DAM Total Cost of Ownership: What to Include | Orange Logic

Summary: A complete DAM total cost of ownership (TCO) covers everything it takes to choose, launch, run, and eventually leave a platform, measured over three years. That includes software licenses, implementation and configuration, migration and cleanup, integrations, AI usage, storage and delivery, administration and governance, and training and support. It should also count indirect costs, like time spent searching for or recreating assets, plus the cost of exporting your assets and leaving if the platform doesn't work out. The two costs most likely to be missed are the ones no vendor invoices: low user adoption and replacing a DAM that can't grow with you, which can cost the equivalent of one to three years of software fees.

Finding a DAM is a little like finding a new home. There’s the listed price, and then there’s everything else. What kind of shape is it in? Can your team move in and use it easily or will its quirks require repairs and workarounds? Does it have what you need nearby, whether it’s a good school district or, in the case of DAM, solid integrations for the tools your team already uses? And most importantly, will it still fit as your family grows, or will you be moving out again in a few years?

So before you commit to a new home for your content, take a look at where hidden costs creep into DAM ownership, and the best way to surface those costs during your evaluation.

What does DAM total cost of ownership include?

Your DAM TCO includes everything needed to choose, launch, run, and eventually leave a digital asset management platform. It’s not just what you pay the vendor. You should also consider the cost of related providers and the time cost generated, or saved, by your own team.

How many years should a DAM TCO cover?

When you’re estimating a DAM’s TCO, three years is a good length for basing your projections. It’s long enough to show how a DAM actually performs, and short enough to change course if the solution isn’t working out. It also captures a few things a one-year view might miss:

• Implementation takes time to pay off. A one-year model front-loads costs, which makes every platform feel expensive and often hides which one will justify its cost.
• Years 2 and 3 are where growth shows. If a DAM gives an organization what it needs, new teams and capabilities may be added on after Year 1. A successful DAM may both add and subtract costs as the user base grows and other redundant software is sunsetted.
• Three years is where some organizations feel growing pains. That’s often when new teams try to join and find the platform can’t support their workflows, and when a renewal forces a hard look at how many people actually use it. If a DAM can’t carry you through Year 3, the real cost includes a second implementation.

TIP: Don’t confuse TCO with return on investment (ROI). Your TCO tells you what a platform will cost; ROI tells you if the cost is worth it. You need both numbers to figure out which vendor is the best choice for your organization.

The biggest hidden costs in DAM

You can negotiate a subscription, a service, or consumption fees with a vendor, and those costs are easy to compare side by side. However, there are two costs that can’t be invoiced and add up quickly.

Replatforming every few years

Maybe your initial plan was a content repository for just one team. But what happens when other teams have gotten wind of the advantages of a DAM and your content repository needs to evolve into a content orchestration platform? Can your platform expand to new teams and regions and fit their workflows? If not, then you’ve got two solutions: let other teams develop their own siloed systems (a potentially expensive workaround) or find another platform.

But each time you replatform, you incur that expensive first year of DAM ownership all over again. There’s the cost of migration and configuration during implementation, the toll of running two systems as you transfer everything over, and the work of retraining users and rebuilding adoption. All in all, implementation can cost the equivalent of one to three years of software and consumption fees. Replace your DAM every three years, and you’ll spend 33% to 100% more than you would on a platform that can grow with you.

For instance, the DAM manager at Fanatics, Julie Warwick, went looking for a new DAM when the existing one hit its limit. As Fanatics brought on more partners and vendors, it couldn’t tailor access for each one. At the same time, the platform showed scalability limits as Fanatics grew, and the vendor’s roadmap didn’t match where the organization was headed. Julie said, “Our previous vendor was great for what we needed at the time, but as we kept growing, our needs were growing too.” Now she recommends looking at each vendor’s roadmap before you buy, to make sure it lines up with where your organization is headed.

It also helps to map out what the DAM needs to accommodate over the next few years, whether that’s new teams or a system that can adapt to growing AI use. Then test each platform against where you’re headed, not where you are today.

A DAM no one uses

No matter how many capabilities a platform has, if users aren’t using it, you’re wasting money. So if your search isn’t turning up what users need or the system is just hard to use, a few things can happen:

• Users email the DAM team and ask them to find the right file. The DAM team becomes the asset retrieval team, instead of their actual job: managing taxonomy and governance.
• Users give up on the DAM entirely and come up with work arounds. You’re back to silos at best and dealing with shadow tech at worst, with no view into newly created assets.
• Users turn to any content they can find. That can include expired or unapproved assets, which creates a brand and legal risks a DAM is supposed to protect against.

The trouble is, the cost of low adoption is hard to see. Time spent searching shared drives, waiting on the DAM team, or working from personal folders never shows up on an invoice, so it rarely makes it into a TCO model. But it does cost your organization, in admin time, delayed campaigns, and lost or recreated assets.

On the other hand, you can have an enormous organization-wide benefit that stems from successful adoption. At SAS, the user base grew by 3,733% across the company because people found they could work more efficiently with it.

TIP: Adoption is more important to DAM success than any capability or feature, so test for it. Bring regular users into the selection process, not just the DAM team. Give them the opportunity to test out the platform you’re considering to see how they handle search or other capabilities they’ll be expected to use.

What should be included in DAM total cost of ownership?

Your DAM total cost of ownership should include what you pay the vendor, what it takes to implement the system, and the costs of running the platform over the course of three years. Below, we break down each of those costs: what it is, why it matters, and how it tends to change from Year 1 to Year 3.

Software license and user access

What it is: Subscription fees, user licenses, any additional tiers or modules

Why it matters: The base price rarely tells the full story. Licensing models can vary, making it tricky to compare them. One DAM might charge every named user, another might charge based on user types, a third might not charge based on users at all, but determine costs by storage volume. Capabilities like workflows, brand portals, or rights management can sit in separate modules with their own add-on costs.

Over three years: Licensing usually rises as the population of users grows and new teams, agencies, and partners come on. Estimate your users in Year 3, not just the number you expect to have at launch.

Implementation and configuration

What it is: The work of configuring taxonomy, permissions, and workflows. This can be done by a combination of the vendor, a partner, and your own team.

Why it matters: Implementation is usually the biggest one-time cost. Along with vendor and partner fees, there’s significant time spent defining requirements, testing configurations and signing off on each phase. Pricing structure matters here, too. A fixed price structure makes launch costs predictable, whereas hourly billing allows scope creep to add up.

Over three years: Naturally the biggest implementation and configuration costs arrive during Year 1. Phased rollouts can spread that out into Years 2 and 3 as new teams join, which lowers risks and lets early results inform later phases.

In practice: A phased rollout can serve as a proof of concept before committing to a more widespread implementation. When Wayfair first signed with Orange Logic, DAM access was confined to the creative team. The team automated the time-consuming process of versioning assets, and once leadership saw the faster delivery, the DAM was expanded to more of the organization.

Migration and cleanup

What it is: The big move. Transferring assets, metadata, and rights data to the new platform, plus any cleanup along the way.

Why it matters: Because migration usually involves running the old and new DAM side-by-side as you migrate assets, this stage is often where extra spend can sneak in. To avoid the added costs, check assets for duplicates, inconsistent naming, and other pitfalls that can add time to your platform switch.

Over three years: Year 1 may be where most of the migration happens, but the work is ongoing. New teams and brands bring in legacy content that must be migrated, and even existing archives can uncover a trove of new content that ought to be added to the system.

In practice: Fanatics had a significant asset duplication problem, with separate wholesale and e-commerce versions of the same product image in separate systems. Through an Orange Logic API integration, the team merged the different data sources into one asset within the DAM, cutting down on confusion about which version was the correct one.

Integrations

What it is: Connections between the DAM and other tools your teams use, such your CMS, PIM, or creative applications.

Why it matters: A disconnected DAM creates its own set of problems. In a Forrester study commissioned by Orange Logic, 64% of decision-makers said they had missed opportunities because assets were cut off in siloed systems.

Over three years: The biggest integration costs come upfront, but there can be maintenance costs as apps change or new tools enter your tech stack. Look for prebuilt connectors, which leave most of the upkeep with the vendor rather than you. Also watch for vendors who charge more for API access, cap API calls by tier, or require middleware or separate licenses to connect key systems. These fees will only grow as your DAM does.

At Orange Logic, there are a variety of prebuilt connectors to tools like Adobe Creative Cloud, Getty Images and Salesforce Marketing Cloud. REST APIs, webhooks and SDKs are included in the subscription, so customers and implementation partners can build out connections to the DAM without paying for API access.

In practice: StitchFix used to connect its production system through scripts that needed an engineer to manage them. Its integration between CreativeForce and Orange Logic now sends approved images into the DAM with product details attached, without any help from engineering.

AI usage

What it is: Any AI tool you use within the DAM. It ranges from simpler tools like autotagging, OCR and transcription to content generation and agentic AI that can execute workflows.

Why it matters: AI costs can get out of control quickly if they’re not monitored. If you have a large video archive, adding transcripts can mean additional cost to plan for. If marketing is generating images or expediting workflows with an AI agent, that can also impact your bottom line. Without a clear view into how AI is being used, there’s no way to tell which tasks are worth the cost and what that cost is.

Over three years: AI usage tends to start off small and build up as teams grow to trust automation and apply it to their regular workflows. That acceleration can drive up storage and computing needs, in addition to any AI credits or charges from your DAM vendor.

One solution to this sort of bloat is a platform that offers plenty of visibility into AI usage. Orange Logic includes an AI Dashboard that tracks usage and cost across teams. The system also flags spikes to help organizations avoid expensive surprises. A choice of AI provider also lets you designate lower-cost models for routine work like tagging and premium models for the tasks that need them.

In practice: At Wayfair, basic autotagging and transcription run across all assets, but creating asset variants requires marketing approval. That way no one overuses AI credits to generate dozens of new versions of an asset without sign off.

Storage and delivery

What it is: The cost of storing assets and sending assets to websites, apps, and partners.

Why it matters: Both are major cost drivers. Storage is linked to library size, while delivery tracks how often content is viewed. The latter can result in cost surges when something like a product launch or popular campaign affects traffic.

Over three years: It’s unlikely either of these numbers will go down, especially with the expansion of both video and AI adoption. Consider tiered storage to keep your numbers from growing out of control, or opt for hybrid storage that lets larger files stay where they already live.

For instance, Orange Logic offers Adaptive Storage, which can automatically move assets to cold or archive storage based on set criteria. At the same time, Media Bridge lets you connect the DAM to local NAS and SAN storage, so large files are cataloged in the DAM, even if they don’t live there.

In practice: Wayfair built its DAM on its own storage buckets, using an existing agreement with its cloud storage provider. The control allowed the online retailer to maintain control and keep storage costs down as its library passed 100 million assets.

Administration and governance

What it is: The time spent maintaining taxonomy, managing permissions and tracking rights.

Why it matters: Oftentimes, running a DAM is a one- or two-person operation, so admin tools affect how well a team can operate. At the same time, if routine changes like a new workflow or permissions need engineering or IT, your TCO involves their hours (even if they sit outside your department) or a services bill if you use outside help. And because those teams have other priorities as well, DAM requests sit in a queue, holding up launches and campaigns that depend on them.

Over three years: The bigger the DAM, the bigger the job for the admin team. Even if adoption isn’t where it should be, DAM managers are often picking up the slack by helping teams find what they can’t uncover in the DAM itself.

To ensure the system can adapt to teams’ changing needs, Orange Logic offers separate test and production environments, so admins can try out changes and ensure they work before letting users have access. At the same time, the no-code structure in Orange Logic lets admins make those changes without pulling in IT or paying for adjustments.

In practice: In its previous DAM, Wieden+Kennedy had to call in developers for even basic interface changes. After moving to Orange Logic, the company no longer had to rely on outside third-party developers for routine adjustments. “Moving to Orange Logic delivered immediate cost savings, but the bigger impact is how much more our teams can do independently,” said Sarah Bavier, Senior Digital Asset Manager, Wieden+Kennedy.

Training and support

What it is: Onboarding new users, training existing ones, and ongoing support.

Why it matters: Regardless of how well a DAM runs, you’ll inevitably have new users who need to be brought up to speed. Ask whether user training is included, and whether support extends to your time zone.

Over three years: After initial training, you’ll need to train new users in Years 2 and 3, especially if the DAM expands to additional teams.

Orange Logic offers support 24/7, and education is available for free to users through Orange University, Orange Logic’s education portal.

Indirect costs

What it is: Costs that are difficult to quantify, such as time spent searching for or recreating assets, rights violations, or overlapping tools

Why it matters: While they don’t appear on a typical TCO, the costs add up quietly. The Forrester study found that organizations average eight tasks that are handled in both a DAM and another system. Another 67% have trouble reusing, updating or retiring existing content.

Over three years: Indirect costs should shrink as the DAM consolidates work and makes assets easier to find. If they don’t, it’s an early sign that your platform may not be working out for you.

In practice: With assets spread across internal servers, file-sharing tools, and legacy platforms, Lionsgate’s marketing team wasted time searching for the correct asset in any given situation. Now those versions are consolidated under Orange Logic, ensuring users and partners can find approved assets quickly from one central source of truth.

Exit and replatforming

What it is: Export and offboarding costs if you leave

Why it matters: Before you sign on, check the vendor’s roadmap to avoid having to make another move. At the same time, cover your potential exit by finding out which export formats are supported, whether metadata and version history come with your files and if there are offboarding fees.

Over three years: The cost is nothing until you need to leave. If a platform can’t keep up with your needs, you’ll probably know around Year 3. Be prepared for the offboarding and export costs mentioned above, along with the expense of a second implementation.

How DAM costs change over three years

Take a look at the table below for a quick summary of where and when costs tend to accumulate.

When you compare vendors, consider that costs rise or fall over time just as much as the upfront costs in your evaluation, since they are the part of the TCO that tell you if a DAM platform can grow with you.

Questions to ask DAM vendors about total cost of ownership

Look for answers that are specific and backed by customer examples. Vague answers during an evaluation leave room for surprises after you sign on.

This is just a sample of the type of question that helps determine TCO. See our DAM RFP Guide for more suggestions.

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