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We’re implementing DAM! Where do I start?

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We're implementing DAM! Where do I start?

Congratulations! You have the approvals and budget for your company’s first digital asset management (DAM) solution and are ready to jump in. Now what? The excitement of the early days of your DAM journey can quickly give way to apprehension when faced with the question: Where do I start?

Where are my assets?

Before you can decide on an appropriate DAM system and the amount of storage you’ll need, you need a complete picture of what you’re working with regarding the number of assets and file sizes. If your company produces a large volume of high-resolution video assets that will be stored in the DAM, that can take up a significant amount of storage space. It’s never too soon to start unearthing and gathering your company’s assets.

To get the most value out of your DAM, it needs to be the single source of truth for all of your assets. Leave no stone unturned. Account for all file types, including images, videos, documents and source files. Don’t assume that all of your assets are on the company shared drives. Shared drives are an excellent place to start, but make sure you’re also looking at Sharepoint sites, putting out a call for any external storage devices, and finding out if your users have a habit of storing things on their hard drives. Does your company work with agencies? Ensure they’ve supplied you with all the files they’re contractually obligated to provide.

Early indicators

Once you’ve made progress with gathering all your assets, look at what you’ve collected and see if you can start identifying some broad preliminary requirements:

  1. What range of file types and sizes does your DAM need to accommodate?
  2. Given the volume, depth, and history of assets you’re seeing, should everything go into the DAM from day one? Or does it make more sense to select a key date and upload every asset created from that day forward into the DAM while maintaining archival assets in another location? Remember that if you maintain archival assets in a separate location, they should be quickly and easily accessible by designated users. You’ll typically find that some legacy assets still approved for current use will fall outside the scope of what you’ve loaded into the DAM for its launch. These assets will need to be uploaded into the DAM as users request them.
  3. Do you typically generate multiple renditions for single assets? For example, do you have not only the original version but also a thumbnail, small, medium, and large versions?
  4. Will you need to account for versioning? When you upload a new version of an asset into your DAM, do you need to retain all previous versions for archival purposes and have them associated with the current version? Do the specific changes across versions need to be tracked?
  5. Are there specific legal or regulatory requirements around some or all of your assets?

Seeing double. Or triple.

Another asset-related task you’ll want to address sooner rather than later is duplicates. With assets scattered across multiple locations, duplicate copies of the same assets are bound to be in multiple locations. They may all have the same file name, allowing them to be easily identified, or they may not. Often it can take the trained eye of your creative team or content experts to identify duplicate assets with differing file names.

The sooner you start identifying and weeding out duplicates while you’re gathering assets, the better. You’re likely already familiar with the “garbage in, garbage out” principle, and you should remember it when prepping assets for upload into your DAM. Sure, you could throw everything in there and clean it up later, but will you? And in the meantime, how much confusion is it causing for your end-users, some of whom are being exposed to a DAM for the first time? You need to find time and resources to address the duplicates sometime, so make it a priority to do it before you’re ready for that bulk upload of assets into your shiny new DAM. You could be saving yourself time in not duplicating work by putting metadata on assets that will likely be deleted shortly after uploading to the DAM.

Who’s driving this DAM train? And who’s along for the ride?

Seriously consider bringing in a DAM librarian. The sooner, the better. You may be hesitant about spending part of your DAM budget on a full-time librarian, and yes, I may be a bit biased about this point, but it will be worth every penny. Having a librarian dedicated to the project from the beginning is especially crucial if this is your company’s first DAM. And to get the most out of your investment, find someone with the trifecta of DAM experience: selecting, setting up, AND maintaining a DAM. Bring them in as soon as possible. It will save you time and money in the long run because they can save you from making decisions early on that you’ll have to devote resources to fixing later.

As a librarian who has helped three companies launch DAMs, I know very well what not to do, and I can guide you away from making decisions you’ll regret later. Waiting to bring someone in until you realize you’re in over your head and have made some not-so-optimal decisions means your librarian could potentially spend months, if not years after they’ve arrived in “fix-it” mode while doing damage control and trying to convince users they can trust the system that did not make the best first impression.

If your DAM Librarian is the driver of your train, your stakeholders are your first-class, VIP passengers. Identifying them and getting their commitment to the project should happen as early as possible. This allows time for them to get any necessary approvals from their leaders and prep their schedules for the time commitment. When identifying stakeholders, make sure you include people from each separate division of your company that will engage directly with the DAM. Any group or department that will include regular end users of the DAM should be represented. And don’t forget that the IT and Legal departments need to be included.


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While you want to ensure you have a voice from each relevant area of the company, be careful about establishing too large of a stakeholder group, which could make discussions unwieldy and lead to issues coming to a consensus. Part of the stakeholder’s role is to represent their respective division and be a single voice for them in meetings, so only one stakeholder per area is required. Clearly define for your stakeholders the parameters of the role and your expectations. Be sure that they know the time commitment that will be involved, and get their commitment that they’re willing and able to remain fully engaged for the duration of the work. The participation of your stakeholders can significantly help or hurt the progress and timeline of your project, so set clear expectations right from the start.

While your DAM journey will ultimately be rewarding, there will be ups and downs along the way. Taking these few specific first steps will start your journey off on the right track and set you up for future success.


Opinions expressed in this article are those of the guest author and not necessarily MarTech. Staff authors are listed here.


About The Author

Rachel Edwards is an experienced digital asset manager who is passionate about metadata, taxonomies and data governance. She specializes in bringing order to data chaos since 2007.

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MARKETING

Comparing Credibility of Custom Chatbots & Live Chat

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Building Customer Trust: Comparing Credibility of Custom Chatbots & Live Chat

Addressing customer issues quickly is not merely a strategy to distinguish your brand; it’s an imperative for survival in today’s fiercely competitive marketplace.

Customer frustration can lead to customer churn. That’s precisely why organizations employ various support methods to ensure clients receive timely and adequate assistance whenever they require it.

Nevertheless, selecting the most suitable support channel isn’t always straightforward. Support teams often grapple with the choice between live chat and chatbots.

The automation landscape has transformed how businesses engage with customers, elevating chatbots as a widely embraced support solution. As more companies embrace technology to enhance their customer service, the debate over the credibility of chatbots versus live chat support has gained prominence.

However, customizable chatbot continue to offer a broader scope for personalization and creating their own chatbots.

In this article, we will delve into the world of customer support, exploring the advantages and disadvantages of both chatbots and live chat and how they can influence customer trust. By the end, you’ll have a comprehensive understanding of which option may be the best fit for your business.

The Rise of Chatbots

Chatbots have become increasingly prevalent in customer support due to their ability to provide instant responses and cost-effective solutions. These automated systems use artificial intelligence (AI) and natural language processing (NLP) to engage with customers in real-time, making them a valuable resource for businesses looking to streamline their customer service operations.

Advantages of Chatbots

24/7 Availability

One of the most significant advantages of custom chatbots is their round-the-clock availability. They can respond to customer inquiries at any time, ensuring that customers receive support even outside regular business hours.

Consistency

Custom Chatbots provide consistent responses to frequently asked questions, eliminating the risk of human error or inconsistency in service quality.

Cost-Efficiency

Implementing chatbots can reduce operational costs by automating routine inquiries and allowing human agents to focus on more complex issues.

Scalability

Chatbots can handle multiple customer interactions simultaneously, making them highly scalable as your business grows.

Disadvantages of Chatbots

Limited Understanding

Chatbots may struggle to understand complex or nuanced inquiries, leading to frustration for customers seeking detailed information or support.

Lack of Empathy

Chatbots lack the emotional intelligence and empathy that human agents can provide, making them less suitable for handling sensitive or emotionally charged issues.

Initial Setup Costs

Developing and implementing chatbot technology can be costly, especially for small businesses.

The Role of Live Chat Support

Live chat support, on the other hand, involves real human agents who engage with customers in real-time through text-based conversations. While it may not offer the same level of automation as custom chatbots, live chat support excels in areas where human interaction and empathy are crucial.

Advantages of Live Chat

Human Touch

Live chat support provides a personal touch that chatbots cannot replicate. Human agents can empathize with customers, building a stronger emotional connection.

Complex Issues

For inquiries that require a nuanced understanding or involve complex problem-solving, human agents are better equipped to provide in-depth assistance.

Trust Building

Customers often trust human agents more readily, especially when dealing with sensitive matters or making important decisions.

Adaptability

Human agents can adapt to various customer personalities and communication styles, ensuring a positive experience for diverse customers.

Disadvantages of Live Chat

Limited Availability

Live chat support operates within specified business hours, which may not align with all customer needs, potentially leading to frustration.

Response Time

The speed of response in live chat support can vary depending on agent availability and workload, leading to potential delays in customer assistance.

Costly

Maintaining a live chat support team with trained agents can be expensive, especially for smaller businesses strategically.

Building Customer Trust: The Credibility Factor

When it comes to building customer trust, credibility is paramount. Customers want to feel that they are dealing with a reliable and knowledgeable source. Both customziable chatbots and live chat support can contribute to credibility, but their effectiveness varies in different contexts.

Building Trust with Chatbots

Chatbots can build trust in various ways:

Consistency

Chatbots provide consistent responses, ensuring that customers receive accurate information every time they interact with them.

Quick Responses

Chatbots offer instant responses, which can convey a sense of efficiency and attentiveness.

Data Security

Chatbots can assure customers of their data security through automated privacy policies and compliance statements.

However, custom chatbots may face credibility challenges when dealing with complex issues or highly emotional situations. In such cases, the lack of human empathy and understanding can hinder trust-building efforts.

Building Trust with Live Chat Support

Live chat support, with its human touch, excels at building trust in several ways:

Empathy

Human agents can show empathy by actively listening to customers’ concerns and providing emotional support.

Tailored Solutions

Live chat agents can tailor solutions to individual customer needs, demonstrating a commitment to solving their problems.

Flexibility

Human agents can adapt to changing customer requirements, ensuring a personalized and satisfying experience.

However, live chat support’s limitations, such as availability and potential response times, can sometimes hinder trust-building efforts, especially when customers require immediate assistance.

Finding the Right Balance

The choice between custom chatbots and live chat support is not always binary. Many businesses find success by integrating both options strategically:

Initial Interaction

Use chatbots for initial inquiries, providing quick responses, and gathering essential information. This frees up human agents to handle more complex cases.

Escalation to Live Chat

Implement a seamless escalation process from custom chatbots to live chat support when customer inquiries require a higher level of expertise or personal interaction.

Continuous Improvement

Regularly analyze customer interactions and feedback to refine your custom chatbot’s responses and improve the overall support experience.

Conclusion

In the quest to build customer trust, both chatbots and live chat support have their roles to play. Customizable Chatbots offer efficiency, consistency, and round-the-clock availability, while live chat support provides the human touch, empathy, and adaptability. The key is to strike the right balance, leveraging the strengths of each to create a credible and trustworthy customer support experience. By understanding the unique advantages and disadvantages of both options, businesses can make informed decisions to enhance customer trust and satisfaction in the digital era.

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MARKETING

The Rise in Retail Media Networks

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A shopping cart holding the Amazon logo to represent the rise in retail media network advertising.

As LL Cool J might say, “Don’t call it a comeback. It’s been here for years.”

Paid advertising is alive and growing faster in different forms than any other marketing method.

Magna, a media research firm, and GroupM, a media agency, wrapped the year with their ad industry predictions – expect big growth for digital advertising in 2024, especially with the pending US presidential political season.

But the bigger, more unexpected news comes from the rise in retail media networks – a relative newcomer in the industry.

Watch CMI’s chief strategy advisor Robert Rose explain how these trends could affect marketers or keep reading for his thoughts:

GroupM expects digital advertising revenue in 2023 to conclude with a 5.8% or $889 billion increase – excluding political advertising. Magna believes ad revenue will tick up 5.5% this year and jump 7.2% in 2024. GroupM and Zenith say 2024 will see a more modest 4.8% growth.

Robert says that the feeling of an ad slump and other predictions of advertising’s demise in the modern economy don’t seem to be coming to pass, as paid advertising not only survived 2023 but will thrive in 2024.

What’s a retail media network?

On to the bigger news – the rise of retail media networks. Retail media networks, the smallest segment in these agencies’ and research firms’ evaluation, will be one of the fastest-growing and truly important digital advertising formats in 2024.

GroupM suggests the $119 billion expected to be spent in the networks this year and should grow by a whopping 8.3% in the coming year.  Magna estimates $124 billion in ad revenue from retail media networks this year.

“Think about this for a moment. Retail media is now almost a quarter of the total spent on search advertising outside of China,” Robert points out.

You’re not alone if you aren’t familiar with retail media networks. A familiar vernacular in the B2C world, especially the consumer-packaged goods industry, retail media networks are an advertising segment you should now pay attention to.

Retail media networks are advertising platforms within the retailer’s network. It’s search advertising on retailers’ online stores. So, for example, if you spend money to advertise against product keywords on Amazon, Walmart, or Instacart, you use a retail media network.

But these ad-buying networks also exist on other digital media properties, from mini-sites to videos to content marketing hubs. They also exist on location through interactive kiosks and in-store screens. New formats are rising every day.

Retail media networks make sense. Retailers take advantage of their knowledge of customers, where and why they shop, and present offers and content relevant to their interests. The retailer uses their content as a media company would, knowing their customers trust them to provide valuable information.

Think about these 2 things in 2024

That brings Robert to two things he wants you to consider for 2024 and beyond. The first is a question: Why should you consider retail media networks for your products or services?   

Advertising works because it connects to the idea of a brand. Retail media networks work deep into the buyer’s journey. They use the consumer’s presence in a store (online or brick-and-mortar) to cross-sell merchandise or become the chosen provider.

For example, Robert might advertise his Content Marketing Strategy book on Amazon’s retail network because he knows his customers seek business books. When they search for “content marketing,” his book would appear first.

However, retail media networks also work well because they create a brand halo effect. Robert might buy an ad for his book in The New York Times and The Wall Street Journal because he knows their readers view those media outlets as reputable sources of information. He gains some trust by connecting his book to their media properties.

Smart marketing teams will recognize the power of the halo effect and create brand-level experiences on retail media networks. They will do so not because they seek an immediate customer but because they can connect their brand content experience to a trusted media network like Amazon, Nordstrom, eBay, etc.

The second thing Robert wants you to think about relates to the B2B opportunity. More retail media network opportunities for B2B brands are coming.

You can already buy into content syndication networks such as Netline, Business2Community, and others. But given the astronomical growth, for example, of Amazon’s B2B marketplace ($35 billion in 2023), Robert expects a similar trend of retail media networks to emerge on these types of platforms.   

“If I were Adobe, Microsoft, Salesforce, HubSpot, or any brand with big content platforms, I’d look to monetize them by selling paid sponsorship of content (as advertising or sponsored content) on them,” Robert says.

As you think about creative ways to use your paid advertising spend, consider the retail media networks in 2024.

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Cover image by Joseph Kalinowski/Content Marketing Institute

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AI driving an exponential increase in marketing technology solutions

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AI driving an exponential increase in marketing technology solutions

The martech landscape is expanding and AI is the prime driving force. That’s the topline news from the “Martech 2024” report released today. And, while that will get the headline, the report contains much more.

Since the release of the most recent Martech Landscape in May 2023, 2,042 new marketing technology tools have surfaced, bringing the total to 13,080 — an 18.5% increase. Of those, 1,498 (73%) were AI-based. 

Screenshot 2023 12 05 110428 800x553

“But where did it land?” said Frans Riemersma of Martech Tribe during a joint video conference call with Scott Brinker of ChiefMartec and HubSpot. “And the usual suspect, of course, is content. But the truth is you can build an empire with all the genAI that has been surfacing — and by an empire, I mean, of course, a business.”

Content tools accounted for 34% of all the new AI tools, far ahead of video, the second-place category, which had only 4.85%. U.S. companies were responsible for 61% of these tools — not surprising given that most of the generative AI dynamos, like OpenAI, are based here. Next up was the U.K. at 5.7%, but third place was a big surprise: Iceland — with a population of 373,000 — launched 4.6% of all AI martech tools. That’s significantly ahead of fourth place India (3.5%), whose population is 1.4 billion and which has a significant tech industry. 

Dig deeper: 3 ways email marketers should actually use AI

The global development of these tools shows the desire for solutions that natively understand the place they are being used. 

“These regional products in their particular country…they’re fantastic,” said Brinker. “They’re loved, and part of it is because they understand the culture, they’ve got the right thing in the language, the support is in that language.”

Now that we’ve looked at the headline stuff, let’s take a deep dive into the fascinating body of the report.

The report: A deeper dive

Marketing technology “is a study in contradictions,” according to Brinker and Riemersma. 

In the new report they embrace these contradictions, telling readers that, while they support “discipline and fiscal responsibility” in martech management, failure to innovate might mean “missing out on opportunities for competitive advantage.” By all means, edit your stack meticulously to ensure it meets business value use cases — but sure, spend 5-10% of your time playing with “cool” new tools that don’t yet have a use case. That seems like a lot of time.

Similarly, while you mustn’t be “carried away” by new technology hype cycles, you mustn’t ignore them either. You need to make “deliberate choices” in the realm of technological change, but be agile about implementing them. Be excited by martech innovation, in other words, but be sensible about it.

The growing landscape

Consolidation for the martech space is not in sight, Brinker and Riemersma say. Despite many mergers and acquisitions, and a steadily increasing number of bankruptcies and dissolutions, the exponentially increasing launch of new start-ups powers continuing growth.

It should be observed, of course, that this is almost entirely a cloud-based, subscription-based commercial space. To launch a martech start-up doesn’t require manufacturing, storage and distribution capabilities, or necessarily a workforce; it just requires uploading an app to the cloud. That is surely one reason new start-ups appear at such a startling rate. 

Dig deeper: AI ad spending has skyrocketed this year

As the authors admit, “(i)f we measure by revenue and/or install base, the graph of all martech companies is a ‘long tail’ distribution.” What’s more, focus on the 200 or so leading companies in the space and consolidation can certainly be seen.

Long-tail tools are certainly not under-utilized, however. Based on a survey of over 1,000 real-world stacks, the report finds long-tail tools constitute about half of the solutions portfolios — a proportion that has remained fairly consistent since 2017. The authors see long-tail adoption where users perceive feature gaps — or subpar feature performance — in their core solutions.

Composability and aggregation

The other two trends covered in detail in the report are composability and aggregation. In brief, a composable view of a martech stack means seeing it as a collection of features and functions rather than a collection of software products. A composable “architecture” is one where apps, workflows, customer experiences, etc., are developed using features of multiple products to serve a specific use case.

Indeed, some martech vendors are now describing their own offerings as composable, meaning that their proprietary features are designed to be used in tandem with third-party solutions that integrate with them. This is an evolution of the core-suite-plus-app-marketplace framework.

That framework is what Brinker and Riemersma refer to as “vertical aggregation.” “Horizontal aggregation,” they write, is “a newer model” where aggregation of software is seen not around certain business functions (marketing, sales, etc.) but around a layer of the tech stack. An obvious example is the data layer, fed from numerous sources and consumed by a range of applications. They correctly observe that this has been an important trend over the past year.

Build it yourself

Finally, and consistent with Brinker’s long-time advocacy for the citizen developer, the report detects a nascent trend towards teams creating their own software — a trend that will doubtless be accelerated by support from AI.

So far, the apps that are being created internally may be no more than “simple workflows and automations.” But come the day that app development is so democratized that it will be available to a wide range of users, the software will be a “reflection of the way they want their company to operate and the experiences they want to deliver to customers. This will be a powerful dimension for competitive advantage.”

Constantine von Hoffman contributed to this report.

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