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Media Asset Management

Do you need a DAM or a MAM? A practical checklist for growing creative teams

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Key takeaways:

  • For creative teams outgrowing their existing file storage methods, a DAM or a MAM is the next logical step
  • For video- and audio-heavy workflows, and for teams collaborating on media projects in progress, a MAM solution is best
  • DAM solutions are best for teams working mostly with images, documents and finalized assets, not works-in-progress
  • Common pain points that drive DAM or MAM adoption include: scattered files, costly storage, redundant and slow metadata tagging, siloed tools, limited integrations, and systems that don’t scale with growing content libraries

Who this guide is for (and who it’s not)

  • Creative teams managing lots of images, documents, and videos
  • Teams outgrowing folders, shared drives, Dropbox, or a basic DAM
  • People who don’t want to become DAM experts just to do their jobs

This guide walks through the steps of MAM/DAM readiness. You may have just started to notice a problem with your storage or metadata, or perhaps you’ve scaled content production 100x in the last few years, and need an efficient way to manage all of those assets. Perhaps you have an existing media management system that isn’t working and you’re exploring ways to fix it.

This isn’t a vendor comparison. It’s a practical self-check to help you understand whether a DAM is enough to support your creative workflows — or whether you’re starting to need MAM-level capabilities.

DAM vs MAM: A quick refresher

In short: 

  • Use a DAM to organize, find, share brand assets
  • Use a MAM to manage large media, workflows, reviews, and approvals
  • Many teams start with DAM needs and slowly develop MAM problems

A Digital Asset Management (DAM) system is a repository for approved brand assets, such as images, graphics, documents, and finished media, serving as the single source of truth for an organization's finished content.

Core features of a DAM include centralized asset management, metadata tagging, brand compliance, version control, and integrations with publishing platforms.

A Media Asset Management system manages complex media assets such as large audio and visual files, projects currently in production or post-production, and 

Core features of a MAM include asset management for high-res files and codecs, proxy workflows for editing and review, automated storage tiering and archival, transcoding, metadata management, and integrations with production and post-production tools. 

DAMs and MAMs share many core capabilities—storage, metadata, search, security, and access control. However, where a MAM can handle all the functionality of a DAM, the reverse is not true. Some DAMs handle basic video management, but MAMs can handle diverse video workflows at scale, including live collaboration throughout the content lifecycle, from ingest through delivery. 

To explore the differences between DAM and MAM in depth, read our blog post on DAM vs. MAM and how AI is redefining media management

The DAM/MAM readiness checklist

1: Are your files starting to live everywhere?

Common signals:

  • Multiple cloud drives, local drives, and NAS or SAN systems
  • Re-uploading the same file to different tools
  • Paying more for storage every year, but still struggling to find what you need

When assets are spread across systems, teams lose time switching between tools, re-creating files, or second-guessing which version is correct.

What this usually means:
If your assets are scattered, you’re likely outgrowing “single-location” thinking — an early sign that basic storage (or a very lightweight DAM) won’t scale with your team.

2: Are you spending too much time on manual cleanup and tagging?

If managing your assets feels like busywork, that’s not a people problem — it’s a systems problem.

Ask yourself:

  • Do people manually enter tags, titles, or descriptions every time they upload a file?
  • Are naming conventions inconsistent across teams or projects?
  • Do assets go untagged because “we’ll do it later” (and later never comes)?
  • Does finding the right file depend on who uploaded it?

For small libraries, manual organization might be manageable. But as soon as your asset count grows — especially with images, documents, and video — this approach starts to break down.

What usually happens next:

  • Metadata becomes inconsistent
  • Search results become unreliable
  • Teams stop trusting the system and work around it

This is often the moment when teams realize they need automation — not just better discipline. More advanced DAMs and MAMs use AI to automatically extract metadata, generate previews, and make assets searchable without relying on manual input.

If keeping your library usable depends on constant human effort, you’re likely outgrowing basic asset management.

3: Is feedback and approval slowing projects down?

Common signals:

  • Feedback scattered across email, Slack, docs, and screenshots
  • Regular “Which version is final?” conversations
  • Lost context around why changes were requested or approved

When review and approval happen outside your asset system, delays and confusion become inevitable.

This is often where the difference between DAM and MAM becomes clear. DAMs handle storage and access well, but MAMs are designed to support in-context review, time-based feedback, version history, and structured approval workflows — especially for video and audio projects.

If collaboration friction is slowing delivery, you may need more than a repository.

4: Do your tools feel disconnected from each other?

Common signals:

  • Constantly switching between creative tools and asset libraries
  • Manual handoffs between systems
    No automation when something is approved, finalized, or published

As workflows mature, teams stop asking, “Where do we store files?” and start asking, “How does work move?”

At this stage, integrations and automation matter more than raw storage. Systems that connect directly with creative, production, and business tools reduce friction and prevent work from stalling between steps.

5: Will this system still work when your library is 10× bigger?

Common signals:

  • Search slows down as your library grows
  • People hesitate to upload large or high-resolution files
  • Fear of painful migrations or vendor lock-in

Growth exposes weaknesses quickly. A system that works at 10 terabytes may struggle at 100 — especially with video and audio.

Future-proofing doesn’t have to mean “enterprise complexity,” but it does mean thinking ahead about scale, performance, and flexibility before growth forces your hand.

Do you just need a DAM, or is your team ready for a MAM?

Here’s a simple way to think about it:

  • If most of your pain is organization, access, and brand control, a DAM may be enough
  • If your pain centers on workflow, video, collaboration, and scale, you’re likely drifting into MAM territory

Many teams don’t realize they’ve crossed that line until work slows down, costs rise, or collaboration becomes harder than it should be.

Want to run this evaluation with your team?

The checklist above helps you spot the warning signs.

Our downloadable DAM & MAM evaluation checklist goes deeper — with:

  • A printable, shareable format
  • Side-by-side criteria you can review internally
  • Detailed questions for storage, workflows, automation, and scale

It’s a useful resource for creative leads, operations teams, and anyone involved in tool selection.

Download the full DAM & MAM checklist here.

Download this report as a PDF
Melanie Broder
Lead Writer

Melanie Broder Bashaw is the Lead Writer at Backlight. She has over ten years of experience in SaaS content marketing and has written for brands such as Wistia, MongoDB, WhatsApp, Padlet and Slite. Her creative writing has been published by the Common and Public Books. She has an MFA in writing from Columbia University and is based in Los Angeles.

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