insights Archives - SmartFrame

How to stay ahead in marketing: Andy Ashley gives his expert insight

Peter Townshend — Tue, 18 Oct 2022 17:11:06 +0000

Andy Ashley, Global Marketing Director at SmartFrame Technologies, gives us the lowdown on the past, present, and future of the digital marketing industry

What’s your background?

My background is in advertising, marketing, and media. I landed my first job in the industry at a small agency on the media planning side of things, and that led me to work for bigger global agencies such as Saatchi and Saatchi and McCann, which was then known as McCann Erickson. I spent a bit of time client-side as well. It was good fun – I learned a great deal and worked with incredible people.

After that, I moved into smaller digital agencies and got involved in a few startups from a marketing and sales point of view, helping to scale and sell them.

Most recently, I’ve been working in B2B technical solutions where I spent ten years helping to build out the European and – subsequently – global function and strategy of a SaaS company. It was a very interesting role in terms of learning how to adapt B2B marketing strategies in different markets, changing the nuance and focus to get the best ROI out of the efforts in each of those markets.

What attracted you to SmartFrame?

SmartFrame really interested me because it clearly has the potential to be the YouTube for image streaming and ad tech.

With a background in marketing and advertising, I was drawn to the fact that the technology is very visual. At the same time, a large part of my experience has been in ad tech, so the fact that SmartFrame also has that component to it made it an easy transition.

What do you like about the tech startup world?

I like building things. Over the years, many of my roles have involved building out functions and capabilities, so I really enjoy that aspect of it.

In the startup world, it’s a green field. That means you can build up capability pretty much from scratch in terms of things like performance marketing functionality, inbound channels, outbound channels, and so much more.

How has the marketing industry changed during your career?

The biggest change has to be the move from analog to digital. When I first started out, the main form of long-distance communication was the telephone. We drew up media plans with a ruler and a pencil, and our proposals were put into a typing pool to be typed up. There was no such thing as the world wide web, so it was very print, TV, and radio orientated.

When the internet was introduced, it achieved widespread adoption very rapidly, both in terms of consumers and businesses – and suddenly a whole new media channel opened up.

I was involved in the early days, setting up small departments that were running some of the first banner ads, which was the mainstay of digital advertising back then. In a very short period of time, I went from doing media plans with pen and paper to setting up one of the world’s first online gaming sites – so the change was dramatic.

The upshot of this change was the globalization of the industry. When I first started out, there weren’t jobs where you could develop strategies in one country and roll it out in another with ease. However, the increased internationalization that came with the dawn of digital meant that new markets were ripe for going into, opening up a world of opportunity and making international travel more commonplace.

This increased globalization took me from a European role to spending time in China, Japan, India, Singapore, and various parts of North America – mainly the great city of Atlanta. So things became very different, both professionally and geographically.

What is your advice for staying ahead in such a constantly evolving landscape?

I think that you’ve got to have a natural interest in the industry and a bit of natural curiosity. Things change so quickly, so it’s a never-ending quest for learning. For example, in an average week, I will have three or four calls with new technology providers that might complement the work we do at SmartFrame. Some are a better fit than others, but every now and then you come across something truly brilliant that will make a big difference. So being proactive in discovering new technologies and techniques can be extremely valuable.

When it comes to sourcing that information, sign up for news alerts, attend conferences, and listen to podcasts. There’s a lot of great content out there and many fantastic speakers who are happy to provide expert insight.

What are the biggest challenges and benefits of the remote/hybrid working world?

One big challenge is the distance. People often like being in groups, collaborating and working together side-by-side. Moving away from that has been a big jump for a lot of people and it has the potential to impact team building and communication.

The flip side of this, however, is the fact you are not restricted geographically, which means you can get access to talent you wouldn’t normally have access to. Plus, because your team can be based anywhere in the world, it is possible to scale businesses much more rapidly because you don’t have potentially prohibitive overheads that come with bricks-and-mortar office space.

Furthermore, while some have struggled to communicate remotely, many have thrived, with technology arguably enabling a higher level of collaboration. There are so many great tools out there that allow you to disseminate information and act on it much more easily, such as Dropbox, monday.com, and Confluence, and this allows project management to be seamless. And with programs like Slack and Microsoft Teams, you can communicate really effectively too.

Overall, I think the hybrid approach is probably the best if it’s possible. That way, those who prefer the office environment can get it and those who prefer to work remotely can have that too. And I think with the technology available today, it can be easy to achieve.

In this era of such big data, how can we best harness its power?

Today, there’s more data gathered about consumer behaviors than ever. To harness it effectively, you need tools to disseminate and act on that information – and these are rapidly becoming available.

I think artificial intelligence (AI) will be central to decision-making that’s based on big data. The age of AI is really going to start when the tools get more refined, at which point I think it will become the cornerstone of decisioning for every industry, particularly marketing and advertising.

What advice would you give to marketing managers walking the data-privacy tightrope?

I think it’s really important to look at first-party data solutions and technologies that adopt a privacy-first approach. SmartFrame’s contextual in-image advertising system is a great example. It enables cookie-less targeting because it’s matching ads to the content of the image and webpage, as opposed to a user’s personal information.

As the third-party cookie starts to disappear, I think using things like contextual targeting and first-party data solutions will become the norm. And I think people are starting to adapt to that quite quickly. At SmartFrame, for example, we’re seeing a big demand for our contextual targeting solution for that very reason.

How important is technology in achieving marketing objectives?

I think it’s essential in this day and age. The number of things you can do cost-effectively through multiple channels is vast, so when we build marketing strategies, they are multi-tiered and within those tiers, there are several strands because you’ve got to test and learn what works and what doesn’t.

And again, in each different market and each different country, the focus you put on one element will be slightly different from another. So if you’re constantly trying to optimize and evolve, you’ve got to understand all of the nuances and the interplay between them.

That’s virtually impossible to do without good digital tools. And, while there are many systems that can tell you how effective your marketing is, the challenge is putting it all in one place and understanding the whole picture so you can adjust it.

There are some great dashboards out there that tell us which media is working the best, what our cost per lead is, how much market penetration we’re getting, what our share of voice is against different competitors, and more. So I think it’s really important to ensure you have all the right digital systems and tools in place to do the job effectively.

What are the key ingredients of a successful marketing strategy and why?

It all begins with the fundamentals. Who are you trying to influence? What are you trying to do? Who are you speaking to? That’s the bedrock of it.

Next, it’s establishing the size of the market. What is your total addressable market? What is the opportunity?

After this, it’s understanding your competitors in the context of that market. You need to work out how you’re going to compete with them, both in terms of share of voice and messaging. The key to doing that is the value proposition.

It’s essential to understand your customers’ wants, needs, and pain points, and to supply messaging and solutions that meet those needs. Once you have that core value proposition, you can build communication strategies and media channels around it that address those pain points.

While those are the fundamentals of building a successful marketing plan, you also need to consider the day-to-day aspects of putting it into practice.

One of the most important things is to ensure that you’re aligning yourself with other departments – especially the sales and product departments – to make sure you achieve your objectives.

For example, I set out objectives and key results (OKRs), and those OKRs filter down in a waterfall effect. So, while you have an overarching objective, you also have to pull in all of the other departments to make sure you achieve things like MQLs and SQLs. Ultimately, you’ve got to tie that all back into what the business objectives of the company are. Is it realistic? Is it achievable?

What marketing trends are you keeping an eye on in the future?

Possibly the biggest issue at the moment is the demise of the third-party cookie and the rise of first-party data. With privacy laws becoming more restrictive, the industry is increasingly looking for ways to target people without using personal data.

With this in mind, I think shifts toward the attention economy and the rise of contextual targeting will be significant. For example, one report estimated contextual ad spend in 2020 to be around $160bn, rising to $370bn over the next five years – a huge increase.

The growth of AI is another thing to keep an eye on, not just in ad tech, but also in decision intelligence, which will be a big area in marketing.

And finally, there is the issue of data transparency and provenance. The industry is working towards a more open platform and more transparent way of doing business that doesn’t rely on what are perceived as cloak-and-dagger tactics, so I would expect that to also be a key area of development.

The post How to stay ahead in marketing: Andy Ashley gives his expert insight appeared first on SmartFrame.

SmartFrame Insights update: Getting to know the new and improved UI

SmartFrame — Wed, 15 Jun 2022 01:00:22 +0000

We’ve made some improvements to SmartFrame Insights that not only give you more data but also make it easier to access. Here’s a rundown of all the changes.

At SmartFrame, we understand the importance of accurate analytics and the ability to gather them quickly and efficiently. It’s for this reason that we’re excited to launch a number of updates to SmartFrame Insights, ensuring an even better experience for our users.

Updates include a new-look dashboard, streamlined reporting, additional filtering options, improved search functionality, and new metrics among other things.

Here, we take a closer look at some of the biggest changes, introducing what’s new and how it’s designed to help improve your workflow.

SmartFrame-focused data

The most fundamental change is the way in which we report figures. All reports now focus exclusively on SmartFrames, rather than splitting data between SmartFrames and images.

For clarity, the word ‘SmartFrame’ refers to every instance an image appears on a unique URL. The word ‘image’, on the other hand, refers to the source image file that has been uploaded, which can be streamed into multiple SmartFrames across many different URLs at the same time.

Focusing our data on SmartFrames helps to simplify the reporting process, providing a more streamlined overview of your SmartFrame analytics. It has also guided a number of other changes to the Insights tool – read on to learn more.

New-look dashboard

We have redesigned the dashboard to lead with impressions, presenting top-level information at a glance to provide you with the answers you need as quickly as possible.

With all reporting now focusing on SmartFrames alone, it’s been possible to condense essential data into one easy-to-navigate overview. This ease of reference has been further improved by the adoption of a color-coded system, which enables you to instantly recognize impressions (blue), engagement (green), and sharing (orange).

Streamlined reporting

Reports have been simplified into four categories: Overview, Engagements, Sharing, and Domains, with the top row of each report displaying a bold summary of overall totals. This more accessible design provides a quick and easy top-level perspective, with the ability to dive deeper if required.

Other things to note are the display of larger image thumbnails on mouseover, plus the ability to copy a SmartFrame’s URL with a single click.

We have also grouped all additional functions together under one handy menu represented by three dots in the far-left-hand column. These include the options to change Theme, block an embed, exclude an entire domain from displaying SmartFrames, and access a new dedicated SmartFrame details page.

The SmartFrame details page allows you to track impressions and engagements throughout the lifetime of each SmartFrame, filtering by date range and geographic location.

Enhanced filtering

By combining all filters into one dropdown menu, we have made it even easier to view, add, and edit filters as you wish, with the ability to select and clear with a single click.

‘Country’ has been added to the list to provide more detailed insights and locating individual SmartFrames is now even easier, with the ability to perform a quick search for a specific Image ID or URL.

Additional metrics

Finally, we have added a number of new metrics to provide an even more comprehensive insight into the performance of your SmartFrames.

The new metrics are listed below, each of which can be added or removed from reports using the column customization tool found in the Insights settings menu.

Programmatic theft attempts	Number of detected attempts to programmatically disable SmartFrame security
Impressions with programmatic theft attempts / right-clicks / screenshot attempts	Number of impressions that resulted in at least one of the above actions taking place
Embed button clicks (deterrent)	All clicks on the Embed button that is featured within the Deterrent panel
Pages	Available on the Domain report only, this is the number of pages that contain SmartFrames on the selected domain. For clarity, a page is defined as a unique URL

Need more help with the SmartFrame Panel? Visit our Help Center for a comprehensive guide to getting the very best out of the SmartFrame image-streaming platform

The post SmartFrame Insights update: Getting to know the new and improved UI appeared first on SmartFrame.

The business of sport: How to use digital assets to maximize revenue in the sports industry

James Prosser — Fri, 27 May 2022 13:43:43 +0000

The sports industry faces significant changes, which makes it vital to ensure maximum value can be realized from digital assets. But how?

The global sports industry is in the midst of a considerable transformation. The effects of the Covid-19 pandemic, combined with a market that comprises an increasing proportion of tech-savvy millennials, is changing the way sport is consumed.

For this reason, increased attention is turning to the digital world for solutions. For example, a 2021 survey from PwC found that 70% of sports leaders felt connected tech is the greatest opportunity for physical sport.

In this article, we explore the challenges faced by the industry’s most lucrative revenue streams and discuss how the digital world – specifically digital assets – can not only help maximize existing income, but also create entirely new sources of revenue.

Traditional sports industry revenue streams

The sports industry has traditionally relied on a few main sources of income, and while these revenue streams are unlikely to stop, there are certainly challenges ahead.

Ticket sales

Income from ticket sales has historically provided a significant proportion of overall revenue for the sports industry. The global pandemic, however, dealt a huge blow.

With many events canceled, and those that did go ahead taking place in empty or partially filled stadiums, income generated from ticket sales simply disappeared.

A report from the Union of European Football Associations (UEFA) reveals that 88% of gate receipt revenues across its European soccer club members were wiped out in 2021 and consequently made up just 2% of overall revenue.

On a global scale, figures show that online ticket sales revenue for sporting events was down 60.6% at the height of the pandemic, dropping from $20.95bn in 2019 to $8.95bn in 2020.

While the same figures project that online ticket sales revenue will bounce back to $27.62bn in 2022, and resume steady growth in subsequent years, the fallout from the war in Ukraine could have further detrimental effects.

Broadcasting rights

The cancellation of events and tournaments also affected one of the largest revenue streams for the sports industry – broadcasting rights. One report shows that the global value of sports media rights fell to $44.6bn in 2020, a drop of more than 12% on 2019’s total.

However, while the pandemic certainly had a big impact on revenues in the short term, the long-term driver of overall change is the increasing move towards streamed content. For example, US streaming subscribers doubled from 2019 to 2020 to reach 275 million.

Such a rise was, in part, fueled by imposed lockdowns. Once relative normalcy resumes, however, a continued increase is expected, with the global streaming market projected to grow at a CAGR of 21.3% to 2030.

This trend has prompted major sports leagues to invest more in streamed content. Notably, the NFL added Amazon to its list of broadcast partners – the first time a streaming service has been included. Furthermore, the league is reportedly launching its very own in-house streaming service called NFL Plus.

Research suggests the same is also true on the other side of the Atlantic, with streaming predicted to generate 20% of major European sports rights revenue in 2022.

Sponsorship

It’s no secret that sponsorship deals are big business in the sports industry, generating a large proportion of overall revenue. In fact, the global sports sponsorship market is expected to grow to nearly $90bn by 2027.

While this revenue is here to stay, many believe that the increasingly digital nature of the sports business, coupled with the transparency of modern marketing, will lead sponsors to demand more transparency and measurable ROI.

This demand will place a large focus on data – the more the sports industry can generate, the better. With the arrival of GDPR and the demise of the third-party cookie depriving many of a treasure trove of information, clubs and leagues the world over will be looking for new ways to gain this valuable insight.

Merchandise

Whether it’s team kits, footwear, or toys and games, the sports merchandise market is another significant revenue stream for the industry.

The global market for licensed sports merchandise is reportedly growing at a CAGR of 3.4%, and is expected to reach a value of $27.2bn in 2026.

With the market enjoying such steady growth, it’s important to ensure merchandise is marketed as widely and accurately as possible.

Future sports industry revenue streams

There’s no doubt the sports industry has learned valuable lessons from the unprecedented events of the past few years and, with an eye on the future, it is laying the foundations for new revenue streams that will provide greater financial stability in an increasingly digitized world.

Below are some of the most notable opportunities being explored by some of the industry’s biggest players.

NFTs

There are many ways in which non-fungible tokens (NFTs) are expected to play a part in the future of the sports industry. For example, NFT tickets could provide holders with exclusive in-stadium access, become digital keepsakes, and even offer a whole new fan experience in the metaverse.

However, the most commonplace and profitable current example is the collectibles market.

Through the authentication of video clips and images, NFTs are turning digital assets into modern-day trading cards. Their unique nature makes them desirable to collectors and this is fueling a thriving online marketplace.

Marketplaces such as OpenSea, NBA Top Shot, and NFL All Day along with startups like Autograph are contributing to an industry that was worth $7.29bn in 2021 and is enjoying significant growth.

Documentaries

Another area that has gained momentum in the sports business is documentary filmmaking. There have been a number of success stories in recent years, with Netflix’s Formula 1: Drive to Survive contributing to a surge in the popularity of the sport in the US, as reported here.

The Last Dance also enjoyed huge viewing figures, while Ryan Reynolds and Rob McElhenney have made no secret about documenting their first two seasons as owners of Welsh soccer club Wrexham AFC.

While broadcasting rights from such productions can certainly generate additional revenue, arguably the most valuable aspect is the unique ability to expand fanbases by using storytelling to win the hearts and loyalty of previously disinterested audiences.

Sports betting

The global sports betting market was valued at $66.98bn in 2020 and is expected to rise to $140.26bn by 2028, with the majority coming from the online segment.

While Europe has always claimed the lion’s share of the market and is enjoying steady growth, all eyes are currently on the US, which is experiencing something of a frenzy.

Sports betting is now legal in a growing number of US states, so in anticipation of this legalization spreading nationwide, sports betting companies are jostling to establish themselves as household names.

This has led to a raft of mergers and acquisitions and newly formed partnerships across the industry, along with huge advertising budgets to ensure betting brands gain the exposure they need.

Image streaming

Digital images are one of the most important aspects of sports marketing. From news reports to marketing materials, the power photography has to inspire is immeasurable.

As such, sports clubs, leagues, and associations have amassed enormous libraries of images that document everything from tournament-winning touchdowns and injury-time goals to player profiles and stadium facilities.

These images are viewed and shared countless times online, but with so many digital images published in so many places – and the ability for users to copy and share freely – it is impossible to tell how many times these images have been viewed and where.

Image streaming can not only change all that, but it also offers the ability to monetize every single one.

The technology offers a new way to display images online that is more secure, engaging, and measurable than current formats like JPEG and PNG. It works in a similar way to a YouTube video in that one high-resolution image is uploaded to a central server, which can then be streamed to unlimited websites using an embed code.

There are some significant benefits to streaming images:

Because images are streamed from a high-resolution original, it is possible for users to zoom in to the fine details and even go full-screen without affecting webpage loading times. Experience it for yourself with the images included in the body of this article.
To provide protection against theft and unauthorized use, streamed images are obscured by a deterrent message when users attempt right-clicks or screenshots. Instead of being copied and republished, images can be embedded for free using an optional built-in share button.
It is possible to track every URL to which an image is streamed. This means image owners gain valuable analytics data and can control distribution by blocking domains as they wish.
Image owners have the option to monetize entire collections by serving contextual advertising into streamed-image frames. This generates money every time an image is viewed, wherever it is online, tapping into a potentially huge new revenue stream.

In addition to generating advertising revenue, image streaming can perfectly complement all the existing revenue streams mentioned above, forming an essential part of the overall sports business model.

In-image advertising can provide a highly targeted way to market tickets, merchandise, and even upcoming documentaries – all to an engaged audience without the use of cookies. It also offers an ideal place for sportsbooks to spend their ever-growing digital advertising budgets.

What’s more, this brand-safe advertising can form part of sponsorship deals, while image analytics can provide valuable impressions and engagement data as proof of ROI.

Image-streaming technology can even complement the use of NFTs by encouraging the sharing of assets without making additional copies in the process. This maximizes exposure and exclusivity at the same time.

Final thoughts

The PwC Annual Sports Survey 2021 mentioned at the beginning of this article found that 56.1% of industry leaders thought sports organizations should focus primarily on increasing revenue, while 43.9% believed the focus should be on controlling costs.

Considering the state of the current industry, it is easy to see the argument from both sides. On one hand, it should be about licking the financial wounds inflicted by the global pandemic and the potential effects of the events in Ukraine. On the other hand, it should be about chasing down potentially enormous opportunities in the industry’s ever-evolving future digital landscape.

With such strong arguments either way, it could be prudent to take a balanced approach.

Creating the digital infrastructure to realize the full potential of NFTs will take significant investment with no guarantee of return. However, by leveraging technologies such as image streaming, it is possible to enhance the current sports business model and prevent value leakage from existing image assets, while at the same time tapping into a well-established global digital advertising market projected to be worth $646bn by 2024.

Whatever the answer, one thing for certain is that the landscape of the sports industry will look very different in the next few years, so sports organizations need to take action now to ensure they are well-positioned to capitalize on new opportunities.

The post The business of sport: How to use digital assets to maximize revenue in the sports industry appeared first on SmartFrame.

Attention metrics: What they are and why you should use them

Peter Townshend — Tue, 15 Mar 2022 10:41:37 +0000

Attention metrics are fast becoming the future of analytics in digital marketing and advertising. Here’s everything you need to know.

In an online world that offers a seemingly infinite stream of digital content, users’ reluctance to pay to consume it is understandable. This has led to the popularity of attention economics, a concept economist Herbert A. Simon explored in 1971, which was later coined as the ‘attention economy’.

While the concept itself may not be new, the sheer volume of information that is available online means it is now more relevant than ever. Indeed, Simon himself summed it up perfectly by saying:

“In an information-rich world, the wealth of information means a dearth of something else: a scarcity of whatever it is that information consumes. What information consumes is rather obvious: it consumes the attention of its recipients. Hence a wealth of information creates a poverty of attention.”

It’s no wonder, then, that there is an increasing desire in the digital advertising and marketing industries to move away from traditional impression-based performance measurement in favor of attention metrics.

But what are attention metrics? Why should you use them? And what factors affect attention online? In this article, we explore everything you need to know.

The attention economy in a digital world

With such fierce competition for a user’s attention, digital publishers are investing huge sums of money into designing digital platforms that utilize every trick in the book to keep a user’s concentration firmly fixed on their content.

This could be anything from relatively simple techniques such as push notifications and auto-play video reels, to complex newsfeed algorithms and AI-powered recommendation engines.

So where does the money come from that’s driving all this investment? While some revenue does come from subscriptions, the overwhelming majority comes from advertising.

A modern example of this is YouTube, which offers YouTube Premium in addition to regular (free) YouTube. This provides users with the option of paying money for uninterrupted content or paying for content with their attention by watching compulsory advertisements, before and during a video.

With YouTube’s Q3 2021 ad revenue reportedly standing at $7.2bn, and its potential revenue from subscriptions standing at a much smaller $600m, it’s clear the value advertisers place on attention and indeed how lucrative it is for publishers. This has created a digital advertising industry projected to be worth nearly $495bn in 2024.

Having read this, it may surprise you to learn that the traditional digital advertising valuation model offers no way of measuring how much attention an ad received. Sure, the number of impressions tells an advertiser how many people could have seen their ad, but there is no way of knowing whether anyone actually took any notice.

The problem with impressions

In the context of digital advertising, there are good reasons why attention metrics are quickly gaining popularity over the current system.

Served impressions represent the number of times an ad is loaded on a webpage. Traditionally, advertisers would pay a price based on the number of served impressions their ad would achieve.

Initially, this presented a step up from the readership figures used in the days of print publishing. After all, it guaranteed that a user had actually seen the page on which an ad was placed, which meant the ad must have been in their line of sight, right?

Wrong. A served impression only guarantees an ad was loaded, not that it was ever in view.

The nature of scrolling webpages and the negligible cost of creating additional digital space meant bad actors could place endless digital ads at the bottom of a page that appeared so far down they would never come into view. This meant that while advertisers were paying good money for genuine impressions, their creatives would never actually see the light of day.

To combat this issue, the Interactive Advertising Bureau (IAB), Association of National Advertisers (ANA), and the American Association of Advertising Agencies (4A’s) founded an initiative called Making Measurement Make Sense (3MS). This initiative led to the introduction of a Viewable Impressions system, in which an impression only counts if at least 50% of the ad’s pixels are in the viewable portion of a browser for at least one continuous second.

This was, of course, a move in the right direction, but it doesn’t reveal whether a user gave that content the time of day. Attention metrics go a step further towards achieving that goal.

What are attention metrics?

Attention metrics describe ways in which attention can be measured.

There is no single measurement of attention as it depends on what is being consumed and how (more on this below). But, invariably, they revolve around time – that is, how long someone has spent doing something, and more specifically, the exact actions they performed during that time.

In the digital world, when compared to impressions alone, attention metrics can give advertisers and publishers a much more accurate idea of how users are interacting with their content.

How do you measure attention?

There are countless ways to measure attention online. These vary according to exactly what your definition of attention is, which is likely to be influenced by the device on which content is being consumed, the design of the platform, the format of the content, and the nature of the business among other things.

While these detailed metrics can vary enormously between individual cases and analytics software, below are some general examples of how to measure attention.

Active time in view

On the most basic level, active time in view could describe the amount of time a piece of content or an advertisement is viewable in a foreground browser tab.

To gain a more accurate attention measurement, activity can also be considered. Cursor position, touch rate, scroll rate, and scroll depth can all be recorded to determine whether the user is interacting with the page when the content is in view (and, indeed, if they are interacting with the content itself).

For example, by using image-streaming technology that features interactive elements such as Hyper Zoom and full-screen viewing, it is possible to gain useful insights into the way users are interacting with images and where their attention is focused.

In the case of video content, rather than simply recording the number of plays, considering the number of plays to completion or the number of plays with audio can give a better idea of overall content performance.

The above attention metrics can be recorded in real time, in the real world, with real users, which has its benefits from a logistical and monetary standpoint. However, they could never provide a 100% accurate measure of attention. For that, lab-based methods are required.

Lab-based research

Eye tracking

One of the most accurate ways to measure attention is through eye tracking. This is where technology is used to record the movements of a user’s eyes, revealing exactly where they are looking on the screen.

This offers an unrivaled insight into user attention, such as how a user interacts with a piece of content, whether or not they notice on-page ads, and how easily they navigate a user interface.

Facial coding

Facial coding is the process of using computer software to automatically recognize facial expressions via a webcam. This technology can provide valuable insights into how a user is feeling when they are viewing a piece of content.

Why use attention metrics?

The world of digital advertising is an extremely nuanced environment; what works in one place might be disastrous in another.

By using attention metrics to measure performance and inform advertising, content, and user experience (UX) strategies, it is possible for advertisers and publishers to walk that fine line between hard sales and user experience.

In each of the cases below, attention metrics can and have been used to provide a level of insight that allows publishers to optimize their UX and advertisers to enjoy higher-quality placement, ultimately giving the user a better online experience.

Creative

Dentsu’s Attention Economy Program Phase 2 Research found quality of ad creative to have the largest effect on user attention, impacting recall by up to 17%.

However, it is not just advertisers who can benefit from this insight. The same metrics can be used to guide branding and web design by revealing how design affects a user’s engagement with a publisher’s content.

Page clutter

While it’s easy to assume that a higher number of different images, CTAs, or advertisements will present the user with greater choice and lead to a better user experience, the opposite can often be true.

For instance, Miller’s Law states that the average person can only keep between five and nine items in their working memory, and with analysis paralysis an ever-growing part of our digital lives, maybe less is more?

Ad size and format

The size of an ad, and whether it makes use of a still or moving image, can have a significant effect on the extent of attention it attracts, and also the reasons for that attention.

For example, a huge pop-up advertisement may well be noticed, but is it being noticed for the right reasons? Learning how users interact with that content can provide a better idea of its overall performance.

On-page ad positioning

It is widely acknowledged that an ad’s position on a page makes a big difference to the amount of attention it gets. But what position is best?

Prominent leaderboard ads may be front and center when a user arrives on a page, but that doesn’t necessarily mean they get the most attention. Indeed, banner blindness could mean they are completely overlooked.

Research from Chartbeat shows that 65.7% of engagement takes place below the fold, which means that ads positioned further down a page, and even at the end of an article, are likely to gain more attention than those displayed elsewhere.

Page content

The use of served impressions to measure ad value created an online world where the priority for many publishers was simply page visits. As long as the ad was served, they got their money, and little regard was ever paid to the user. This gave rise to clickbait headlines linking to pages characterized by low-quality content and high bounce rates.

Research suggests that users who spend 15 seconds or longer viewing a piece of content are 25% more likely to recall a brand than those who view it for 10 seconds, which makes clear the negative effect such practices can have on ad performance.

While this has undoubtedly been bad for users and advertisers, the publishers are now also paying the price. The lack of quality content online has eroded trust and devalued inventory, and with the third-party cookie soon to disappear, a huge focus is being placed on contextual advertising.

All things considered, ensuring ads appear in context among engaging content has never been more important.

Forced advertising vs voluntary advertising

Finally, whether an ad is forced or chosen can make a large difference to its success. Research shows that forced advertising needs double the amount of time to deliver the same impact as voluntary ads. Therefore, paying a premium for a 10-second compulsory pre-roll video ad might not be the most cost-effective strategy.

The future of attention metrics

With mounting evidence that the current digital advertising performance measurement model is broken, combined with the fundamental changes being brought by the death of the third-party cookie, attention metrics are set to play an increasingly important role in the new era of digital advertising.

For example, Dentsu’s previously mentioned Attention Economy Program Phase 2 Research found that when a client optimized their advertising for attention, it garnered 3.7 years of greater attention in one month than it did when optimized for reach and frequency at the same budget.

For this reason, the sooner and more extensively advertisers and publishers implement these analytics and begin using attention metrics to inform strategies and price points, the more they stand to gain.

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Decision intelligence: How AI is using big data to guide big business

Peter Townshend — Mon, 21 Feb 2022 18:14:07 +0000

Decision intelligence is currently attracting plenty of investment around the world. But why? Read on to discover more about this burgeoning AI-powered strategic tool.

In our hyper-connected digital world, it’s hard to get through a single day without hearing the word ‘data’ at some point. Whether it’s being bought, sold, stolen, or protected, one thing’s for sure – everyone wants it. And why wouldn’t they? More data means more knowledge and more knowledge means more power.

By 2025, it is projected that there will be a staggering 181 zettabytes of data created, captured, copied, and consumed around the world. And it’s only when you consider that one zettabyte is equal to a trillion gigabytes that you start to appreciate the seemingly endless number of decisions this amount of data could inform.

Increasing access to these ever-growing oceans of information has prompted many organizations to change the way they do business and adopt a digital data-led strategy – and this has given rise to the most modern form of business intelligence (BI).

What is business intelligence?

Modern business intelligence (BI) describes the process of using technology to collect, analyze, and display digital data in a digestible format, before using these analytics to make better-informed business decisions.

The BI process is widespread throughout the business world. In the 2020 Global State of Enterprise Analytics report from analytics software provider MicroStrategy, for example, 94% of respondents said data analytics is important to their business growth.

The same report showed just how useful BI is proving to be for the organizations that are able to use it. 64% of respondents said that the use of analytics had improved efficiency and productivity, with 56% saying that it had led to faster and more effective decision making.

What’s the problem with business intelligence?

While it’s one thing to gather and view this data, understanding and manipulating it, then presenting it in a way that a layperson can understand, is another.

This gap in technical know-how, combined with a lack of data culture within businesses, creates significant issues around accessibility. The aforementioned report also showed that while 80% of managers have access to data and analytics, only 52% of front-line workers can say the same.

Furthermore, a survey conducted by New Vantage Partners (NVP) in 2021 found that 92.2% of respondents identified people, business processes, and culture as the principal challenges to becoming data-driven.

Without company-wide visibility and accessibility, data can become siloed within departments, which can limit a business’s overall view and hinder its agility when reacting to changes in the industry.

So how can businesses harness the true power of big data quickly and effectively enough to respond to trends as they happen – and even predict future market behavior – without the need for a data scientist? The answer is artificial intelligence in decision making, otherwise known as decision intelligence.

What is decision intelligence?

Decision intelligence describes the concept of applying artificial intelligence (AI) to available data for the purpose of making predictions, recommendations, and decisions.

While business intelligence concerns the use of technology to gather, process, and present data, which is then used to inform a decision made by a human, decision intelligence goes one step further by also using technology to provide recommendations and predictions, and even make the decisions themselves.

How does decision intelligence work?

In a business context, the decision intelligence process works by feeding all available data into a central AI-powered application. The more extensive and diverse this data is, the more accurate and reliable the outcome will be. So, for example, information should not only come from all departments, but it should include both transactional and behavioral data, and, where possible, be sourced internally and externally.

The decision intelligence application uses this collected data to consider possible scenarios and, in turn, construct actions and alternatives in the context of the business’s overall capabilities.

Suggested actions are then presented for decision makers to act on as they wish. This process avoids the compartmentalization of data within different areas of a business and ensures that even the smallest decisions are made in a company-wide and even industry-wide context.

Furthermore, the decision intelligence application then tracks the outcome of decisions that have been made, learning from consequences and using that knowledge to inform future modeling.

Why use decision intelligence?

As the digital world becomes increasingly interconnected, it grows in unpredictability and complication. This more complex business landscape creates tougher business decisions, so automating part of the decision-making process helps in two main ways.

Efficiency

The volume of data that companies can gather has become so great that using it to make well-informed decisions by traditional methods is inefficient.

By the time the information has been presented and considered by decision makers with busy schedules, hours, days, or weeks could have passed. This is far too long in today’s agile business environment, where staying ahead of the competition often means making key decisions in minutes or even seconds.

Decision intelligence can provide recommendations in an instant, even from the most comprehensive big-data sets. This combination of speed, accuracy, and scalability allows companies to be agile enough to react to market trends in real time.

Democratization of analytics

The complexity of data analytics can make it somewhat inaccessible to less tech-savvy people, but many key decisions are made by hands-on managers who are rarely exposed to such intricate technical information.

For example, the Global State of Enterprise Analytics report found that 79% of employees that aren’t adept at analytics have to ask their IT department or a business analyst for help when making a data-led decision. Furthermore, 61% of less-data-skilled employees wait a few hours, a few days, or longer to get the data they need.

This data skills gap is a common issue among businesses and has been recognized by the UK Government in a 2021 policy paper, which estimates that the problem led to the UK data economy realizing only around half of its full potential in 2016.

Decision intelligence changes this. By using AI to crunch the numbers and formulate recommendations, unskilled workers no longer need to be exposed to such confusing data. With all predictions and guidance presented to them in an easily understood format, they can bypass time-consuming consultations with analysts and act immediately.

What can decision intelligence be used for?

As long there is enough data to work from, decision intelligence can make recommendations on any decision, from the color of a worker’s uniform to a multi-billion-dollar buyout. Here are a few examples of how it can help businesses.

Decision intelligence in user experience (UX)

With an increasing number of businesses operating solely online, the importance of user experience (UX) has never been greater. Once a user arrives on a website, the owner of that website wants to keep them there. However, with many big e-commerce websites or content providers serving millions of users every day, it’s impossible to manage them all personally.

That’s where decision intelligence can help. By gathering first-party data from these users as they navigate a website, AI-powered recommendation engines can make UX decisions based on activity. This could be which article to read next, which songs appear on a playlist, product suggestions or something else.

Decision intelligence in sales

By processing historical sales data, decision intelligence can be useful in sales optimization. Deal timelines, conversion rates, and even likely sales revenue can be predicted based on past results.

Data on consumer behavior can also be assessed to help decide the most effective sales techniques for individual prospects, as well as identifying the most promising sales leads and performing risk assessments among other things.

Decision intelligence in HR

In the most basic instance, decision intelligence in HR can be used to streamline the recruiting process, using AI to assess resumes submitted for a specific role.

It can, however, go further than simply matching job descriptions to skill sets. Other examples include assessing a candidate’s suitability to company culture; measuring workforce performance to decide on training requirements and project allocation; and even evaluating different recruitment methods for efficiency and value for money.

Decision intelligence in supply chain and logistics

It’s never been more important for businesses to ensure supply chains are fully optimized. Decision intelligence can use market data to forecast demand and make complex decisions in capacity planning, helping to ensure maximum productivity.

It can also be used to improve all aspects of delivery. Examples could be streamlining warehouse operations for smooth dispatch processes, or planning and optimizing delivery routes, redirecting drivers in real time to avoid delays.

Decision intelligence companies

Decision intelligence tools are available from a growing number of providers, including IBM, Quantellia, Busigence, and Oracle Business Intelligence, all of which offer AI decision-making software.

The power of the technology is also by no means lost on Google. In 2019, the tech giant appointed Cassie Kozyrkov as its Chief Decision Scientist, who in her own words is on a mission to “democratize decision intelligence and safe, reliable AI.”

Additionally, the previously mentioned startup Peak boasts a diverse client list that includes the likes of AO World and GlaxoSmithKline.

The problem with decision intelligence

Decision intelligence is only as good as the data it can utilize. This means it is likely to widen the gap between the already dominant big-tech players with eye-watering amounts of information at their disposal, and the smaller organizations that do not have access to such diverse data sets.

Additionally, the potential for artificial intelligence to completely replace executive decision making in the future is strong. This is likely to be cost-effective for businesses, although it would have an unavoidable negative impact on global employment.

Finally, in a world where AI is actively making key operational decisions about how a business is run, there could be something else to consider. Humans base decisions on facts and experience as far as possible, but cognitive bias and emotion are typically factors too. While many decision intelligence models do incorporate social science, this finely nuanced emotional decision making is something machines are lacking.

Indeed, the best decisions are often made with a cool, rational head – but many successful business leaders might argue that their ability to act on gut instinct is what has given them the edge.

The future of decision intelligence

The NVP survey mentioned above found that 99% of respondents invested in big data and AI in 2021, with 62% spending $50m and above. Furthermore, in its Top Strategic Technology Trends for 2022 report, Gartner predicts that by 2023 more than a third of large organizations will have analysts practicing decision intelligence.

With decision intelligence set to become so much more commonplace, there’s no doubt data is more valuable than ever. With such importance placed on comprehensive data sets, it’s time for businesses to look for innovative ways to gather information on consumer behaviors.

New technologies such as image streaming can provide valuable analytics for businesses who want to learn more about the way people interact with their content. By acting now to establish new data streams, businesses can ensure they are well-placed to harness the power of decision intelligence as the technology becomes more widely accessible.

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The 10 most-read articles of 2021

Peter Townshend — Mon, 20 Dec 2021 10:24:38 +0000

As the year draws to a close, we look back at our most popular articles published this year

This year our blog has introduced new technology, assessed old technology, and reported all the latest SmartFrame news as we push forward with our mission to revolutionize the way images are viewed and published online. New to the SmartFrame blog? Explore our ten most popular 2021 articles below. And if you’re already a regular reader, why not remind yourself of last year’s most-read articles?

1. SmartFrame and Adobe-led CAI: Working together to validate provenance and improve image protection

In November, we proudly announced our collaboration with the Adobe-led Content Authenticity Initiative (CAI). Founded by Adobe, Twitter, and the New York Times, the initiative aims to create a new standard for image provenance. By integrating CAI provenance data with SmartFrame’s image-streaming technology, we demonstrated an end-to-end image-security solution. This article provides an overview of the technology and shows how it was put into practice by renowned photographer David Yarrow. Read the article

2. What is copyfraud? And what do NFTs have to do with it?

Copyfraud is an ongoing problem in the current online image ecosystem that threatens the work of photographers, artists, writers, and musicians around the world. This article explores in detail exactly what copyfraud is, why it’s a problem and how it can be prevented. It also discusses the use of NFTs to protect digital art, explaining how they work, their advantages, and the potential problems they bring. Read the article

3. Is Cyber Essentials still fit for purpose?

There’s no doubt that Cyber Essentials was developed with the best intentions. Indeed, upon its release, it was well-received by the industry as a useful tool for mitigating the risk from online threats. However, with the digital landscape and business operations changing so quickly, the question of whether it remains effective must be asked. In this article, we explore the case for and against. Read the article

4. In-image advertising: How it works and FAQ

The latter part of 2021 saw the release of our in-image advertising system, which allows brands to serve contextually targeted ads into SmartFrames, wherever they appear online. Ads are targeted using detailed image metadata and AI to accurately assess the contents of the image and the page on which it appears. This offers a new revenue stream for the photography industry, along with a fantastic alternative to behavioral targeting after the demise of the third-party cookie. Click below to take a deep dive into the technology and learn everything you need to know. Read article

5. Are home wi-fi networks actually suitable for business use?

The global pandemic has brought unprecedented changes to the way we work as individuals, and the way businesses operate, specifically working from home. While the original lockdown took many by surprise, it prepared us all for future disruption from new waves of infection. As a result, many teams are now well adapted to the change and have maintained high levels of productivity. However, many of the same teams are working through home wi-fi networks that are not designed for corporate use. Here, we look at just how appropriate these connections are and whether companies and employees are leaving themselves exposed to unnecessary risk. Read the article

6. Google’s ‘About this result’ feature: What you need to know

We place a huge amount of trust in Google to serve us webpage suggestions that are safe to view, so the search engine does everything it can to filter out malicious content. One such measure to ensure the best possible user experience was the introduction of a new ‘About this result’ feature, which provides key information about the webpage suggestions that appear in search results. Its aim is to provide greater transparency, allowing users to better judge whether the content they are viewing is safe, trustworthy and relevant. But how does it work? Read the article

7. Steganography in digital images: an invisible cybersecurity threat

Although steganography is a practice with origins dating as far back as ancient Greece, it has lent itself very well to the most advanced modern technology. It has evolved from invisible ink right through to digital code, but one thing has remained the same: the intention to conceal. This article explores the history of steganography and reveals how cybercriminals have adopted the technique to smuggle malware within digital images. Follow the link below to learn more and discover how we can prevent it. Read the article

8. Is the internet ready for Samsung’s 200MP smartphone sensor?

Smartphone cameras have seen huge advances since their launch, but Samsung took it to a whole new level this year with the announcement of the ISOCELL HP1 200MP mobile sensor. In this article, we take an in-depth look at the technology that makes such high sensor resolutions possible, along with the potential issues its huge file sizes may bring. Read the article

9. C2PA: Everything you need to know about the C2PA project

The Coalition for Content Provenance and Authenticity (C2PA) is the coming together of two image provenance technologies: the Content Authenticity Initiative (CAI) and Project Origin. The aim is to work towards an open standard for online content provenance and authenticity that will provide greater transparency around the origin of digital media. In this article, we tell you everything you need to know about this coalition between some of the biggest names in tech and publishing, including Adobe, the BBC, Twitter, Microsoft and The New York Times, among many more. Read the article

10. The problem with Google’s SR3 image-upscaling technology

When Google announced its super-resolution image technology, we were immediately amazed by the results it was reported to produce, but at the same time concerned about the implications such advanced AI image upscaling could have on the photography industry, which for many years has relied on image downsampling as a form of security. How exactly does this technology work? What are its potential applications? And indeed, what are the problems it poses? Our article explores all this and more. Read the article

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SmartFrame Insights: How to use your data to make better decisions

Matt Golowczynski — Wed, 09 Sep 2020 16:15:39 +0000

SmartFrame’s Insights feature helps you to keep on top of everything to do with your images, and using this information wisely can pay dividends. We explain how.

SmartFrame has evolved to the point where it’s clear that there’s no single correct way to use the platform. What works for you really depends on what it is you want to achieve. Maybe it’s greater security over your images, better presentation, or perhaps increased sales. Perhaps it’s a combination of these – or something completely different.

One thing that all users can benefit from, however, is the Insights component, something that’s available to all personal and business users as standard.

This compiles a comprehensive range of stats that tell you far more about both your images and your SmartFrames than you’d otherwise ever know – and there’s plenty that can be done with this information.

From informing the design and layout of your website to fine-tuning Campaigns and boosting your e-commerce potential, learning about your audience’s behavior is the logical way of helping you achieve your goals faster and smarter.

Here’s everything you need to know to help you get started with SmartFrame Insights.

How to get started with SmartFrame Insights

When you log in to your account, simply click on Insights on the top navigation panel. Once you do, you’ll be presented with an at-a-glance view of recent activity.

The first things you’ll see are your most popular images, which are ranked by most views, most clicks, and most shares, and hovering over these images with your mouse cursor gives you more detailed information on that specific image.

Further panels show interactions with your images and your latest SmartFrames, together with the number and proportion of shares on social media sites and elsewhere.

These figures are provided for the past 30 days as standard, although you can amend this to a shorter or longer time frame using the drop-down control in the upper-left-hand corner. You can also click on the See More button within any of these panels, which allows you to check a broader range of information.

Image and SmartFrames interactions: what they tell you and why it’s useful

SmartFrame allows you to add a raft of features to your images, and these serve a range of purposes.

Some of these help you to present your images in the best way possible, while others provide further information on an image’s contents. These can also be used to grow your online audience and channel traffic to where it matters the most.

Some of these features are designed to be interacted with, and these interactions are recorded in Insights. Interactive features that you can add to SmartFrames include:

● Full-screen viewing: Fills the screen with your SmartFrame

● Hyper Zoom: Allows viewers to zoom progressively further into the SmartFrame

● Information button: Allows you to add additional details to describe what’s in the image within the SmartFrame

● Share button: Presents a range of options for sharing a link to your SmartFrame

● Call-to-action button: Allows you to highlight a social media channel, newsletter, and more

Using this information to gauge which features and images are popular is all the more important when you consider that many photographers and content owners have their own favorite images in their collection, only to find that other images resonate better with their audience.

So how can you put this information to good use? At a basic level, knowledge of an image’s popularity can be very useful when it comes to selecting images for your homepage, social media profiles, business cards, and other marketing materials.

If you run any Campaigns on your images, you can choose to use a clearly popular image as part of a promotional banner on several SmartFrames, or, alternatively, target SmartFrames that contain popular images with separate promotional messages.

This is where you may want to experiment with additional features you may not have used before. Let’s say you have an image that has been particularly popular in some way – perhaps people would like to buy a print of this image? You can experiment with a Call-to-action button, with an icon and wording of your choice, such as in the example below.

Some images will always tend to attract more attention than others. Landscapes, for example, are always popular. Images with plenty of fine detail will likely attract the use of Hyper Zoom, while portraits, or other images containing people, are also more likely to attract attention.

Knowledge of how an image is being viewed and interacted with can also be used to inform what you publish in the future. If, for example, you’re selling prints or other products, you may find people using tools such as Hyper Zoom and Full-screen viewing to scrutinize details prior to a purchase being made. This not only underlines the importance of including these in future SmartFrames, but also of uploading images in a sufficiently high resolution to allow these features to work well, something that will only grow in importance as display technology improves and displays with higher-resolution panels become more common.

What if I have the same image embedded in many different places online?

SmartFrame allows you to view interactions in two ways: by image and by SmartFrame. The same image, after all, can be transformed into many SmartFrames, so having this choice allows to you view only the most relevant information.

Let’s say you upload an image to SmartFrame and embed it on your website, your blog and perhaps your online store too. Data for this particular image would collate all views, shares, and other interactions to give you the fullest picture of its performance. Viewing these per SmartFrame, however, gives you a clearer idea of the performance of a specific SmartFrame, which means you can also compare results between different SmartFrames.

Tip: make sure to take into account all possible reasons as to why one image may be getting more attention than others. Perhaps it’s been used repeatedly, or shared more widely on social media than others. Or it may be that you’ve enabled certain features for one Theme and not another. Here, data on specific SmartFrames rather than images may be more useful to take into consideration.

Combating image-theft attempts

Anyone who cares about the appearance of their website will wonder to what extent they need to protect their images. Traditional methods of protecting images online, such as only posting low-resolution images and using permanently embedded watermarks, have generally resulted in a less-than-ideal appearance.

SmartFrame is far more flexible here, and its default settings provide strong protection over various forms of image theft, but many image owners still find it useful to know whether people are attempting to steal their images.

SmartFrame notices and records right-click and screenshot attempts on embedded SmartFrames. While right-clicks are not always theft attempts, a high number of right-click actions and screenshot attempts on a particular SmartFrame certainly suggests this may be the case. If you notice certain images attracting this kind of attention, you can reinforce the default protection with further deterrents:

Dynamic Watermark

This method of watermarking allows you to apply watermarks to existing SmartFrames and amend them at any point, without you having to re-upload your images. So, if you decide on a new watermark, or feel the need to make an existing watermark larger or smaller, or more or less opaque, you can do this directly through the Admin Panel. To access this, just head to the Theme you are currently using and scroll down to Watermark on the left-hand-side panel.

Out-of-focus protection

SmartFrame provides instant protection over common screenshot attempts using the default methods, such as Shift+Cmd+3 on a Mac, but screenshots can also be captured using third-party tools. For this reason, you can augment the default protection with an Out-of-focus protection option, which places a fine pattern over the image as soon as the user’s mouse cursor leaves the browser viewport. To access this, just head to the Theme you are currently using and scroll down to Advanced on the left-hand-side panel.

If you’re a Standard or Professional user, you can even customize the screenshot-deterrent message, perhaps to highlight legitimate sharing options, or even to draw attention to licensing or purchasing information for that specific image. You’ll find this option in the same Advanced panel as Out-of-focus protection.

Further ideas

If you notice your SmartFrames are performing well on a particular domain that’s not your own, you may want to explore a partnership with this channel, perhaps with a promotion that specifically targets this domain’s audience. To view this information, simply click on the box that shows the total number of domains on which your SmartFrames are found when you first enter the Insights panel, before clicking on Domains.

If you want to see trends and how well your SmartFrames have done over a longer period of time, you can view your data graphically. In the Insights panel, in the box titled Latest SmartFrames, click on See More before clicking on Graphs. Now just specify the time period you would like to check from the date drop-down menu and your results will be displayed below. This is also a good way to check spikes in views, clicks or shares that may have previously been missed.

Finally, it’s always a good idea to periodically check SmartFrames for missing images, particularly if you use an account to which a number of people have access. SmartFrames whose images are missing will remain embedded as SmartFrames, but they will indicate that the image itself is missing. Understanding where these are will allow you to remove inactive SmartFrames and replace these with new ones, which should help to keep your site looking professional and any other representation you have online as expected. In the Insights panel, in the box titled Latest SmartFrames, click on See More before checking the Missing Image option from the Status drop-down menu, making sure your date range is sufficiently broad to capture all missing images.

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