Destination Marketing Organizations (DMOs) are under increasing pressure to demonstrate accountability in their reporting metrics. Heightened economic challenges and closer scrutiny of their budgets means that the need for tourism boards to utilize meaningful data and KPIs to showcase their true impact has never been more critical.. And while traditional metrics like CTR, impressions, and website traffic are still useful, they are no longer sufficient to validate the effectiveness of digital marketing efforts. Instead, it's essential to shift focus to the metrics that genuinely reflect success.
Fortunately, technology has evolved significantly in the last few years, making it possible to do exactly this. So let&rsquo;s make sure that your DMO is using the meaningful data that will enable your organization to adjust to the new demands on performance indicators and report on the metrics that truly matter.
For the full conversation, watch the recording.

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Economic challenges demand better metrics for DMOs. Traditional KPIs fall short. See how destinations are making a shift in their reporting.

KPIs & Conversions for Destinations and their DMOs

Destination Marketing Organizations (DMOs) are under increasing pressure to demonstrate accountability in their reporting metrics. Fortunately, technology has evolved significantly in the last few years, making it possible to do exactly this. Find out what destinations are doing for better reporting and strategizing with this new data at their fingertips.

KPIs and Conversions for DMOs in the New Digital Landscape

Big news: Datafy&rsquo;s all-new Advanced Spending Dashboard is now live - and it&rsquo;s giving Datafy clients new ways to enrich their work using comprehensive insights into how and where spending most impacts their destination. Before we get into the fun part - how you can actually put this new data to work in your destination - let&rsquo;s take you behind the curtain to touch on how we did it, and why it matters.&nbsp;

The new spending module looks at a cross-section of credit and debit cards from Mastercard, Visa, Discover and American Express. But rather than just aggregating and spitting the data back out, Datafy&rsquo;s in-house data science team - with its years of experience in cleaning, analyzing, and modeling datasets for the travel industry - applies Datafy&rsquo;s proprietary algorithm to the new raw data. This means that the previously-honed logic and technology that made us experts at factors like detecting trips, identifying visitors, removing anomalies, and correcting for sample distribution irregularities, has turned this new raw data set into the most accurate and relevant spending data available to destinations - And, it has exciting implications for the high confidence that users can have when looking at tourism-related metrics like average spend per visitor, average transactions per trip, trip length of spenders, and top spending markets.&nbsp;

Now that you know how it works, let&rsquo;s talk about how you can actually put it to use in your destination.&nbsp;

<ul>
<li>
Understand and identify your &ldquo;ideal visitor&rdquo;: Are you trying to reach overnight visitors? Or maybe your hotels are full, and you want to spread the economic impact around so that more local businesses are benefiting - then let&rsquo;s talk about reaching those that spend in retail or dining and nightlife.&nbsp;
</li>
<li>
Identify spending trends: Compare annual spending year-over-year and understand how spending fluctuates throughout the year. Examine the seasonal visitation patterns in your destination and see how that is reflected in spending.&nbsp;&nbsp;
</li>
<li>
Understand your top markets: Clearly identify which markets contribute the most to your destination in terms of economic impact and discover which region&rsquo;s visitation is driving the most economic impact to your community.&nbsp;
</li>
<li>
Understand which categories are driving the most impact: Is accommodation the economic heavy-hitter in your destination? How does its impact compare to that of dining and nightlife? Or specialty retail? This tool gives us a clear picture of that breakdown.&nbsp;
</li>
</ul>

This new data does a LOT - but it&rsquo;s also worth touching on what it doesn&rsquo;t do. It isn&rsquo;t a 100% capture of all spend (cash, anyone?), nor is it a direct replacement for economic impact studies, sales tax, or lodging data. (We filter out all transactions that are not in a tourism-related category, because we want this figure to be reflective of only visitor spending.)

Do you have questions about how you can put the new Advanced Spending Data to work in your destination? Reach out today and let&rsquo;s get started.&nbsp;

Big news: Datafy’s all-new Advanced Spending Dashboard is now live - and it’s giving Datafy clients new ways to enrich their work using comp

Datafy Launches NEW Advanced Spending Dashboard

Big news: Datafy’s all-new Advanced Spending Dashboard is now live - and it’s giving Datafy clients new ways to enrich their work.

Ever feel like the answers to your questions about CTV are more gray than black and white? You may find yourself asking questions like:&nbsp;
Where will my ads run? Are they running on Chromecast or Apple TVs? Did any of the ads run on [insert popular streaming app here]? Why is this CTV more expensive than what another vendor quoted me?&nbsp;
And the unsatisfying truth is that, oftentimes, the answer to these kinds of questions is going to be, &ldquo;well, it&rsquo;s a little more complicated than that...&rdquo; Let&rsquo;s talk about why that is.&nbsp;

<h2>CTV can mean different things to different agencies and vendors.</h2>
Depending on how they place CTV, agencies and vendors can be referring to different things when they mention CTV. They could be talking about:&nbsp;
<ul>
<li>
Pure, private CTV: CTV in its purest form refers to streaming video delivered in a living room environment through Connected TV devices. (Think: Apple TV, smart TVs, Chromecast, etc.) Psst&hellip; this is what Datafy means when we say &ldquo;CTV&rdquo;!&nbsp;
</li>
<li>
Open Exchange CTV: A diluted version of pure CTV that allows for ads to appear on uncontrolled content, apps, or networks, placed on re-sold inventory, or run on public TVs. (Think about those muted TVs in your dentist&rsquo;s waiting room.) This kind of uncurated inventory is generally less selective, and therefore less premium&hellip; which is why Datafy avoids placing anything outside of our custom, curated placements.&nbsp;
</li>
<li>
Over the Top (OTT), including CTV: Big screens through Connected TVs, plus smaller screens such as tablets, laptops, desktops, and/or smartphones.&nbsp;
</li>
</ul>
It&rsquo;s important to remember that you may be targeting undesirable placements if your CTV inventory is not curated. And while buying non-curated Open Exchange CTV can keep costs down, it will definitely dilute some of the key benefits of a&nbsp;<a href="https://www.datafyhq.com/blog/three-things-about-connected-tv-ctv-advertising">solid CTV strategy</a>.&nbsp;

<h2>Everyone wants a piece of the advertising pie.</h2>
CTV inventory is bought and sold through complex pathways, and vendors can usually buy the same ad space through several different channels:&nbsp;
<ul>
<li>
Directly from the content owner: The owner controls programming on their specific channel (for example: Fox, NBC Universal, etc.) and sells the ad space through a traditional sales funnel on a full contract commitment. (As opposed to programmatically on an impression-by-impression basis.)&nbsp;
</li>
<li>
Through premium distributors: Content is aggregated across distributors like Hulu, xfinity, Sling, etc.&nbsp;
</li>
<li>
Working with aggregated publisher content from larger cable or telecomm providers: (i.e. Comcast, AT&amp;T, etc.) This often offers additional targeting, based on the provider&rsquo;s subscriber data and their ability to bundle CTV inventory with traditional TV space.&nbsp;
</li>
<li>
Through private deals or Open Exchange CTV supply aggregators: Allowing for more refined and specific first-party and third-party targeting across broader and more diverse content like Roku, SpotX, etc.&nbsp;
</li>
</ul>
Why does this matter to the general media buyer? Because you can be buying similar inventory in different ways, depending on how your audience is watching their shows, and who has the best price for the same inventory. This can lead to self-competition or unexpected reporting on KPIs or capabilities.&nbsp;

<h2>Some reporting is less transparent than you'd think.</h2>
CTV comes with <a href="https://www.datafyhq.com/blog/three-things-about-connected-tv-ctv-advertising">amazing measurement and targeting benefits</a> - but, depending on who you bought the ad from, reporting can get a bit sticky as some content owners like to keep pieces of information for themselves. Oftentimes, we&rsquo;ll see a drop in content-level transparency (where was the ad placed?), but increased transparency on the audience / household-specific metrics (who saw the ad?). Or, vice versa, we&rsquo;ll see a decrease in audience transparency paired with an increase in content-level transparency.&nbsp;
While we all want the most transparent content reporting AND the most refined targeting options, getting both can be pretty unrealistic when it comes to CTV. Instead, placement options with the most refined audience targeting will tend to favor audience or household-specific metrics, whereas placement options with the most transparent content reporting will generally favor content-level metrics.&nbsp;
So with that, we'll leave you with some final questions to ask yourself and your CTV vendor if you're ever feeling like you need additional clarity on the topic:

Ask Yourself
Is content reporting (where I am placing my ad) more important or is the audience (who sees my ad) more important to me?
What reporting metrics do I want?
How much am I willing to pay per targeted household?

Ask Your Vendors
Is your CTV running in exclusively big-screen, private living room environments? How do you know?
Have you curated your premium content placements? Do you know if these deals exclude re-sold inventory?
Are you limiting your delivery by content category, network, app, etc? Can you?
Who are you buying your inventory from?
Can you report genre, network, app and/or channel-level reporting to show where my ads appeared? If not, what exactly can you share?
What device types do you target to hit that CPM? Are you targeting premium content only?

Feel like the answers to your questions about Connected TV advertising are more gray than black & white? Datafy's got you covered, read on.

Why Connected TV (CTV) Advertising is Not Black & White

Ever feel like the answers to your questions about CTV are more gray than black and white? Oftentimes, the unsatisfying answer to these questions is going to be, “Well, it’s a little more complicated than that…” Let’s talk about why that is.

CTV: It’s Not Black and White

There&rsquo;s no denying that 3rd party cookies have been a tremendously helpful tool for marketers, and that DMOs will feel their absence when Chrome officially disables. We&rsquo;re especially going to feel it in areas like website retargeting, third-party website analytics, and interest-based advertising audiences, as traditional website retargeting becomes more difficult, reaching niche audiences becomes more expensive, and digital demographics targeting become unreliable &ndash; or disappear entirely. It&rsquo;s essential to recognize that these challenges have created the need for new solutions.&nbsp;&nbsp;
So how can DMOs execute successful audience targeting strategies that don't require third-party cookies? The answer lies in placing a greater emphasis on first-party data, leaning into geo-based and contextual targeting strategies, and in the emerging concepts of identity networks and clean rooms.
First-party data
<ul>
<li>We know how hard your DMO has been working to build this list, so let&rsquo;s start growing it and using it &ndash; Not only for email marketing campaigns, but also for more types of programmatic targeting and in-market attribution.</li>
</ul>
Geo-based and contextual strategies
<ul>
<li>Leaning into geo-based strategies (putting your advertising dollars into the geographical markets where you&rsquo;ll get the most traction) and contextual strategies (placing advertising on websites whose readers are likely to share your interest) will still allow DMOs to reach their most strategic audiences.&nbsp;</li>
</ul>
Clean rooms and identity networks
<ul>
<li>The deprecation of cookies will lead to the rise of identity networks and clean rooms &ndash; two concepts that allow us to analyze and activate customer data within the new privacy framework, and work hand-in-hand with each other to allow us to link online activity to the same user.</li>
</ul>
Contact your Datafy CX representative or&nbsp;<a href="https://www.datafyhq.com/contact" rel="follow">book a demo</a> to see how we&rsquo;re already implementing these critical emerging marketing tactics for destinations.

DMOs can and are successfully adapting to the loss of third-party cookies and Datafy is helping them using these three strategies...

The Cookie-less Future

As third-party cookies phase out, marketers face challenges in retargeting, analytics, and audience targeting. Here we explain how DMOs can navigate this shift by leveraging first-party data, geo-based and contextual strategies, and emerging tools.

Due to ongoing shifts in user privacy frameworks and geolocation data, (we&rsquo;re looking at you, Apple and Google!) it&rsquo;s time for our industry to adapt. As we all know, more user control over data sharing impacts data availability and consistency - so let&rsquo;s recognize the new limitations while continuing to focus on what geolocation still does better than anything else.&nbsp;
There are a few best practices that DMOs can employ this year to make sure that they&rsquo;re getting the most out of their geolocation data, in light of the privacy changes:&nbsp;
<ul>
<li>
Focus on large footprint areas: Geolocation data&rsquo;s reliability depends on having a sufficient sample size - and the new privacy restrictions means that there may not be enough data available in smaller footprints to be able to consider the data reliable and valid. (The smaller a point of interest is, the less likely it is to have enough data available to be suitable for analysis.) This means that geolocation data is not a people counter, nor is it likely going to be relevant for, say, an individual shop or restaurant.&nbsp;
</li>
<li>
Strategic KPIs: Focus on KPIs like origination markets, length of stay, and seasonality and relative performance. These KPIs are still an area of great strength for geolocation data, and are also critical to DMO strategy and accountability.&nbsp;
</li>
<li>
Layer in additional data sets: Layering in additional data sets like spending, airport, or lodging data will create a more well-rounded view of the destination and create multiple reference points. Doing so will create more comprehensive and accurate insights, and give you even more confidence in your data.&nbsp;
</li>
<li>
Updated modeling and analysis tools: Data vendors need to be working with updated modeling and analysis tools that are reflective of the new ways that users are approaching geolocation data. Make sure that your vendor isn&rsquo;t being left behind!
</li>
</ul>
At the end of the day, smartphone geolocation data still boasts over 150 million active monthly users, so let&rsquo;s not make the error of discounting its significance or applicability to the tourism industry. As long as these adjustments are made, it can and should still be considered a central pillar of your digital marketing strategy - we know that it&rsquo;s going to remain one of ours!&nbsp;

Adapting to privacy shifts: Exploring how the evolving landscape of user privacy impacts geolocation data usage and your data.

Privacy Frameworks - Navigating these new parameters

New Privacy Frameworks - What To Do

Ogden, UT (April 25, 2024) - Analytics and ad-tech platform provider <a href="http://www.datafyhq.com">Datafy</a> announced today the launch of its new generative AI tool, an embedded conversational analytics tool, designed specifically for the needs of destination marketing organizations (DMOs). The new tool seamlessly integrates AI functionality into Datafy&rsquo;s industry-leading data analytics software technology, offering enhanced visitor and data analytics capabilities that can analyze and synthesize large amounts of data with previously unprecedented speed and efficiency. This launch marks Datafy as the first-to-market in creating an automated, integrated AI tool for data interpretation in the travel industry, and provides clear direction on the significant role that AI can play in destination marketing.&nbsp;
Datafy&rsquo;s new AI tool allows users to identify new stories, KPIs and trends by using one of two pre-engineered prompts. Both offer consistent summaries of the high-level KPIs most important to DMOs; they primarily differ in whether they are summarizing or analyzing the data:&nbsp;
<ul>
<li>
Data Summarization Prompt: Provides a simple summary of the data by extracting and conveying the dataset&rsquo;s key information into a coherent and concise textual format. May include easy-to-understand statistics and trends.&nbsp;
</li>
<li>
Analysis Prompt: Offers insights and analysis from the data to identify trends and provide a deeper view into the destination.&nbsp;
</li>
</ul>
<blockquote>
&ldquo;We&rsquo;ve made AI manageable and approachable by offering access to succinct, consistent, and easily-interpreted results. We&rsquo;ve taken the guesswork out of figuring out how to feed real data, context, and high quality prompts into the AI,&rdquo; said Datafy Co-founder and President Kelby Bosshardt.
&ldquo;Our fully-integrated system enables DMOs to quickly give stakeholders thorough insights into how their destination is performing, and we can&rsquo;t wait to see it stretch beyond that. We&rsquo;re excited to see our clients use it to identify insightful trends, to structure advertising campaigns, and as a brainstorming tool to develop strategies.&rdquo;
</blockquote>
At a time where many DMO leaders remain hesitant to embrace generative AI tools such as ChatGPT in destination marketing, Datafy's new AI capabilities represent a tangible way that tourism professionals can harness its power to enhance and streamline their marketing efforts - freeing up more time to focus on what they do best.&nbsp;&nbsp;
To learn more about Datafy&rsquo;s industry-leading technology capabilities, visit <a href="http://www.datafyhq.com">www.datafyhq.com</a>.&nbsp;

*Skift (2024, April)&nbsp; ChatGPT&rsquo;s Value for Tourism: Few Boring Top 10 Lists. Retrieved from <a href="https://skift.com/2024/03/06/chatgpts-value-for-tourism-fewer-boring-top-10-lists/">https://skift.com/2024/03/06/chatgpts-value-for-tourism-fewer-boring-top-10-lists/</a>

Expanding tech capabilities from data analytics leader puts power of AI in hands of DMOs

DATAFY LAUNCHES NEW AI TOOL WITHIN TECHNOLOGY PLATFORM

What&rsquo;s iROAS? It stands for Incremental Return on Ad Spend, and it measures your marketing effort&rsquo;s impact on revenue. The key difference between iROAS and the oft-used ROAS is&nbsp;incrementality. ROAS doesn&rsquo;t always give the full picture, but being able to measure incrementality means that we can better illustrate the value of your marketing efforts, when taking into account the visitation that is already occurring. iROAS allows you to isolate the impact of your marketing, separate from other potential factors and in doing so, makes it possible to verify that your organization&rsquo;s marketing efforts led to incremental attributable trips - trips that would not have occurred otherwise.&nbsp;
Determining iROAS requires proving the impact excluding the baseline. It measures a baseline visitation rate - a rate that people from certain markets are already showing up in your destination, with or without advertising efforts. First we determine: At what rate did this control group show up in-market? These are your baseline visits. Then, we measure the same question, but for people who were exposed to the campaign&rsquo;s advertising. At what rate did the ad-targeted audience show up in-market? Comparing the two may reveal a statistic such as:&nbsp;&ldquo;Ad-aware customers were 9.5x more likely to visit than the control group.&rdquo;&nbsp;In doing so, it becomes possible to link your marketing efforts to increased visitation in your communities.&nbsp;
The exact iROAS figure is determined by subtracting baseline visits from attributable visits, and multiplying that number by the average spend of the visitor when they&rsquo;re in-market. This number represents the incremental campaign impact, removing any baseline visitation we expect was happening anyway. Then, that number is divided by cost of the campaign, and - voila - you have your iROAS!&nbsp;

<img height="83" width="624" src="https://lh7-us.googleusercontent.com/KG6qaH4B892q5zf6MhwlNdTAYea4FwiMQIPVJN2Az27gwjYjmijuRWfGhKjHjHfGK740Dj-DfscUPv6nRxdBAy_d1lpCdgdDpU-x-AUvNbAfGfU8TCesvvVMmWwaxpcg5e_7kxAeDwyiCb37j9xHVz0" style="display: block; margin-left: auto; margin-right: auto;">

As the tourism industry maintains an increased focus on stewardship, we&rsquo;re going to continue to see growing economic pressure on tourism boards - making it more important than ever for DMOs to really be able to prove their impact. Doing so is going to require a more sophisticated approach than what we&rsquo;ve been doing in the past, which is why we expect that the iROAS metric is going to become one of the most important and sought-after KPIs moving forward.

With iROAS, help your DMO showcase its value, optimize strategies, and thrive in an era of economic challenges and heightened accountability.

iROAS: The Metric that Matters for DMOs

You’ve heard of ROAS, but the metric that everyone’s talking about is iROAS. Let’s make sure that you’re one of them.

IROAS: The Metric that Matters

When it comes to leveraging geolocation data for destination marketing, two fundamental concepts emerge: visitor makeup and visitation estimates. While these concepts can work together while painting a full picture of a destination&rsquo;s narrative, their methodologies and the questions that they answer are very different. Of course, this tends to make things more complicated - so we&rsquo;re here to explain.

<img src="https://cdn.buttercms.com/pmOAezNyTTSKAS8vYHZf" alt="undefined" width="880" height="446" style="display: block; margin-left: auto; margin-right: auto;">

Why does this all matter?&nbsp;Because knowing when and how to utilize visitor makeup vs. visitation estimates will help DMOs leverage more impactful data that will resonate with their audiences and ultimately drive more successful marketing.&nbsp;
Still looking for additional clarity on visitation estimates vs. visitor makeup? Check out the video below, where we break down these concepts even further.


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A two-minute read for DMOs seeking to understand the methodologies behind geolocation data for their destination.

Geolocation 101: Understanding your data

Are you using geolocation data the right way? 
Do you need help understanding how your geolocation estimates are made? 
Dive into this quick read to make sure you're asking the right questions when digging into your data.

Geolocation Data 101: Understanding your geolocation data

We won&rsquo;t try to deny it: We talk about attribution a lot. But in our defense, it&rsquo;s a really big deal in our world. Attribution is an all-star in the realms of KPI measurement and reporting &ndash; so it&rsquo;s no wonder why we&rsquo;re such big fans. Let&rsquo;s talk about the essentials &ndash; the what, who, where and why &ndash; of attribution&hellip; and when we&rsquo;re done, you may find yourself just as excited about it as we are.

What is attribution?
Big picture: Attribution is a reporting strategy that gives digital marketers invaluable insights into the specific digital strategies that are converting for your organization by linking media efforts to digital or in-market conversions. It allows you to measure** the performance of your digital marketing channels and even see which of your different digital channels are performing best.
Who should do it?
You! But more specifically: Attribution is for any DMO that wants to show the impact of their work by being able to measure and report on the visitation to their destination that has occurred as a result of their digital advertising efforts.
Where can it be utilized?
Datafy can run attribution in conjunction with our own advertising program &ndash; but we know that you may have a diversified digital campaign across multiple vendors / channels. Are you working with media channels like Connected TV, digital streaming audio, sponsored content, or native ads? No problem &ndash; we can place a Datafy pixel on your digital media. We&rsquo;re talking everything from your own website, to external digital media placements.&nbsp;
Why is it important?
Remember when we said that attribution allows you to analyze the performance of your digital marketing? Think about what this means for a DMO: We can measure and report on visitation to your destination from those that have been exposed to your advertising. This gives DMOs the opportunity to present a defendable ROI for their marketing efforts. Insights from attribution can also be used to help inform strategy, build trust with stakeholders, secure long-term funding, and gain advantage over competitors.

Now that you know the ins and outs of attribution, let&rsquo;s not forget about the all-important how. Luckily, this is an easy one. Just connect with your Datafy CX representative. Together, you can discuss your goals and current strategies and come up with a plan for target impressions, length of campaigns, top vendors/tactics, and anything else you need to get started.&nbsp;

&nbsp;**What kind of measurements are we talking about? When attribution is part of your digital strategy with Datafy, you can also expect visitor insights from ad-aware, in-destination visitors, an impact calculator to show return on ad spend, incremental lift analysis on paid media, and visitor attribution metrics broken down by vendor, campaign and tactic.

Discover why attribution is the secret sauce of digital marketing, who should be paying attention, where it fits into your strategy, and why you'll be just as excited about it as we are.

Attribution 101: Understanding the who, what and why behind attribution

Discover why attribution is the secret sauce of digital marketing, who should be paying attention, where it fits into your strategy, and why you should be just as excited about it as we are.

In 2023, advertisers acknowledged that CTV is no longer an emerging tactic. In 2024, we expect brands to stop asking &ldquo;should I invest in CTV?&rdquo; and start asking &ldquo;how should I invest in CTV?&rdquo;&nbsp;
Investment in CTV is growing every year, and we can expect it to keep growing as advertisers continue to link CTV campaigns to real business goals and successes. And it&rsquo;s not just for Coke and Doritos anymore&hellip; Creative new programmatic advertising programs offer accessible advertising budgets that make it possible for tourism organizations to dabble in this exciting advertising medium, while our next-level attribution abilities make reporting back on your CTV efforts more meaningful and defensible than ever.&nbsp;
Given its strong results, rapid growth and relevance to the tourism industry, Datafy believes that CTV is one of the topic tactics that our clients need to be considering for their 2024 media mix. And here are a few things about CTV to keep in mind as you and your team are building out your plan:&nbsp;
<ol>
<li>
CTV is not as expensive as it seems. While CPMs can cause sticker shock when you compare to other digital tactics or even traditional TV, more refined targeting capabilities paired with frequency capping can allow a greater penetration of your core audience segments, and even generate a lower cost per aware household when compared to other tactics.
</li>
<li>
CTV&rsquo;s impressions are good. And we mean really good. CTV offers higher levels of attention, ad recall, and co-viewing than other tactics. (Yes, including traditional TV). What does that mean? Your lower cost-per-aware-household can still lead to higher destination recall and even more aware people who are engaged with the streaming content - and receptive to the short ad breaks.&nbsp;
</li>
<li>
CTV is highly-measurable - and partnering with Datafy takes it to the next level: Datafy provides real-time data insights and full-circle visitor attribution reporting, which can include: video completion rates, cross-device digital conversations, and even in-market footfall attribution.&nbsp;
</li>
</ol>
Interested in learning more about CTV and how it can be leveraged to reach your business goals? Reach out to <a href="https://www.datafyhq.com/contact" title="our team" rel="follow">our team </a>today and get started.&nbsp;

&nbsp;

What exactly is Connected TV (CTV) and why does it matter for your digital advertising and marketing strategies? Datafy explains.

Three Things to Know about Connected TV Advertising

The what, how and why of Connected TV (CTV).  Datafy discusses what exactly  CTV is and why it matters for your advertising strategies and that bottom line.

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KPIs and Conversions for DMOs in the New Digital Landscape

Written By - Lauren Rogers

May 2024

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