever interests you and stimulate your mind, snubbing the rest. Be inspirational, be yourself as a blog is just another manifestation of your personal expression.

Not only can blogging be your personal escape from the monotonous world, it can also be a medium for you to be valiant and expressive. If you want to take your flair for writing to the next level, a self-hosted blog with an authentic vision, and your own domain name is a good way to proceed. Turn it into a professional blogging platform that will help you earn while doing what you love.

Blog your way to self-fulfilment

Blogging is more than just writing, it can turn out to be your way to self-discovery. Talking about things that resonate with your mind and heart, while taking into consideration its relevance, will lead you to self-fulfilment.

The online medium has transcended borders, connecting people across the globe. With the power of blogging, you have the ability to change yourself and others around you. This also makes you feel more connected than ever before. When you feel like your voice matters, the sense of empowerment and importance is felt, which will have a great impact on your emotional as well as mental state.

Blogging gives you both options: either to create an identity for yourself or to be hidden under a pseudo-identity, with the tag “anonymous”, allowing you to express more freely. Either way, the choice is yours.

The science of better mind with blogging

 Jotting and learning things help kindle your brain, providing the neurons with a much-needed exercise. Blogging can also help you stay mentally fit, hold intelligent conversations, have a good memory, etc. Also adding a more public element to your writing, it is suggested that communal communication offers additional psychological benefits. In 2013, researchers at the University of Haifa stated that writing a blog is proven to be more effective than writing in a private diary as it improves self-esteem, lessening social anxiety and emotional distress.

Whether it’s the bottled up feelings or negative thoughts, word your every emotion through blogging. It is a medium of social interaction, which can really bring amazing things to you. So start with your journey now and look forward to sharing your experiences and stories. Good luck!

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Sourced from Thrive Global