Sunday, December 31, 2017

2017’s underrated VR games and experiences

Something every woman should know - WHY MEN LIE!


2017 is wrapping up and so reflect we must on the year that was. By now you’ve hopefully seen our extensive list of nominees for our Best of 2017 awards, which we think do a pretty great job of representing the VR industry in 2017. But, as with any medium, there are a handful of apps that flew under the radar this year that we really, really don’t think you should be missing out on.

Some of these are already included in our nominations, but we’re still highlighting them here. These are the games and apps that didn’t get Oculus-backed marketing campaigns, prime spots on Viveport, or simply just didn’t make as big of a splash as we thought they should have in 2017. So once you’re done with Lone Echo and have ventured through Skyrim, maybe give some of these a spin.

Statik from Tarsier Studios (PSVR) – review

Perhaps it’s fitting that Statik remains an obscure gem in PSVR’s crown, left waiting to be discovered and examined, just like the game’s ambiguous story. In this VR debut from Tarsier Studios, you play as the lab rat of the bizarre Dr. Ingen, solving puzzles that take the form of contraptions locked to your arms, tracked in VR using the DualShock 4 controller. It’s an ingenious design that makes for one of VR’s most curious experiences so far, and something that will leave you picking the pieces of its plot apart for weeks after.

The Invisible Hours from Tequila Works (Rift, Vive, PSVR) – review

Rime developer Tequila Works seemingly produced this incredible piece of VR storytelling from thin air, with very little hype leading up to its release. The Invisible Hours is good enough to earn three spots in our best of 2017 nominees, though, telling a fascinating elseworld tale surrounding the mysterious murder of Nikola Tesla. You follow the action in real-time, but can rewind and explore at any point. Step-by-step you piece together a twisted narrative with characters and surprises that won’t soon be forgotten.

Frontier VR/Echo Grotto from Gaugepunk Games (Rift, Vive) – review

Gaugepunk Games is a developer you should really be paying attention to. Within the past 12 months the indie studio has released two of VR’s most immersive and wondrous experiences. Frontier VR presented three highly detailed environments that were a joy to lose yourself in, feeling the chill of winter or the heat of the sun as you watched nature at work. Echo Grotto, meanwhile, made for a fascinating caving experience that encouraged you to explore every nook and cranny of its intricate layers. You can get both of these apps together for just over $10 – don’t miss them.

Virtual Virtual-Reality from Tender Claws (Daydream)

Virtual Virtual-Reality is every bit as funny, bizarre and memorable as Accounting, but sadly doesn’t seem to have found the same kind of audience seeing as it’s only available on Daydream. In this surreal vision of the future you use headsets to rapidly travel from one reality to another, interacting with environments as you go. The game has something fresh and exciting to show you around every corner, and its sheer sense of imagination makes it a joy to experience from start to finish.

Form from Charm Games (Rift, Vive, Windows) – review

Form is another game that’s got a fair few nods in our nominees for the best of the year, but we still feel like more people need to play it. This is an enchanting VR adventure that takes you on a strange and surreal journey through fantastical environments with puzzles that are easy to solve but a joy to interact with. There are new sights and sounds to fall in love with every few minutes in Form, making for a rollercoaster ride that you won’t soon forget.

Eclipse: Edge of Light from White Elk Studios (Daydream) – review

Eclipse is one of the few mobile VR games that I’d suggest anyone with a PC or console-based headset still try and seek out to play. It’s an epic sci-fi adventure in which you crash land on an alien planet and explore the remains of an ancient civilization with some great platforming elements to boot. Eclipse is stunningly immersive, often easily succeeding in convincing you that you’ve touched down on an undiscovered planet. If you happen to have a Daydream-ready smartphone, this is a great reason to pick up a View headset.

Tiny Trax from FuturLab (PSVR) – review

Velocity developer FuturLab knows its stuff. The team has built a well-earned reputation for mechanical precision that makes its games hellishly addictive. For its VR debut, FuturLab took its foundation and applied it to multiplayer, creating it’s own brand of Micromachines that was tough to master, but rewarding to play once you got a grip on it. Sadly, there isn’t too much to do outside of multiplayer, so this one you should consider picking up if you can convince a friend to take the plunge with you.

This story originally appeared on Uploadvr.com. Copyright 2017

The PC Gaming channel is presented by Intel®'s Game Dev program.

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Wednesday, December 27, 2017

4 creative ways brands use Alexa skills in content marketing

Something every woman should know - WHY MEN LIE!


As we enter a new year, it’s important to take a look at emerging marketing technologies and understand how they might fit into your annual goals for content planning. Voice is certainly one of the technologies content strategists and site owners should keep an eye on for 2018, and Alexa skills offer a relatively natural entry point for brands focused on churning out useful consumer content.

We’ll likely see a flurry of brands hop on the Alexa skill bandwagon in 2018, but as with all marketing tactics, not all brands will do it well. Simply creating a skill without clear user objectives and brand authority behind it is unlikely to yield the results you’re after. You must identify a voice for your brand and stick to it in your scripts, develop audio cues and music to provide a better listening experience, offer extensive information that won’t overwhelm your users, and take time to carefully craft a call-to-action (CTA) that works on a voice platform.

Fortunately, several brands have already taken the plunge in creating Alexa skill content, providing examples of what works on this new content platform and what doesn’t. Taking the time to understand what they have done well and what they could do better can help you as you work toward launching your own skill.

Here are four examples of creative ways brands use Alexa skills in content marketing.

1. Ask Purina

The Ask Purina skill offers up detailed information on various dog breeds. The brand’s goal for the skill is to help aspiring dog owners find the right breeds to fit their needs based on the criteria they provide. Users can use the skill to ask Alexa things like “Tell me which breeds are best with children” and “Find breeds that are good in apartments.” The skill reaches users who are likely to use Purina’s product as potentially new dog owners who have yet to establish brand loyalty to another dog food. User comments praise the amount of quality information the skill provides and also seem to appreciate its integration with Amazon Echo Show devices.

The skill currently has a 4.5-star rating from nine users. The only negative review says Purina “excludes the American Pitbull.” Feedback from only nine users doesn’t really give you a lot to work with, but most skills don’t have a lot of user reviews at this point. That’s why it will be important to check comments on multiple skills over time.

2. Tide — Stain Remover

The Tide Stain Remover skill offers up a brilliant example of content marketing using the Alexa skill market. The skill provides users with detailed, step-by-step, voice instructions on removing over 200 types of stains. It provides extremely useful content to consumers who have already realized they need help with removing a stain and establishes goodwill for the company that specializes in providing garment care products.

The skill currently has a 3.5-star rating from 25 consumers. The bulk of the negative reviews say the skill plays commercials that make them lose interest. This could be an example of going a bit overboard with the CTA, but the overall concept is useful and on-brand.

3. Johnnie Walker

Whiskey connoisseurs often take their consumption pretty seriously. Johnnie Walker tapped into this in its attempt to use an Alexa skill for content marketing. The skill, which has a 55-star rating from 11 users, offers the options to choose a label based on personal preferences, buy a bottle, learn a little more about whiskey, or partake in a guided tasting. Users must confirm they are at least 21 years old to access the skill. This skill is an excellent example of how a brand can maintain consistent messaging and topical relevance while providing a piece of voice content that consumers can interact with.

Though the skill has exclusively positive reviews, one drawback for new users could be the heavy focus on Johnnie Walker products. If the brand were to modify the skill to appeal to users who are not already loyal fans of their particular brand of whiskey, it could help them attract new buyers.

4. Zyrtec — Your Daily AllergyCast

If you have allergies, you likely understand how unexpected sniffling and watery eyes can put a damper on an otherwise beautiful spring outing. Allergy medicine brand Zyrtec created a skill to help allergy sufferers evaluate weather, pollen count, and prominent allergens in their area before they leave the house. The skill even provides a personal Allergy Impact Score that tells users how the day’s allergens might make them feel. This is a smart play for the brand as it encourages users to pick up a bottle of allergy meds on certain days. The best part is, it provides a helpful resource for potential product users regardless of whether or not they choose to purchase specifically from Zyrtec.

The skill only has a 3-star rating from 22 users, which indicates it could stand to work through a few bugs. Users specifically noted city identification as an issue. Initial bugs aside, the overall concept of the skill provides a solid example of how content marketers can create interesting voice content for their brands.

Adapting your approach for voice marketing

As you prepare your voice strategy in 2018, it will be important to note the wins and fails of the skills currently on the market. This will help you gain a deeper understanding of how a skill can either help or hinder your brand’s reputation when you set it loose in the Amazon Marketplace.

For example, Zyrtec’s city recognition bug earned their skill a low rating and turned multiple users away. Perhaps more thorough QA testing could have helped prevent this?

On the flip side, commenters on Purina’s skill seem jazzed about its ability to integrate with the Echo Show to display photos of different dog breeds. Maybe similar visual integration would be helpful for your users?

And how about all the comments on Tide’s skill that complained about the long and overly promotional CTA? It might be worth analyzing its approach to determine how you can make yours more concise and less annoying.

Before you hop on the Alexa skill bandwagon this year, take time to research the current market and develop a better understanding of what consumers need and want from you on this medium. After all, you have the luxury of looking to the early adopters to identify details that make and break branded skills.

Cosette Jarrett is the guest post editor of the AI and Transportation channels at VentureBeat.

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How Alexa carved out a place in my Siri-only life

Something every woman should know - WHY MEN LIE!


Like many Apple users, I’ve carried a Siri device everywhere since 2011, so when Amazon introduced the original Echo speaker in November 2014, I couldn’t accept an AI assistant that was “anchored” to the $200 speaker’s single room. Why would I want to use Amazon’s Alexa only in my kitchen, for instance, when I could get similar assistance anywhere from the iPhone in my pocket?

As 2017 comes to a close, I still wouldn’t want a one-room-only AI assistant. But now that Echo speakers start at only $50 — $30 on sale — I can easily accept having separate or linked AI assistants anchored all throughout my home. Amazon anticipated this last year by offering Echo Dots in discounted 6- and 12-packs; it more recently offered discounts on 3-Dot and 6-Dot bundles. The latter deal offered six (or seven) rooms of Alexa coverage for less than a single Apple HomePod, which still doesn’t have a launch date.

My family prefers Apple products, but we’re not adverse to trying other options if they make sense. Amazon made its way into my parents’ house earlier this year, when a first-generation Echo introduced Alexa to my dad. He showed the Echo to my iPad-loving kids, who returned from grandma and grandpa’s talking about the fun they’d had “talking” with Alexa. Then, earlier this month, Alexa arrived at my home when I auditioned a second-generation Echo before deciding to take a chance on the brand-new touchscreen-equipped Echo Spot.

Despite my initial reluctance, Alexa has earned a place in our house alongside Siri, which is built into many of my family’s devices yet barely gets used due to its numerous issues. How did Amazon pull off a feat that other companies have found all but impossible: undermining Apple’s seemingly unstoppable march into every aspect of its users’ digital lives?

How Alexa made its way into my home

In short, after tinkering with various form factors and price points, Amazon created an Alexa device that appealed specifically to my needs. Some people don’t already have Bluetooth speakers, but due to my job, I’ve had too many, and wasn’t looking to buy another. Once Alexa was integrated with a product I could use, and the price was right, I was willing to give it a shot.

For me, the hook happened to be alarm clock functionality. I’ve been ready to replace my iHome clock with something smaller and better, though I wasn’t in any rush. When Amazon showed off the Echo Spot in September, I was immediately intrigued: The $130 semi-globe combined the novelty of a programmable color-screen alarm clock with several established Echo features that were appealing, namely Alexa, third-party Alexa Skills, video calling, and actual telephone calling. As soon as the Spot became available through a special holiday deal, I ordered one.

While this isn’t meant to be a review of the Spot, it’s worth underscoring that Alexa’s AI functionality wasn’t the device’s key selling point for me. Like many people, my family gave up our dedicated home telephone line in favor of cellular phones, so Spot’s ability to serve as a permanent home-calling solution — without requiring my iPhone to be nearby — was particularly appealing. I was also pleasantly surprised to find that the Spot is capable of making two-way video calls both to other Alexa devices and to devices with the Alexa app installed — including FaceTime-capable iPhones and iPads. Combined with the alarm clock functionality, the only feature that’s unique to the Spot, these features collectively guaranteed that an Echo of some sort would remain useful in my home.

Given how many different Alexa devices Amazon now makes, and the ways your situation may differ from my own, it’s a safe bet that your first Alexa product probably won’t be (or wasn’t) an Echo Spot. But the general premise will likely be the same: Alexa will be inside some Amazon device you find appealing, and you’ll buy it once it hits a price point you find appealing, perhaps at a discount.

When Alexa was first announced, I was unimpressed by its limited capabilities, its reliance on a $200 speaker for communication, and the fact that it was being developed by a retailer that had only a limited reputation for developing hardware, software, and services. If Amazon came to constitute a threat, Apple would decimate it… right? Wrong. Amazon quickly began chipping away at each of Alexa’s disadvantages and turned them around, while Apple flailed.

Key #1 to Alexa’s success: A better AI experience

First, Amazon made Alexa more capable of answering questions on its own and introduced Skills so third-party developers could further increase its functionality. Beyond Alexa’s integrated knowledge and conversational abilities, there are now over 25,000 optional Alexa Skills, and almost all of them are free. During a period when complaints about Siri server hiccups and voice recognition issues continued to pile up, Alexa gained in breadth, depth, and responsiveness.

Amazon also created Alexa Prize competitions, encouraging universities to develop next-generation conversational tools for the service. Not coincidentally, it became fun to talk with Alexa, something that hasn’t been true about Siri since its early, somewhat creepy days of offering suggestions about where to hide bodies. To Apple’s credit, its updates to Siri have made the assistant’s voices sound markedly more natural across multiple languages, but Siri continues to suffer from a robotic “personality” and surprising functional limitations.

Key #2 to Alexa’s success: Many forms + prices

Second, Amazon developed a range of products to house Alexa, from the basic $50 Echo Dot to a $230 touchscreen-equipped Echo Show, while lowering the price of the “middle of the road” Echo to $100. This has turned out to be a critical differentiator between Amazon’s and Apple’s approaches. The least expensive device with full Siri capabilities is the all-but-unadvertised $199 iPod touch; the $150 Apple TV with seriously limited Siri is Apple’s only cheaper point of entry.

Over the holidays, Echo Dot sold for as little as $30 new, and only very recently has it seen competition in Google’s similarly priced Home Mini. It’s no surprise Amazon announced that the Dot was the season’s “best-selling product from any manufacturer in any category across all of Amazon, with millions sold.”

Just as Apple once discovered with the iPod shuffle, a cheap entry-level model opens the doors to customers who will eventually be willing to pay more. Yet Apple’s going in the opposite direction with its HomePod, which at $350 will be one of the most expensive “smart speakers” in the marketplace. No mainstream customer will be willing to shell out enough cash to equip an entire house with HomePods, but at 1/7th or 1/10th the price, a home full of Echo Dots purchased in bundles is easy to imagine.

Key #3 to Alexa’s success: Retailer’s advantages

With comparatively little experience making speakers, Amazon could have followed the standard speaker company paradigm of selling hardware on the strength of specs and audio performance. Instead, Amazon put a lot of effort into the Echo’s services while leveraging its status as a retailer to radically expand both its distribution and Alexa’s ability to sell other products.

Because it sells products directly to consumers, both online and through its recently acquired chain of Whole Foods stores, Amazon can offer impressive discounts on Echo devices without running its pricing by other retailers. Unlike Apple, which typically sets prices to achieve industry-leading profit margins regardless of unit volumes, Amazon is glad to chase high-volume sales with comparatively small profits to build market share. There’s not a chance in the world that a $350 HomePod will be any major retailer’s best-selling product next year. Amazon may make as little money on its multiple millions of Echo Dots as Apple makes on fewer HomePods, but it will have millions of new customers due to one AI product, and Apple will not.

Amazon also lets you order its own and third-party items using Alexa, sometimes while enjoying Alexa-specific discounts. This particular advantage is highly appealing to frequent Amazon customers and may well be unmatchable for Apple. Apart from offering discounts on Apple products — something it is loath to do — Apple would have to partner with other retailers to offer Siri-specific deals. It did test the waters with a number of short-lived Apple Pay promotions over the holidays, but they weren’t particularly compelling.

How should Apple respond?

Even though it effectively forfeited the 2017 holiday season to Amazon (and to a lesser extent Google), Apple has a history of coming on strong when it decides to enter a market. I’ll explore its best tactical moves in a followup very soon.

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Why the Top of Your Funnel is Almost Always More Profitable than the Bottom

Something every woman should know - WHY MEN LIE!

Yes. AdWords converts better than most other channels. Anywhere, ever.

But. That doesn’t mean it’s the only option. Or even the best option.

Two reasons why:

First, your cost per lead tends to be higher than other inbound channels. Chiefly because…

Second, AdWords doesn’t scale as well as other options. So you hit a point of diminishing returns. ‘Cause only 3.4% of search queries results in an AdWords click.

That ain’t a lot. ‘Specially on your ~5-10 niche keywords that actually convert.

The trick is to turn your attention from the bottom of the funnel back to the top.

Here’s why the top of your funnel is almost always more profitable than the bottom.

Closing and scaling BOFU deals isn’t sustainable

AdWords has intent. People search, click, and opt-in or buy.

It’s literally trained people to give you money.

It’s the ‘last touch’ so often that it becomes “easy to track ROI.” So like any self-fulfilling prophecy, the more attention it gets, the more “it works.” The more budget and labor and buy-in.

The problem is scale.

Especially when you’re paying $25 to $50+ per click. (Or more — I see you insurance and law.)

Conversions might be good on AdWords. But in many cases there’s (1) not enough to grow your business past six figures. Or (2) there’s not enough margin to reinvest in other areas.

Bottom-of-the-funnel advertising like this works well because you can throw down a few bucks and see a few more bucks come in not long afterward.

But here’s where more problems crop up.

High-end CPCs dramatically push up your Cost Per Leads. That, in turn, pushes up your minimum monthly ad budget. So it’s not uncommon to see ~$30k/month budgets in competitive niches on the low end (I’ve worked on a few myself).

You need so many leads to turn into customers. So you need to cast the net wide enough to convert a few measly percentage points.

Here’s the additional wrinkle, though.

According to a Salesforce B2B benchmark report, it takes an average of 84 days for a lead to become an opportunity:


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And that’s not even a final sale.

84 long, hard days to transition from a lead to an opportunity, and 18 more days to close the deal.

Now. What are your payment terms? Net 30 or worse?

You’re now looking at not recouping a single dollar from that $30k/month budget until the next quarter (at the earliest).

So in reality, you need like four or five times that budget to sustain you. It’s like working capital in finance. You need enough to keep the lights open until the money, eventually, flows back into your bottom line.

Fortunately, all hope isn’t lost.

There’s a powerful antidote to a sluggish, budget-sabotaging funnel. It goes by the name of: Brand Awareness.

The stuff that big, mega enterprises have invested in for years. But most SMBs and tech geeks shy away because it “doesn’t convert.”

Generating brand awareness is a cheap investment

Brand awareness is typically the goal of any top-of-the-funnel campaign.

You want to start positioning your brand favorably within the minds and hearts of consumers.

Unfortunately, it’s often overlooked. It’s the Great Brand vs. Performance Marketing debate.

On the one hand, ‘branding’ is like a clichéd buzzword that’s lost all meaning. And on the other, it’s only seen as viable for large companies with massive budgets. It’s a “nice to have,” not a “must have.”

To make matters worse, it’s nearly impossible to draw a direct line from brand building activities to sales. So it gets dismissed by all hardcore data geeks (even when data itself lies).

But here’s the thing.

When done correctly, brand building is an investment in future sales.

Take a look at Facebook ad expert Jon Loomer’s current ad campaigns:


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What do you notice?

First off, it’s all divided by a typical marketing/sales funnel.

Traffic/reach – TOFU
Lead generation – MOFU
Conversions – BOFU

Now take a look at the daily budgets for each. This is where it gets interesting.

He dedicates the majority of his budget to-top-of-the-funnel marketing activities.

Around $1,500 per month goes to top-of-the-funnel campaigns, and he only sets $300 aside for MOFU and BOFU tactics.

That’s a massive difference.

Why?

Why on earth would he invest $1,500 a month into campaigns that have zero chance of converting?

Why not dump that money into MOFU and BOFU campaigns with sale-based offers?

Because he’s making a future investment. You can’t convert sales when there isn’t enough built-in demand in the first place.

Let me explain with some data.

Nielsen conducted a massive study on understanding what drives sales, and they found that 59% of people buy products and services from brands that they recognize.


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Familiar faces are more likely to get the final deal.

But that’s not all.

SurveyMonkey and Search Engine Land found that 70% of consumers look for a known retailer when deciding which search result to click:


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That’s not surprising at all, really.

Think about it:

When you searched for “inbound marketing” recently, did you click on HubSpot or joeschmoe.net?

I’m gonna go out on a limb and say it wasn’t the latter.

Even if joeschmoe.net were ranking #1, you’d probably still click HubSpot at #5.

Cuz: Brand awareness = trust.

Brand recognition is a powerful way to drive sales.

And once you develop a brand reputation within your own space, you end up being able to drive traffic without having to take the normal funnel stage route.

Meaning you don’t have to pay to drive traffic anymore.

You don’t have to pay for ads and lead magnets.

You just have to focus on closing. You reduce your costs dramatically.

It’s time for some good news:

Building brand awareness is cheap.

I’m talking dirt freaking cheap. Pennies to the dollar cheap.


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According to Moz, Facebook Ads have the cheapest CPM (cost per 1,000 impressions) of any advertising platform ever.

Except they “don’t work,” right?

Maybe, maybe not. But try comparing that cost to the freaking newspaper, magazine, and radio CPMs then:


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And guess what?

You only have to spend $1 per day on Facebook as the minimum daily budget. That means you can reach 4,000 more people a day with ads based on brand awareness for a single measly dollar.


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Using expert-level mathematician skills, that’s 120,000 brand impressions each month for only $30.

That’s just about the cheapest brand exposure you’ll ever get. Like, ever.

That’s 120,000 more people seeing your brand than last month.

Here’s how to implement cheap branding on Facebook to keep your top of the funnel profitable and growing like never before.

Create a self-sustaining TOFU campaign on Facebook

Self-sustaining campaigns run and run and run.

It only takes three easy steps that you can complete in just minutes today.

Create a new, medium-sized saved audience based on your target market.
Create a remarketing audience based on those engaged users.
Create a new lookalike audience based on leads.

With this, you’ll only be spending a few bucks a day while simultaneously creating a campaign that maintains itself.

You just rinse and repeat each time the cycle completes to replenish your audience.

This way, you’re generating thousands of new visits and impressions to build brand awareness every single month.

More brand awareness = more recognition/trust = more sales in fewer funnel stages = less money out of your pocket.

To get started, fire up the Facebook Business Manager and head to the audiences section:

From here, select the option to create a new saved audience:

The saved audience is a great starting point to generate a big enough list for brand awareness campaigns.

Start by entering the basic demographic data associated with your target customers:

Next, it’s time to narrow it down a bit.

You can’t target 200,000,000 people with brand awareness ads. Unfortunately, there aren’t that many people who care about your company.

Start adding various interests related to your company. For example, if you sell SEO services, add that as an interest:

Are your services B2B? Narrow it down further:

Lastly, finish it off with some exclusions to avoid targeting users who typically don’t respond well to your products or services:

Next, hit save and name your audience so that you can recognize it later.

Now, head to the Ads Manager and create a new campaign based on the brand awareness objective:

Then, scroll down to the audience section and choose the saved audience you just created:

Next, set your budget to just a single dollar per day (or more if you have a larger budget):

Now it’s time for the creative.

For brand awareness ads, you don’t want to focus on converting someone to sales. Offers like that won’t resonate with users who have no clue who you are.

Give them value associated with your brand without asking for anything in return.

For example, take your latest blog post and use that as your creative.


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You’re done with the first step. Next up, it’s time to set up a remarketing audience based on visits to your brand awareness blog post.

First things first, you need to get your Facebook Pixel setup if you haven’t already. Head to the Events Manager and select the Pixels option.

Click to create your Pixel and give it a recognizable name for your site:

Next, install your Pixel code by selecting any of the listed options:

From there, simply follow the directions for each based on your choice to get your code installed.

Now, go back to the audience section and create a new custom audience based on website traffic:

Make sure that you select “People who visited specific web pages” as your criteria, and then enter the blog post you drive traffic to for your brand awareness ads:

If you want to get even more specific, narrow down the traffic by refining the frequency to two or more visits:

Still with me?

Next, hit save, and you’ve generated your second audience.

With this audience, you can bring back users and narrow your list down even further to the most brand-aware visitors.

Lastly, you’ll want to take that new custom audience and turn it into a lookalike audience.

That will allow Facebook to wrangle up more users for you to target who have similar interests and tendencies as your best performers in these campaigns.

Genius, right?

Head to the audiences section and create a new lookalike audience. Select the second remarketing audience you just saved as the “Source:”

Next, be sure to choose the 1% audience size to keep it targeted and dirt cheap (See: this study).

Hit save, and you’ve just created a self-sustaining top-of-the-funnel campaign to generate tons of brand awareness.

Phew. You made it.

Now it’s time to sit back and reap the rewards of a well-sown crop.

Conclusion

Yes. You should invest in AdWords.

But invest all you’ve got?

No. Probably not.

Not when you’re looking at ~four * $30k/month to start getting your first few customers. Not unless you’ve got a rich uncle hiding somewhere. Or a private equity firm cutting the checks.

Instead of following the typical playbook, flip the script. Invest in the stuff that’s going to make future sales easier and less expensive.

Invest in branding activities, that you have no way of tracking today, in pursuit of an easier tomorrow.

Brand awareness has the power to drive faster, funnel-skipping sales, at scale. And when done correctly, it can even be a cheap investment that will pay off dividends for years to come.

About the Author: Brad Smith is the founder of Codeless, a B2B content creation company. Frequent contributor to Kissmetrics, Unbounce, WordStream, AdEspresso, Search Engine Journal, Autopilot, and more.

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Tuesday, December 26, 2017

How SoftBank changed the venture capital game in 2017

Something every woman should know - WHY MEN LIE!


For all the turbulent developments in the tech world this year, the impact of SoftBank’s massive investment fund may loom largest over the startup world in years to come.

Back in May, SoftBank CEO Masayoshi Son announced that the fund had closed on $93 billion of its planned $100 billion fund. Announced the previous year, the publicly known investors in the fund include Apple, Qualcomm, and Foxconn.

During an appearance earlier this year at Mobile World Congress, Son explained the rationale for the fund as an attempt to place big bets on companies that would help him prepare for the moment when machines become smarter than humans. In advance of the “singularity,” he needed to be involved with a wide range of technologies that could offer data and insight into the rapidly evolving world.

“I believe this singularity is coming in the next 30 years,” he said. “And that’s why I’m in a hurry.”

A new report from C.B. Insights reveals the massive impact the Softbank Vision Fund had on venture capital in the U.S. in 2017. According to the report, SoftBank invested in 16 deals in the U.S. this year. Worth noting is that the report was published before SoftBank announced on December 19 that it had led a $120 million round in New York-based AI insurance startup Lemonade.

It wasn’t just the number of deals that was notable, but their size. According to C.B. Insights, SoftBank’s fingerprints were all over many of the biggest funding rounds:

And these numbers don’t include deals such as the current negotiation to buy a sizable chunk of Uber’s stock, a controversial deal that has split the company’s executive leadership and board. SoftBank has reportedly bid to buy shares from insiders at a valuation of $48 billion, well below the last reported valuation of $70 billion. Such a drop could add to the negative cloud surrounding Uber, as it struggles to repair its reputation after a disastrous year.

At the same time, SoftBank just announced it had just led its second round of funding in China’s Didi Chuxing this year, a $4 billion round that pegs the Uber rival at a valuation of $56 billion.

Indeed, while the C.B. Insights report focused on the U.S. market, many of SoftBank’s biggest bets were elsewhere. They include leading a $502 million investment in London-based virtual reality startup Improbable Worlds last May and a $1.4 billion investment in Paytm, the digital-payments startup based in India.

Of course, these big bets come on the tail end of an era that has led observers to caution that too many startups are already overvalued. Other VCs have been carping that SoftBank is driving valuations up even further with such large bets. And C.B. Insights cited SoftBank’s large checks as a factor that is keeping a lid on the tech IPO market.

Given the long horizon that Son claims he has, it could be many years before we know for sure whether such wide-ranging bets gel into some kind of cohesive whole, or whether these investments are justified by the eventual returns produced by individual companies.

But for the next couple of years, it would seem that SoftBank has the artillery and the reserves to grab just about any deal it wants. And Son is carving out a legacy as this decade’s high-tech wild man. We’ll see whether he’s remembered as a fool or a prophet.

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Saturday, December 23, 2017

3 disruptive industries that will thrive in the southern U.S. next year

Something every woman should know - WHY MEN LIE!


In the U.S., the Southeast’s tech ecosystem is traditionally strong in a few defined sectors: Fintech, SaaS, and health IT are among the industries thriving in terms of successful exits, high-growth companies, and venture dollars.

But just as the broader tech scene is constantly changing, new industries will emerge and pick up steam in the region. Over the next year, driven by support from public and private entities, as well as innovation from new startups, these disruptive technology sectors stand to grow in the South.

Cybersecurity

It’s no secret that  cybersecurity is mission-critical to every company, but several highly publicized and far-reaching hacks this year have gotten the South’s state and local government bodies to think about how they can increase their cybersecurity investments.

The state of Georgia, which already generates more than a quarter of worldwide information security revenue, is developing a $90 million dollar plus cybersecurity training center in Augusta. This multi-building campus will be one of the country’s few state-owned cyber ranges. Currently, only four states (Michigan, Virginia, Rhode Island, and Arizona) have state- owned cyber ranges, though others have indicated interest. The campus will also house the Georgia Bureau of Investigation’s cybercrime unit, cybersecurity startups, and academic partners.

“Given Georgia’s growing status as a technology and innovation hub, this additional investment will further cement our reputation as the ‘Silicon Valley of the South’,” said Georgia governor Nathan Deal in a statement about the center.


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The affiliated universities include seven public schools designated as National Centers of Academic Excellence in Cyber Defense. Georgia Tech was one of the first schools to offer a master’s program for cybersecurity and remains a leader in the field. These schools continue to invest in new programs to ensure they are graduating the caliber of talent the cybersecurity field will need to fill this rapidly expanding, unfulfilled job market.

Public sector groups also collaborated with private entities in the first ever Atlanta Cyber Week, a week-long conference with over 1,000 attendees that aimed to bring together the region’s top minds in the industry and set the stage for Atlanta to become a globally recognized cyber hub.

Smart city tech

For the last several years, larger cities like Atlanta have been keen to utilize smart IoT (internet of things) technologies to tackle urban challenges like traffic congestion and public safety. Now, smaller cities in the South are piloting innovative programs that stand to have a big effect on streamlining operations.

In the heart of the tech-friendly Research Triangle of North Carolina, the city of Durham has kicked off a 12-week incubator program that gives select startups a way to test their products or services using city data and infrastructure. In its first round, Innovate Durham received 34 applications from startups. A review committee selected four, ranging from a real-time parking solution to a VR/AR company that will showcase new proposed construction projects in a virtual environment.

In the nearby town of Cary, North Carolina, officials are letting startups test smart city projects at the town hall. They’ve created a living lab on government property — what they’re calling a Simulated Smart City — to test such technologies as smart parking sensors and smart streetlights. This approach can allow officials, whose budgets are often tight, to collect data and analyze which technologies will actually help solve pain points before investing taxpayer dollars in new infrastructure.

Commercial space industry

It’s well known that Huntsville, Alabama, nicknamed Rocket City, has deep roots in the space program. Florida, Virginia, and Mississippi are also home to federal space centers. But with the growth of the commercial space industry, the South stands to further its space legacy.

Georgia, a state that counts aerospace products as its No. 1 export and ranks fourth in the country for aerospace workers, has not been shy about its intention to break into the private space business.

The first step was a bill informally known as the Georgia Space Flight Act — signed into effect this past summer — that limits liability for space companies launching from the state. The act was intended to signal that Georgia is welcoming and open to the commercial space industry.

Shortly after the passage of this bill, commercial space startup Vector conducted a low-altitude test launch of its micro rocket from Spaceport Camden, a campus located in a sparsely populated county in the southeastern corner of Georgia. Over half a century ago, the area around Spaceport Camden was considered by NASA as a potential site for the Apollo moon missions. Now, the county is leading an effort to turn it into an FAA-licensed commercial spaceport.

Spaceport Camden project lead Steve Howard has said the spaceport would be a major boon for the state as a whole.

“You’re really seeing a new renaissance with the new space race,” said Howard. “What an opportunity to play a part of it. And I think the sky’s wide open for Georgia to be able to really play an active role in the space race.”

For startups, the benefits of going through a fully commercial spaceport are considerable. For starters, it’s less expensive and may take less time to launch from one of these sites. That’s important for competitive private companies as more and more startups enter the field.

Should the spaceport become licensed, it could be a viable place to attract aerospace talent in the region, as well. Georgia Tech’s Guggenheim School of Aerospace Engineering is one of the largest programs of its kind and ranked No. 2  in the country, but many graduates move out of the state to seek jobs, says Howard. Officials want to keep those minds in the South.

Of course, nobody knows what the future will hold, especially when it comes to new technologies. This time last year, would anyone have guessed that ICO (initial coin offering) would be the tech term of 2017? But the building blocks that have already been put in place this year in cybersecurity, smart city technology, and aerospace suggest that these are industries that could truly thrive in the South. If they stand the test of time, they could create jobs, spur innovation, and help the region continue to develop as a place where game-changing technology can develop — outside of Silicon Valley.

Holly Beilin is the editor-in-chief of Hypepotamus, a publication that covers the southern innovation ecosystem.

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Why you want blockchain-based AI, even if you don’t know it yet

Something every woman should know - WHY MEN LIE!


The other night, my nine-year-old daughter (who is, of course, the most tech-savvy person in the house), introduced me to a new Amazon Alexa skill.

“Alexa, start a conversation,” she said.

We were immediately drawn into an experience with new bot, or, as the technologists would say, “conversational user interface” (CUI).  It was, we were told, the recent winner in an Amazon AI competition from the University of Washington.

At first, the experience was fun, but when we chose to explore a technology topic, the bot responded, “have you heard of Net Neutrality?” What we experienced thereafter was slightly discomforting. The bot seemingly innocuously cited a number of articles that she “had read on the web” about the FCC, Ajit Pai, and the issue of net neutrality. But here’s the thing: All four articles she recommended had a distinct and clear anti-Ajit Pai bias.

Now, the topic of Net Neutrality is a heated one and many smart people make valid points on both sides, including Fred Wilson and Ben Thompson. That is how it should be.

But the experience of the Alexa CUI should give you pause, as it did me. To someone with limited familiarity with the topic of net neutrality, the voice seemed soothing and the information unbiased. But if you have a familiarity with the topic, you might start to wonder, “wait … am I being manipulated on this topic by an Amazon-owned AI engine to help the company achieve its own policy objectives?”

The experience highlights some of the risks of the AI-powered future into which we are hurtling at warp speed.

It’s a reminder that big companies, such as Amazon, have traditionally had big advantages when it comes to big data and AI.

The trust problem with centralized big data

According to Trent McConaghy, CTO of BigChainDB, AI took a huge evolutionary step forward in 2001. This was when two Microsoft researchers named Banko and Brill discovered something that now seems obvious to all of us: The bigger the data set you’re analyzing by orders of magnitude, the lower the error rates you get.

The era of Big Data was officially upon us and the race was on.

But if the race is about gathering, storing, and analyzing as much data as possible, then who is in the pole position to win? That’s right, the FANGs in the U.S. (Facebook, Apple, Netflix, Google), the BATs in China (Baidu, Alibaba, Tencent), and the wealthy Fortune 1000 or so multinational corporations.

They are the only ones with the reach and capital to get more data, store it, analyze it, and build AI models on top of it. What’s more, they are the only ones who can offer starting salaries in the $300,000 to $500,000 range and top-tier salaries that extend into to seven and eight digits. Your son or daughter may not make it to the NBA or NFL, but become a top AI scientist and you’re doing great.

The net effect of all of this is that the rich become even richer and more powerful and the barriers to innovation become even higher.

It is not only innovation that suffers, however. The closed nature of big-company AI means society must put its trust in “black boxes.”

Let’s look at how AI works to help make this clear. There are three layers that are essential

  1. The data repository
  2. The algorithm/machine learning engine
  3. The AI interface.

If you are going to trust your decision-making to a centralized AI source, you need to have 100 percent confidence in:

  • The integrity and security of the data (are the inputs accurate and reliable, and can they be manipulated or stolen?)
  • The machine learning algorithms that inform the AI (are they prone to excessive error or bias, and can they be inspected?)
  • The AI’s interface (does it reliably represent the output of the AI and effectively capture new data?)

In a centralized, closed model of AI, you are asked to implicitly trust in each layer without knowing what is going on behind the curtains.

For a simple conversation with a nine-year-old, this may not be the end of the world. But for certain African-American criminal defendants, the implications can be life-altering: According to both the New York Times and Wired, the use of a proprietary machine-learning system called COMPAS, which is used by courts in many parts of the U.S., actually recommends longer prison sentences for blacks than whites, with all other data points being equal.

In effect, the AI makes racially-biased decisions, but no one can inspect it, and the company that makes it will not explain it. It’s closed, it is hidden, and models like these are in the hands of big, powerful companies have no incentive to share them or reveal how they work.

How blockchains level the playing field and add trust

Over time, more and more data will flow into blockchains, and that will reduce the big data advantage that the FANGs, BATs, and Fortune 1000 have over the little guys.

As Deepak Dutt, CEO of AI-based identity proofing company Zighra says, “When data is commoditized, AI algorithms become the most valuable part of the ecosystem.” In other words, we’ll see a power shift from those who own big sets of data to those who build smart, useful algorithms.

That’s great, but if we’re moving data to blockchains, some big, thorny questions still exist. For example:

  • Where does the data go?
  • How is it discovered and utilized?
  • Why would people put their data in there?
  • And don’t the “big guys” still have a huge advantage in terms of building powerful AI?

Welcome to the world of Blockchain+AI.

3 blockchain projects tackling decentralized data and AI

A number of projects have popped up to reward people through cryptographic tokens for making their data available through a decentralized marketplace. The result could be ever-more accurate AI models and the ability to create valuable conversational user interfaces, all with the trust and transparency that blockchains offer.

We are going to look at three of them.

1. Ocean Protocol. On the repository level, the Ocean Protocol aims to create a “decentralized data exchange protocol and network that incentivizes the publishing of data for use in the training of artificial intelligence models.” Put more simply, if you upload valuable data to the Ocean network and your data is used by someone else to train an AI model, you are compensated.

Let’s take one of my favorite examples, my Nest thermostat. Right now, data is uploaded constantly from my thermostat to Google. With data from me and all other Nest owners, Google has a really strong data set against which it can build AI services that could, for example, know when someone should send an offer of insulation or new windows to my house.

That data, which is mine (and yours), has value, but Google currently gets it for free.

What if, however, an enterprising home automation AI scientist (let’s call her Alice) believes she can build a better model than Google can?

In the Ocean model, Alice would license your data (and the millions of other data points out there) and compensate you with some amount of Ocean tokens.

Now think even bigger …

All of that data you are giving away for free (Nest, Fitbit, Hue lights, Ring doorbell, and every other IOT device out there) now has

  • data integrity (everyone knows the source of the data)
  • clear ownership (you)
  • and thanks to cryptocurrencies and blockchains, a cost-effective way to buy and/or lease it.

You’re happy, since you’ll be getting compensated for something you’re currently giving away for free. Alice is happy, since she (eventually) will have access to the same dataset that Google has. Boom — playing field leveled, thanks to an open data marketplace. And we’re all safer from bias and error because the AI built on this data comes with more transparency, since the data sets that inform the models are known.

Another notable player in this space is IOTA, which already launched its marketplace.

2. SingularityNet. Now, let’s say Alice has really cracked the code on a powerful AI algorithm that could help marketers, government officials, or environmentalists understand how weather patterns affect energy consumption. That’s where SingularityNet comes in, focusing on the AI level.

SingularityNet, which just closed its hotly anticipated ICO and has a strong leadership team, including AI pioneers Ben Goertzel and David Hanson, aims to be the first AI-as-a-service (AIaaS) blcockhain-based marketplace. In their world, Alice offers up her model (for sale or rent) to others for use against their own dataset. Thanks to a standardized AI taxonomy, a search engine helps users discover and rapidly integrate Alice’s model with complementary models, creating even more powerful and better trained models.

Coming back to our Nest example, let’s say that Alice’s model is built to study the home energy market in New York City. Combine that with models for Newark, Stamford, and Long Island, and you can start getting even better insights about tri-state area consumption.

Since ownership of the model is clear (it belongs to Alice), her intellectual property is protected. Every time her model is used, she is compensated in SingularityNet’s AGI tokens (AGI being the acronym for Artificial General Intelligence). Now you have the data sets that the big guys have AND access to the AI models they have as well.

For those of you familiar with the crypto space, the project will sound a lot like Numerai, albeit with a more broad focus than the hedge-fund disintermediation objective Numerai has.

The implications of a successful rollout of the more broadly focused SingularityNet on every industry could be quite dramatic. It should lead to an arms race in terms of AI models among industry competitors and will likely impact the required skill sets for jobs of the future.

3. SEED. Finally, at the interface level comes SEED, a project that is looking to give us all confidence that we can actually trust the bots in our lives.

According to SEED, “The bot market is estimated to grow from $3 billion to $20 billion by 2021,” a projection that means interactions like the one my daughter and I had with Alexa will become much more common and potentially more risky. After all, even if you completely trust Amazon, there’s still the possibility the bot you are interfacing with has been hijacked.

The solution for this is the combination of the SEED Network, the SEED Network Marketplace, and the Seed Token.

The SEED Network is an open-source, decentralized network where any and all bot interactions can be managed, viewed, and verified. It is also the framework for ensuring that the data fed into the AI via the conversational user interface aka “bot” can be assigned a data owner who can be compensated for it.

The Marketplace is the way aspiring bot creators, like AI model creators, can sell and license the various components they have built to others who need the services. While the University of Washington students who built the winning AI for Amazon were probably thrilled with their $500,000 check, they would probably be more thrilled to get a small royalty on every interaction their CUI has with Alexa’s users in perpetuity.

Finally, the SEED token is the mechanism through which bot creators and data owners (you and I) are compensated for the value created inside the network.

To round it out, let’s come back to Alice. She has not only built an AI for home energy use, she has built a bot that will periodically ask you, “Hey, are you feeling hot or cold in your house right now?” When you answer, you are feeding data into the AI and into the AI repository. That’s your data. Why shouldn’t you be compensated for it? After all, it makes the AI better and enriches the data repository. SEED says you should, and it secures your asset rights in the blockchain.

When all is said and done, SEED will offer you better protection for the data you offer and greater confidence in the authenticity and reputation of the bot with which you are interacting.

The promise of blockchain-based AI

Blockchain-based AI projects are still in very early development, and the big data kings have a huge advantage, but so did the Atlanta Falcons at halftime of last year’s Super Bowl.

As blockchains drive into the mainstream, we will see more and more data hitting decentralized marketplaces and exchanges. As people realize the value their personal data has, along with the opportunities to monetize it, and as networks like SEED, SingularityNet, and Ocean mature, we will see a tipping point in the evolution of big data, moving from a closed, siloed phenomenon to open systems where the creators of data are more fairly rewarded for their contributions.

It is too early to tell which protocols will be the winners and whether these three first movers I’ve pointed to will remain in the lead or lose out to the next wave of fast-followers.

The only clear thing is that the winners will be the developers and consumers whose data and intellectual property will be rewarded and whose experiences will be protected from bad or manipulating actors by open, transparent systems.

Jeremy Epstein is CEO of Never Stop Marketing and author of The CMO Primer for the Blockchain World. He currently works with startups in the blockchain and decentralization space, including OpenBazaar, IOTA, and Zcash.

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Wednesday, December 20, 2017

How Heartland startup communities can think outside of tech

Something every woman should know - WHY MEN LIE!


My introduction to the startup community in St. Louis came by accident. I stumbled into it while looking for stories of innovation and positive change in a city labeled as racist and backwards following protests in Ferguson, Missouri in 2014. The negative news cycle felt suffocating, so I started a podcast called STL Community Cast, in which I interviewed local innovators to share the stories of their work.

My first interviews were with people working in nonprofits. St. Louis has the most nonprofits per capita of any city in the country, so this was an easy place to start. Soon, I become aware of the influential role tech startups were playing in the community. Through a recommendation by a friend, I reached out to Tyler Mathews, who now is director of Venture Café St. Louis. Tyler suggested a few other guests for the podcast, and the ball was rolling. With each new guest, I’d get a couple of referrals.

This was exciting for me because I wanted the city to own a new positive identity, and we already had it — I just hadn’t been aware of it. I realized St. Louis was — and is — a special place for innovation and entrepreneurship. Much of it was happening in the tech space, but not all of it.

I think that my experience offers up a valuable lesson for startup founders in the Heartland. Some of their neighbors might not be familiar with tech terms like “UX design” or “blockchain,” and might not readily understand why it’s so important to create a greater density of tech startups. But their neighbors likely do understand the importance of working together to create positive change in the community and to develop a reputation for innovation. This can be done by creating startup events with this end goal in mind.

One of the first startups I met with when I created STL Community Cast was Good Life Growing, an urban farm operating in a poor, desolate neighborhood of North St. Louis. Using aquaponics, a sustainable method for growing produce, Good Life Growing provides organic food at little or no cost to people in a food desert.

The farm sits on a lot that had been vacant, surrounded by crumbling brick houses. Neighborhood kids stop by to lend a hand and learn how food is grown and why nutrition is vital to our health. St. Louis has more plant science PhDs than any city in the world. Thanks to this startup, just a few miles from where some of the most advanced agtech research takes place, underprivileged kids can get a free science lesson and a bag of fresh produce to take home for dinner.

Good Life Growing is not going to be the next Facebook or Google. But social innovation like this is an important piece of our startup community, and critical to long-term stability. As St. Louis becomes known as a top destination for tech startups — a wonderful thing, obviously — innovative organizations that don’t fit the mold of a typical “tech startup” can often get overlooked.


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However, the St. Louis startup community has taken some critical steps to ensure that everyone is welcome at the table — something other startup communities can learn from. People gather at open networking events to meet strangers working on unfamiliar projects. Every Thursday at Venture Café in the Cortex Innovation District, people network over a beer before dispersing to different breakout sessions or panel discussions covering topics of interest. These meetings (or “collisions,” as they’re called at Venture Café) are how new questions arise and original ideas happen. The key is to offer general support for innovation and to create an environment that welcomes everyone, regardless of their technical background.

One project that aims to foster this sense of openness is the Delmar Divine, named to highlight its location along the so-called Delmar Divide, a well-known boundary between rich and poor. Led by Build-a-Bear founder and former CEO Maxine Clark, Delmar Divine will soon transform an old, vacant hospital building into a coworking and residential space for socially minded entrepreneurs in the West End neighborhood. Some may be developing technology platforms, others may be working on outreach and support. This model reflects the greater innovation community in St. Louis, which is defined by open doors, conversations across professions, and a shared desire for change.

Another founder I recently spoke with on STL Community Cast was Matt Homann of consulting firm Filament. The firm incorporates drawing and other creative exercises into meetings to stimulate interaction and teamwork. This approach does not rely on tech; it actually removes tech from the equation to foster real human interaction. Filament works with all types of organizations (including many nonprofits) and describes its approach as “industry agnostic.”

I think startup communities can help themselves by adopting the same perspective. Develop programs that are industry agnostic, that any entrepreneur or aspiring entrepreneur can partake in.

Tech is infiltrating more facets of the economy than ever before. It’s fascinating, and we’re right to be obsessed with it. But the best startups communities will manage to include voices from outside of tech by making their programs welcoming to all.

Drew Davis is the host of STL Community Cast, a podcast covering the St. Louis innovation community, marketing consultant at Emmis Communications, and contributor at EQSTL.com.

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