Guide To Programmatic Native Advertising

Guide To Programmatic Native Advertising

July 19, 2018 |
Laura Bakopolus Goldstone

Native advertising is a tried and true form of digital advertising that tends to resonate with the right audience – if the technology used to deliver your impressions is accurate enough. (Explore The Truth About Native Advertising here.) Partnering with a programmatic technology provider is the best way to fuel your campaign; using powerful technology, your ads will reach the business influencers you want them to reach. From there, it’s up to you and your creative team. If you want to make sure your native ad is optimized and ready to go before you propel its reach through programmatic advertising, check out our guide to programmatic native advertising below:

First and foremost, you’ll want to make sure your ad meets the required specifications. For native advertising through AdDaptive Intelligence, this means 1200 x 627 px with an aspect ratio of 1.91:1 for the image itself, which shouldn’t exceed a file size of 200 kb. Your logo can be a 1:1 image at 300 x 300 px. The text lines are as follows:
Title – 25 characters max
Body text – 140 characters max
Call-to-action (CTA) text – 15 characters max
Sponsored by text – 25 characters max

Next, heed best practices to develop the best ad possible to ensure that when your target audience members see your ad, they see something that will engage them and inspire them to take action.

Best practices for native advertising include:
Avoid including words, text overlays, or call-to-action buttons on images, since they may get cropped out by publishers. This will limit your inventory and reach. Instead, follow the text guidelines above and let the image stand on its own.
Pair native with display to enhance engagement. ShareThrough industry stats show that deploying native and display together can produce 18% higher lift in purchase intent, 9% higher lift in brand affinity, and 200% more visual focus as editorial headlines. Well-rounded and comprehensive marketing and advertising campaigns will perform better than single-tiered approaches more often than not. It would behoove marketers to take advantage of the various channels and tools at their disposal to expand their reach and achieve better scale.
Make your title as detailed and engaging as possible. This is your chance to capture viewers. Your title should be on-brand and should be carefully written to resonate with your target audience. This involves knowing what your audience responds to, researching what you’ve done in the past that has worked (versus not worked), and spending more time than you may think necessary on 25 characters. If people only remember one part of your ad, it may be the title. It is important to make it memorable.
Craft short and catchy text to engage viewers. Viewers tend to scan ads quickly and make a snap judgment on whether or not they are intrigued. Then, they’ll dive into the details. But in order to capture their attention, include words or phrases that will matter to them and inspire them to keep reading. The best way to do this is to show your value. If you can capture your value proposition, maintain your brand’s voice, and be quick and catchy in the 140 characters provided, your target audience will respond favorably.
Opt to include an app store rating, such as 1-5 stars. While this is optional, it can work in your favor if you are confident in your ability to deliver. If you find that user-generated ratings and reviews complement your services and prove your worth, you can capitalize on the power of word of mouth by including this rating in your ad. When people see that other people like something, they are more likely to engage with it. A rating is a simple and visual way to capture your success among your target audience and prove your value to new customers.
Include a click fallback URL to catch any non-app-users. Studies have shown that average user dwell time on native content is about twice as long on mobile, but 48% of publishers still run native campaigns on desktops (source). While it is expected that mobile traffic will continue to grow this year with no end in sight (source), a portion of your B2B audience may still be using desktops at work, which may be an optimal time to reach them. If there is a possibility that customers may fall through the cracks, it is wise to put a catch-all in place. In the case of native advertising, a click fallback URL will catch desktop users and bridge the gap, providing the same user experience regardless of platform. That way, you won’t lose engagement based on where the ad is placed.

Following these guidelines will strengthen your native ads and ensure that once your programmatic provider delivers your ads to your target audience, you can capture them in a few seconds and hopefully entice them to engage with your brand.

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3 Digital Advertising Stats You Need To Know

3 Digital Advertising Stats You Need To Know

May 15, 2018 |
Laura Bakopolus Goldstone

  1. In a recent survey of 1,000 marketers worldwide by Rakuten Marketing, respondents estimated they waste an average of 26% of their budgets on ineffective channels and strategies. Additionally, about half of respondents said they misspend at least 20% of their budgets.
  2. The most common challenge with relying on probabilistic data in digital advertising is ineffective targeting, according to 49% of respondents in a recent Viant study.
  3. The top two factors limiting the success of digital ad campaigns are audience reach (30%) and targeting inaccuracies (27%), according to a recent Viant study.

We hear you loud and clear.

Marketers want to target the right audience efficiently. They don’t want to waste money on ad formats and placements that don’t pan out. They want to be smart with their spending – as we all do. Programmatic advertising is the answer – if it’s done correctly.

Programmatic advertising automates media buys, saving time and resources (freeing marketers up to focus on strategy and creatives) and using an arsenal that has been proven to work. But the power of the ads is dependent on the programmatic technology. How accurate can the targeting be? How much will my ROI increase and my wasted spend decrease? These are important questions you should ask the company you use to buy your ads, because they’re crucial to your overall campaign plan.

 

For example, AdDaptive’s programmatic ad technology can consistently operate with pinpoint accuracy because of our multi-faceted approach to B2B IP targeting, combining offline and online data for the most holistic depiction of the customer and the most accurate way to reach them. Other approaches, when taken alone, aren’t as accurate, since they aren’t as comprehensive. For example, the industry is fairly divided on the topic of cookies. Cookies can help to provide more depth into an ad campaign, but they should not be used alone, since they are placed on browsers based on assumptions rather than validated offline data. If you rely solely on cookies’ inferred data, you may be wasting valuable budget dollars on impressions that are unlikely to convert. That’s why cookies should be a second-tier approach, whereas the first plan of attack should be to use validated data and geotargeting, which have proven to deliver the best results. When you’re only paying for served impressions, your money goes farther with this two-pronged approach and brings you more valuable leads.

In terms of reach, the ad company powering your campaigns needs to have a large enough database to provide an appropriate foundation from which to pluck out the key decision-makers and influential individuals that need to see your ad. Companies that have robust technologies and partnerships tend to be able to offer a wider variety of targeting options. In other words, if you have a larger playing field, you have more chances to find the right person. For example, say you want to draft the most talented pitcher to your baseball team. Are you going to have 10 players tryout or 100? The more players you see, the greater your chance of finding a highly talented pitcher. Now imagine what a company like AdDaptive could do with billions of data points and hundreds of millions of households – the possibilities are endless.

If you are a marketer, you will want to choose an agency that is making the right decisions on your behalf. And if you are an agency, you will want to partner with a programmatic ad company that has a large enough database and robust enough technology to deliver the impressions your clients want at the price they can pay. Look for companies that are continually making great strides to enhance their technology, broaden their database, and improve their targeting capabilities, thus ultimately improving their ability to deliver your ads most effectively. The programmatic ad tech market is still young, but the big players are doing whatever it takes to get ahead of the curve and set you up for success.

Check out our solutions and see why a company like AdDaptive can increase your ROI and put your ads in front of the right people at the right price.

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The Light Switch Effect Of Programmatic Advertising

The Light Switch Effect Of Programmatic Advertising

April 17, 2018 |
Laura Bakopolus Goldstone

You have more data at your disposal than you think you do. Online data provided by a user’s content consumption, including what websites they spend the most time on, what emails they view, and what links they click, is just the beginning of what can be used to power successful ad campaigns. Offline data – data taken from offline interactions, such as information about business purchase transactions, business registrations, and direct mail response – is equally as valuable. When you add a wider range of options, such as purchase history, financial health, geographic location, number of employees at a business, and years in business (just to name a few), you suddenly have a plethora of details at your fingertips, all of which is fair game (privacy laws heeded) for targeting users with specific advertisements.

Let’s think about this duel-headed programmatic advertising approach like a light switch. If you have all your efforts focused on online data, you’re not utilizing data on prospects that have yet to interact with you – in other words, you could be missing out on reaching quality leads. But if you switch the light all the way to “off,” and just look at offline data, you’re looking at information about companies, locations, and CRM databases, but there are holes in your plan that digital interactions can fill. When people have one switched on, they may forget about the other. The catch is that you don’t just need a happy medium between the two – you need both at full capacity for your campaign to yield the best results. It seems impossible to have both switches turned on at once, but it doesn’t have to be.

 

 

Deterministic first-party data & CRM data lay the foundation to bring valid offline data online, but they should not be utilized alone in your ad campaigns. Partnering with a trusted partner like AdDaptive Intelligence will provide you with the ability to dive much deeper, equipping you with capabilities to locate key decision-makers you’re looking to influence and pinpoint the best time to advertise to them. AdDaptive’s unique approach to IP targeting and account-based marketing combined with your personal insights, sales transactions, and other offline data creates a holistic view of your target audience. This behavioral analysis of your audience contributes to creating a strong, comprehensive ad campaign that will reach only the individuals you want to reach, proving to be more efficient and cost-effective than ever before.

AdDaptive knows that scale, accuracy, and depth are vital to the success of your ad campaigns:

Scale. Scale is an issue for marketers who try to do this in-house, but fear not: We’ll worry about this so you don’t have to. Our database has billions of data points, which you can use to build your target audience segment.
Accuracy. Bridging offline data with online identifiers via IP targeting allows us to reach your audience in the most comprehensive manner. Plus, consumers’ needs and preferences can change at any time; luckily, our technology stays up to date with your audience’s tastes and behaviors through the constant matching of IP targeting with validated offline information.
Depth. CRM systems, personal interactions, past online ad data, IP addresses, geographic location, business licenses, census data…there is a TON of data available for your marketing needs. Our technology analyzes it all in seconds to deliver the most personalized ads possible, driving your costs down and your ROI up.

Ultimately, you can’t just click the light switch on or off – you need both online and offline data to create the most complete picture of your audience. The more information you collect and analyze, the more specific you can be with your targeting. And we all know that the more specific we are, the less budget wasted, and the greater ROI achieved – a win-win for all.

Interested in next steps?
AdDaptive’s technology matches all of this data with online identifiers and puts your ads in front of the right people at the right time – before the competition gets ahold of them. If you’re looking for an efficient, cost-effective, cutting edge approach to advertising, come talk with us and catch a free demo of what we can do for you.

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Advertising Automation Is Essential For Programmatic 3.0

Advertising Automation Is Essential For Programmatic 3.0

April 27, 2016 |
Addaptive Intelligence

The Promise of Programmatic

It is no surprise that programmatic ad spending has grown to over $20 billion and industry experts are predicting that programmatic will be responsible for over 70% of all display advertising in the next few years. Programmatic has delivered on the promise of sophisticated, real-time data targeting and it is clearly the future of digital advertising.

It’s Complicated…

However, for all of the advancements the industry has made, there is one area where programmatic has failed to live up to expectations – The work flow and management of programmatic advertising campaigns. Many would argue that today’s programmatic technologies have actually made the media buying process less efficient than it was prior to programmatic coming onto the scene close to 10 years ago.

Prior to programmatic, media campaigns were managed and optimized by single media buyer or ad
trafficker using an ad server and an excel spreadsheet. Now, to fully take advantage of the power of programmatic advertising an organization needs to employ a myriad of specialists who can manage an ad server, a demand side platform (DSP), a data management platform (DMP), and an analytics platform, that is needed to make sense of the mountains of data available for optimization purposes. It is holding back programmatic from becoming the efficient solution it was intended to be.

Advertising Automation is the Answer

The answer to fully realizing the promise of programmatic and transforming it into a more efficient method of buying digital advertising is true advertising automation. While many in the industry claim they have automated the buying of programmatic media, most programmatic campaigns are still managed using spreadsheets and manual tasks such as ad trafficking, campaign optimization and bid reduction. This is not advertising automation.

The technology exists today, to eliminate nearly all of these manual tasks. However, the vast majority of all programmatic media campaigns are still managed using the same manual processes that were used to manage digital advertising campaigns over a decade ago.

True Advertising Automation

  • Streamlines campaign setup and management
  • Allows media buyers to run dozens, if not hundreds, of very specific targeting strategies per campaign.
  • Provides the capability to create an infinite number of audience segments that take advantage of unique, user-level data.
  • Acts as a true multiplier effect for optimization and allows experts to analyze big data at the massive scale needed to discover key performance trends

Programmatic 3.0 is a new buzzword that seems to mean different things to different people within the industry. It could mean the better use of data for cross-device targeting. It could mean attributing offline sales to online ad exposure or the combining of multiple point solutions into one holistic programmatic platform. Whatever your definition of programmatic 3.0 is, advertising automation is an essential topic and needs to be part of the discussion. Without true advertising automation, we will never fully realize the promise of programmatic advertising and we will merely be adding more complexity to a process that was intended to be driven by machines and guided by the human knowledge and expertise our industry has gained over the past decade.

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Header Bidding Was Always A Workaround

Header Bidding Was Always A Workaround

April 20, 2016 |
Addaptive Intelligence

On Wednesday, Google opened up Dynamic Allocation to allow DFP customers to source demand for their inventory from outside partners and exchanges. This immediately sent waves through the industry with different players scrambling to defend header bidding, praise google, or bemoan the respective plights of publishers or advertisers.

The Change

The truth is, anybody who didn’t see this coming really hasn’t been paying attention. This course of action from Google was not only predictable, it was certain. Dynamic Allocation has been restricted to AdX demand for some time, and header bidding was a response to that. It allowed advertisers to buy premium publisher inventory with data at scale and increased yield for publishers. Although, functionally it didn’t do so quite as efficiently as Dynamic Allocation. There are more partners to work with, code to add to the page, latency, setting up prioritization within the ad server, etc.

It’s the sort of stuff that makes a good ops team look like rock stars when executed properly (thus making it rain), but any team that good would also say to themselves, “Why can’t this demand all just run through DFP?”
Brian O’Kelley publicly predicted this convergence at the Appnexus Summit last November, when unveiling the Appnexus Publisher stack (full disclosure, Appnexus is a partner of AdDaptive), which includes native demand inherently built into the ad server. It was always the only way this would play out – the same market forces that demonstrate header bidding adds value to buyers and sellers also inexorably demands that the friction header bidding creates will be eliminated.

Case Study

We also already have a case study in this – much of the technology here is nothing new. In 2007 I was running ad ops for a group of publisher sites and we had open dynamic allocation back then. It was called Right Media and it was way ahead of its time. We ran RM as our ad server and one of our primary sources of demand. As an early stage startup group, we were still in the process of building out a sales team to go after direct budget, and this was before the rise of Pubmatic. That made Right Media a great option for sourcing demand from dozens to hundreds of partners that competed in an auction with our growing direct sales efforts. The missing piece of course in 2007 was data; we hadn’t yet reached critical mass in availability or adoption of useful data for ad targeting, and RM was never seriously viewed as a challenge to DFP, despite the advantages it conferred.

Inevitability

There were other well-known issues with RM, but that’s not relevant here, the ideas and tech for open dynamic allocation have been around for a decade. The reasons header bidding got its time in the sun are artificial – DFP controls an overwhelming percentage of the ad server market among premium publishers, and it was in their interest to restrict allocation to AdX. However, as a critical mass of publishers adopted header bidding, that advantage waned and DFP made the choice to open up allocation to preserve its market share among premium pubs, lest they be wooed by Appnexus or another partner that facilitated more liquid demand.

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