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Digital Product Agencies

Updated September 2026 · Written and maintained by the Progression Agency strategy team

A digital product agency designs and builds working software, which makes it a fundamentally different purchase from a design studio that hands over screens. The evaluation should follow that difference: portfolios show what a firm can make look good, and almost nothing about whether the resulting system can be deployed, monitored, maintained or handed to somebody else. This page sets out what to check about how a firm actually engineers, what the engagement models do to risk, what it costs, and why two quotes for the same brief can differ fivefold.

The short answerThree checks tell you more than any portfolio. Ask whose repository and cloud account the code lives in — the answer should be yours, from the first commit, and anything else is a switching cost with a friendly name. Ask what the estimate assumed, because two quotes for the same brief differ fivefold mainly through different assumptions about scope and different definitions of done. And ask what maintenance costs after launch, since software requires ongoing work and a proposal silent about it has priced a launch rather than a product.

Progression Agency builds websites and web applications from New York City for clients across the United States. We are not a full software engineering firm and do not take native mobile, embedded or platform engineering work. Cost figures here are category-typical US ranges rather than quotes, and no named agency is ranked or assessed, because engagement outcomes are private and unverifiable from outside.

How this category changed
The last row is the practical conclusion. A beautiful portfolio and an undeployable codebase coexist more often than buyers expect, and the questions that separate them are all askable without technical training.
Search demand around this purchase
The third term dwarfs the others, which reflects how most buyers think about this: they believe they are buying software development, and the product management half of the purchase is frequently not considered at all.
What discovery should produce
The last item is the test of whether discovery was genuine. Output that only makes sense to the firm that produced it was written to win the build rather than to answer the question.
Engineering practice checks, and whether the answer should worry you
Row nine is ‘part’ because small teams frequently do test their own work and can do it reasonably. It becomes a problem when it is the only testing that exists and nobody has said so.

Progression Agency builds websites and web applications. We are not a full software engineering firm and do not take on native mobile development, embedded systems or platform engineering; where a project needs those, we say so. This page is about how digital product agencies are evaluated and bought. We are a New York City firm working with clients across the United States, and no named agency is ranked here, because engagement outcomes are private and unverifiable from outside.

What separates the firm types
The last row is the only one that resolves at the end of a project. Everything else is a description of how the work is organized.

What is a digital product agency, and how is it different from a design studio?

A digital product agency designs and builds working software. A design studio produces the designs and hands them over. The difference decides who is accountable when the thing does not work, which is the only question that matters at the end of a project.

Design studios stop at handover

They produce screens, flows and a specification. Everything after that — whether it can be built, whether it performs, whether the edge cases were considered — belongs to somebody else.

Product agencies own the working result

Design and engineering sit in the same team, which means buildability is a design input rather than a discovery made during implementation.

Development shops build what they are given

Excellent when the specification is genuinely complete, and a problem when it is not, because nobody in the arrangement is responsible for noticing.

Staff augmentation is a different purchase entirely

You are renting engineers into your own process. It works when you have the process; it fails when you were hoping to buy one.

Product management is the part frequently missing

Deciding what to build, in what order, and what to cut is a discipline. Its absence is why some projects ship everything and land nothing.

Why the labels are used loosely

Firms describe themselves as whichever term their buyers use, so the word tells you very little. What tells you something is who is on the team and who is accountable for the running software.

Who is actually on a competent product team?

Six roles, and the ones clients forget are the ones whose absence causes the problems: product management, quality assurance and devops.

Product manager or lead

Decides scope and sequence and says no. Without one, the client becomes the product manager by default, which is fine if that is deliberate and expensive if it is not.

Designer

Interaction and interface, including the states nobody asks for — errors, empty, loading, permissions. The proportion of design time spent on those is a good signal of seriousness.

Engineers, front and back

The people who build it. Ask how many, at what seniority, and how much of their week is actually on your project.

Quality assurance

Frequently absent from proposals and frequently the reason a launch slips. Testing performed only by the engineers who wrote the code finds a specific and predictable subset of problems.

Devops or platform

Deployment, environments, monitoring and the ability to release safely. Cheap to skip and expensive to add after launch.

Delivery or account lead

Communication, scheduling and being the person you call. Genuinely useful, and worth checking whether they are billed as a full team member.

How do the engagement models differ, and which risk do you carry?

Six models, and each allocates risk differently between you and the agency. That allocation, not the day rate, is what makes one cheaper than another for your situation.

Fixed price, fixed scope

The agency carries delivery risk and prices for it. Suits genuinely well-defined work and produces change requests for everything else, because it has to.

Time and materials

You carry the risk and get flexibility. Honest, and it requires you to actually manage the engagement rather than receive it.

Fixed-price discovery, then time and materials

The common compromise and usually the right one: a bounded piece of work that produces the information needed to scope the rest.

Dedicated team, monthly

You buy capacity rather than an outcome. Works for continuous product development and is expensive if your requirements are intermittent.

Milestone-based

Payment against defined deliverables. Aligns incentives and requires the milestones to be genuinely verifiable rather than ‘phase two complete’.

Equity or deferred fee

Rare, and it changes the relationship. The agency becomes a stakeholder with opinions about your business, which is either valuable or unwelcome and should be decided in advance.

What does discovery actually produce, and how long should it take?

Two to six weeks, producing a scope, an architecture direction, a prioritized backlog and an honest estimate range. Longer than six weeks usually means the question was not narrow enough.

A defined problem and a defined user

Not a feature list. Who this is for and what changes for them, agreed before anything is designed.

A prioritized scope with an explicit cut line

What is in the first release and what is deliberately not. A backlog with no cut line is a wish list.

An architecture direction

What it is built on and why, including the constraints that decision imposes later. This is where an agency’s honesty is most visible.

A realistic estimate range, with the assumptions stated

A single number without assumptions is a guess presented as a commitment.

A risk register that names the real risks

Third-party integrations, data quality, regulatory constraints and anything the agency has not done before.

A prototype where the interaction is uncertain

Cheaper than building the wrong thing, and the main reason discovery earns its cost.

Something you own regardless of what happens next

Discovery output should be usable by a different agency if you choose one. If it is not, you have bought a sales document.

What should you check about how they engineer?

Eight things, all answerable without being an engineer yourself, because you are assessing whether practices exist rather than judging the code.

Where the code lives, and in whose account

Your repository, your cloud account, from day one. Code held in the agency’s account is a switching cost dressed as convenience.

Whether there are automated tests

Ask what proportion of the codebase is covered and what runs before a deploy. ‘We test manually’ is an answer, and it tells you what maintenance will cost.

How code review works

Whether every change is reviewed by another engineer, and by whom. Its absence predicts the quality problems that surface after launch.

How deployment happens

Automated pipeline or somebody’s laptop. The second is common in small agencies and is a real risk to hand over.

What monitoring and error reporting exist

How you will find out something is broken before a customer tells you. Frequently omitted from fixed-price scopes.

How dependencies and security updates are handled

Who is responsible after launch, and whether that is in the contract or assumed.

What the documentation actually contains

Enough for a different team to run the system: setup, environments, deployment, the decisions that are not obvious from the code.

Whether they will do a handover to another team

Ask directly. A firm that plans for you to leave one day is describing a healthier relationship than one that has not considered it.

What does it cost, and why do quotes vary so much?

From roughly fifty thousand dollars for a genuinely small product to well over a million for complex systems, and the variance is mostly scope clarity rather than rate.

Discovery

Roughly $15,000-$60,000 for two to six weeks. The cheapest way to find out whether the rest is affordable.

A minimum viable product

Commonly $60,000-$250,000 depending on how minimum it genuinely is. Most ‘MVPs’ quoted above that range are not minimum.

A full product build

$250,000-$1,000,000 and beyond, driven by integrations, compliance and how many user types exist.

A dedicated team, monthly

Commonly $30,000-$120,000 a month depending on size and location. Compare on team composition rather than headcount.

Ongoing maintenance and support

Frequently fifteen to twenty-five percent of build cost annually, and almost always omitted from the first conversation.

Why quotes for the same brief differ by five times

Different assumptions about scope, different team seniority, different definitions of ‘done’, and some firms quoting the happy path only. Ask each what they assumed.

The cheapest quote is frequently the most expensive

Because it usually assumes less. Comparing quotes without normalizing the assumptions compares different projects.

What are the warning signs?

Nine, and all are visible before a contract is signed.

A fixed price for an undefined scope

Either the agency has assumed a smaller project than you described, or the change requests are the business model.

No discovery offered at all

A firm willing to estimate a complex build from a conversation is either extremely experienced in exactly your domain or is guessing.

Code in the agency’s repository

Ask on day one. The answer ‘we’ll transfer it at the end’ is a switching cost with a friendly name.

No named engineers

You are buying a team. Names, seniority and allocated days per week should be available before signing.

Testing and QA missing from the estimate

It has not been removed from the project, only from the price, and it reappears as a slipped launch.

Maintenance never mentioned

Software requires ongoing work. A proposal silent on it has priced a launch rather than a product.

An estimate with no assumptions

A number without the assumptions behind it cannot be compared with anything or held to.

Reluctance to describe a failed project

Every firm has one. Being unable to discuss it means either very little experience or very little candour.

Everything is possible

A firm that never pushes back on scope is not exercising judgment, and judgment is most of what you are paying for.

What questions should you ask before signing?

Ten, all answerable in one conversation, and the answers separate an engineering partner from a vendor.

Who specifically is on this team, and for how many days a week?

Names and allocation. The most predictive question in the process.

What did you assume when producing this estimate?

The only way to compare two quotes for the same brief.

Whose repository and cloud account does this live in?

Yours, from the first commit.

What is your testing approach, and what runs before a deploy?

Practices, not adjectives.

How do you handle a change of scope mid-project?

Every project has one. The process matters more than the promise that it will not happen.

What would you tell us not to build?

A firm with product judgment can answer immediately.

What happens if we want to move to another team?

The answer describes the relationship more accurately than the proposal does.

Tell me about a project that went badly and what you changed.

Candour here predicts candour later, when it matters.

What does maintenance cost after launch?

Ask before signing, not at handover.

Who do we call when production breaks at 2am?

And what the arrangement costs, if there is one at all.

How do you know it is going well while it is running?

Working software at short intervals, honest status, and problems raised early rather than discovered late.

Something usable every two weeks

Not a status update — something you can click. Long gaps between demonstrable output are the earliest reliable warning.

Bad news arrives early

Every project hits problems. A team that raises them in week three is functioning; one whose first bad news is in week eleven has been managing you rather than the project.

Estimates get refined, not defended

Learning changes estimates. A team whose estimates never move is not learning anything from building the thing.

The backlog shrinks as well as grows

Scope that only accumulates is scope nobody is managing.

You can see the code and the pipeline

Access to the repository and the deployment process from day one, whether or not you look.

Decisions are written down

Why something was built a particular way, recorded somewhere a future team can find it.

What should happen at handover?

You should be able to run, deploy, monitor and change the software without the agency, and you should test that rather than assume it.

A working environment somebody else can set up

From the documentation alone, by a person who has not worked on it. This is the test that finds the gaps.

Deployment your team can perform

Demonstrated, not described.

Monitoring and alerting in your accounts

Pointing at people who will still be there.

All credentials and third-party accounts transferred

In your name, with the agency’s access removed on a stated date.

Documented architecture decisions

Including the ones that look strange, because those are the ones a new team will otherwise undo.

A known-issues list, honestly written

Every system has one. A handover claiming none is a handover that has not been examined.

A support arrangement, or an explicit end

Whichever it is, it should be written down rather than trailing off.

What capabilities should you actually check for?

Nine, and a firm strong in five of them is normal. What matters is knowing which five, because the gaps become your responsibility whether or not anybody says so.

Product management

Deciding what to build and what to cut. The most commonly absent capability and the one whose absence is least visible until the scope has doubled.

Interaction and interface design

Including every state, not only the happy path. Ask to see a specification that covers error and empty states.

Front-end engineering

The part clients can see, and the part most easily judged by looking at something they have built and using it on a slow connection.

Back-end and data

Where complexity actually lives. Integrations, data models and anything that has to be right the first time.

Infrastructure and deployment

Environments, pipelines, monitoring. Cheap during a build and expensive to add afterwards.

Quality assurance

A distinct discipline from writing the code. Its absence from an estimate does not remove it from the project.

Security

Authentication, authorization, data handling and dependency management. Ask what they do about it rather than whether they think about it.

Accessibility

Frequently absent and increasingly a requirement rather than a preference, particularly for anything public-facing or publicly funded.

Handover and documentation

The capability that determines whether you own the result. It is a skill, and firms differ in it enormously.

What does a realistic timeline look like?

Discovery in weeks, a first usable release in months, and a full build measured in quarters. The common failure is compressing discovery to reach a launch date that then slips anyway.

Discovery: two to six weeks

Long enough to understand the problem, short enough not to become the engagement.

Design and technical planning: two to six weeks

Frequently overlapping discovery rather than following it.

First usable increment: six to twelve weeks from start

Something you can click, not a status report. The single most reliable health indicator.

Minimum viable release: three to six months

For a genuinely minimum scope. Most projects described as MVPs are larger than this.

Full first version: six to twelve months

Multiple user types, integrations and the states nobody scoped.

Stabilization after launch: four to eight weeks

Always needed, rarely scheduled, and the reason so many launches feel chaotic.

Why compressing discovery does not save time

It moves the discovery into the build, where it arrives as change requests and rework at several times the cost.

Reference tables: firm types, models, costs and the questions

Four tables covering what you are actually choosing between, who carries which risk, what the money buys, and the checks that survive a sales conversation.

Engagement models and who carries the risk
Fixed price scores perfectly on predictability and worst on unclear scope, which is the whole trade. Buying it for a project nobody has scoped properly converts every discovery into a change request.
Firm types, and what each is accountable for
Firm typeProducesAccountable forRight when
Design studioDesigns and specificationThe designsYou have engineering already
Digital product agencyWorking softwareThe running systemYou need design and build together
Development shopBuilt software to specBuilding what was specifiedYour specification is genuinely complete
Software development agencyWorking software, engineering-ledDeliveryThe product thinking is yours
Product development agencyProduct and software togetherOutcome and deliveryYou need both decided and built
Staff augmentationEngineers inside your processTheir individual outputYou have the process and lack hands
Freelance teamVaries entirelyWhatever was agreedSmall, well-defined work

The terms software development agency and product development agency are used almost interchangeably in the market, and the third column is where the real distinction sits. Ask which row a firm believes it is in and whether it agrees with your reading of the second and third columns.

Engagement models and who carries which risk
ModelYou carryThey carryFails when
Fixed price, fixed scopeScope definition riskDelivery riskThe scope was never defined
Time and materialsCost riskVery littleNobody manages the engagement
Discovery then T&MModest, at each stageDiscovery accuracyDiscovery becomes a sales exercise
Dedicated teamUtilization riskStaffing continuityYour requirements are intermittent
Milestone-basedDefinition of ‘complete’Hitting milestonesMilestones are not verifiable
Equity or deferredDilutionCash flowExpectations were never aligned

Every row’s fourth column is preventable before signing. Choosing a model without asking which failure mode it carries is how projects arrive at a dispute that both parties could have predicted.

What the money actually buys at each stage
StageTypical rangeWhat you getWhat is not included
Discovery$15,000-$60,000Scope, architecture direction, estimate rangeAny building
Prototype$10,000-$40,000A testable interaction, usually throwawayProduction readiness
MVP build$60,000-$250,000A working, narrow first releaseEverything deliberately cut
Full build$250,000-$1m+Multiple user types, integrations, complianceOngoing maintenance
Dedicated team$30,000-$120,000/moCapacity, not an outcomeA fixed delivery date
Maintenance15-25% of build cost annuallyDependencies, security, small changesNew feature development
MVP development from a specialist$50,000-$180,000Speed and a narrow scopeDepth and long-term architecture

The last row is worth separating because mvp development is sold as its own service by firms specializing in speed. That is a legitimate specialism and it trades architectural durability for time to market, which is the right trade for validating an idea and the wrong one for a system you already know you will scale.

The pre-signing checks, and what a poor answer sounds like
CheckGood answerPoor answer
Whose repository?Yours, from the first commitWe’ll transfer it at the end
What did the estimate assume?A written list of assumptionsIt’s based on experience
Who is on the team?Names, seniority, days per weekOur senior team
What testing exists?Coverage approach and what gates a deployWe test thoroughly
How do you deploy?An automated pipeline, describedOur lead handles releases
What does maintenance cost?A percentage and what it coversWe’ll discuss it later
What would you not build?A specific thing, immediatelyWhatever you need
Tell me about a failureA specific project and what changedWe haven’t had one

The last row is the most reliable single filter across every category of professional services, and it works here because software projects fail often enough that a firm with real volume has examples. ‘We haven’t had one’ means very little experience or very little candour.

Project risks by likelihood and by how early they are visible
The top-right corner is where the preventable failures sit: high likelihood and visible from the start. Both of those — no product owner, and no maintenance plan — are decided before the first line of code.
1 — Your repo, day one. Not transferred at the end..
2 — Ask what was assumed. The only way to compare quotes..
3 — Name the engineers. And their allocated days..
4 — Ask about testing. Practices, not adjectives..
5 — Ask about maintenance. Before signing..
6 — Ask about handover. A firm planning for it is healthier..

Building something on the web rather than a full software product?

We design and build websites and web applications, and we will tell you plainly when what you need is a full engineering firm with mobile and platform capability — which is a different purchase from ours.

Talk to Progression Agency

Video: product, engineering and measurement practice

A general library on marketing, product and analytics. The evaluation material is written out in full above.

Getting found in search

AI, AEO and what is changing

Paid media and lead generation

Websites and design

Choosing and working with an agency

Social, content and brand

By industry and by situation

Frequently asked questions

What does a digital product design firm do that a development agency does not?
It decides what to build before anyone builds it. A digital product design firm runs research, interaction design and validation; a development agency writes the software. Firms that do both exist, and the question to ask is which discipline they were founded on, because that is usually where the depth sits.
What is digital product consulting?
Advisory work on product strategy, roadmap and organization, without necessarily shipping anything. Digital product consulting suits a company that already has engineers and needs direction — the deliverable is a decision, not a release.
When should I hire digital product consultants rather than an agency?
When the team exists but the direction does not. Digital product consultants are the right call for prioritization, roadmap and org questions; an agency is the right call when you need something designed and built. Buying advice when you needed capacity is the common mistake.
Which digital product development agencies suit a first build?
Those that will scope an MVP rather than a platform. Digital product development agencies handling a first build should push you toward the smallest thing that tests the assumption, because most first specs contain features nobody has validated. An agency that quotes the full spec without challenging it is optimizing its own invoice.
What does a digital product company actually deliver?
Research, design, engineering and often ongoing support. A digital product company differs from a design studio in that it ships working software, and from a dev shop in that it decides what to build. Confirm which of the three you are buying before comparing quotes.
How do I choose a digital product development agency?
By how they handle discovery. A digital product development agency worth its fee spends real time on problem definition before estimating, because a fixed price against an undefined problem is a fiction that gets settled later through change orders. Ask what discovery costs and what it produces.
Are digital product companies more expensive than freelancers?
Per hour yes, per outcome often not. Digital product companies carry design, engineering, QA and project management, which a freelancer either lacks or subcontracts. The premium buys continuity — someone else can pick the work up — which matters most on builds longer than a few months.
What should a digital products company own versus what should you?
You own the code, the repositories, the cloud accounts and the design files. A digital products company should be building inside your infrastructure from day one; agreeing that after launch is where handover disputes come from. Put it in the contract before kickoff.
What does a digital product development company charge?
Commonly a hundred to two hundred fifty an hour in the US, or a fixed project fee. A digital product development company quoting a fixed fee has priced its own risk into the number, which is fair; what matters is what happens when the scope changes, so read the change-order terms first.
What is a digital product agency?
A firm that designs and builds working software, with design and engineering in the same team. That makes it different from a design studio, which produces designs and hands them over.
How is it different from a development shop?
A development shop builds what it is given, which is excellent when the specification is complete and a problem when it is not, because nobody in the arrangement is responsible for noticing.
What is staff augmentation, and is it the same thing?
No. It is renting engineers into your own process. It works when you already have the process and fails when you were hoping to buy one.
Who should be on a competent product team?
A product manager, a designer, front and back-end engineers, quality assurance, devops or platform capability, and a delivery lead. The forgotten three are product management, QA and devops.
Why does the absence of QA matter?
Because testing performed only by the engineers who wrote the code finds a specific and predictable subset of problems. QA missing from an estimate has not been removed from the project, only from the price.
What engagement models are available?
Fixed price with fixed scope, time and materials, fixed-price discovery then time and materials, a dedicated monthly team, milestone-based payment, and occasionally equity or deferred fee.
Which model is usually right?
Fixed-price discovery followed by time and materials, for most projects. It bounds the initial spend and produces the information needed to scope the rest honestly.
When is fixed price appropriate?
When the scope is genuinely well defined. Buying it for an unscoped project converts every discovery into a change request, which is not the agency behaving badly — it is the model working as designed.
How long should discovery take?
Two to six weeks. Longer usually means the question was not narrow enough, and the output should be usable by a different agency if you choose one.
What should discovery produce?
A defined problem and user, a prioritized scope with an explicit cut line, an architecture direction, an estimate range with stated assumptions, a risk register, and a prototype where the interaction is uncertain.
Whose repository should the code live in?
Yours, from the first commit, along with the cloud account. ‘We’ll transfer it at the end’ is a switching cost with a friendly name.
What should I ask about testing?
What proportion of the codebase has automated coverage and what runs before a deploy. ‘We test manually’ is a legitimate answer that tells you what maintenance will cost.
Why does deployment matter to a non-technical buyer?
Because an automated pipeline can be handed over and a deployment that happens from one person’s laptop cannot. It is a real risk that is invisible until you try to leave.
What does a digital product build cost?
Roughly $15,000-$60,000 for discovery, $60,000-$250,000 for a genuinely minimum viable product, $250,000-$1,000,000 and beyond for a full build, and $30,000-$120,000 a month for a dedicated team.
Why do quotes for the same brief differ so much?
Different assumptions about scope, different team seniority, different definitions of done, and some firms quoting only the happy path. Ask each what they assumed — it is the only way to compare.
Is the cheapest quote usually the best value?
Rarely. It generally assumes less, which means it is a quote for a smaller project than the one you described, and the difference reappears as change requests.
What does maintenance cost after launch?
Frequently fifteen to twenty-five percent of build cost annually. It is almost always omitted from the first conversation, and a proposal silent on it has priced a launch rather than a product.
What are the clearest warning signs?
A fixed price for an undefined scope, no discovery offered, code in the agency’s repository, no named engineers, QA missing from the estimate, no mention of maintenance, an estimate with no assumptions, and a firm that never pushes back on scope.
How do I know the project is going well while it runs?
Something usable to click every two weeks, bad news arriving early, estimates being refined rather than defended, a backlog that shrinks as well as grows, and decisions written down.
What is the earliest reliable warning sign?
Long gaps between demonstrable working software. A team whose first bad news arrives in week eleven has been managing you rather than the project.
What should handover include?
A working environment somebody else can set up from the documentation, deployment your team performs rather than watches, monitoring in your accounts, all credentials transferred, documented architecture decisions, and an honest known-issues list.
How do I test that handover actually worked?
Have someone who has not worked on the project set it up from the documentation alone. That is the exercise that finds the gaps, and it is worth doing before the agency’s access is removed.
What is a digital product design consultancy?
A firm that designs software products rather than marketing assets — research, interaction design and interface work for applications people use repeatedly. The distinction matters because the skills and the measures of success differ substantially from campaign or brand design.

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  4. Google: LocalBusiness structured data
  5. Google: FAQPage structured data
  6. Google: Article structured data
  7. Google: Product structured data
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  11. Google: sitemaps overview
  12. Google: consolidate duplicate URLs
  13. Google: redirects and Search
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  23. Google Ads: location targeting settings
  24. Google Ads: about negative keywords
  25. Google Ads: about Quality Score
  26. Google Ads: importing offline conversions
  27. Google Ads: about Smart Bidding
  28. Google Ads: about Performance Max
  29. Google Local Services Ads: eligibility and screening
  30. Google Ads: keyword match types
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  105. BMI
  106. SESAC
  107. Global Music Rights
  108. PRS for Music (UK)
  109. PPL (UK)
  110. SOCAN (Canada)
  111. APRA AMCOS (Australia)
  112. GEMA (Germany)
  113. SACEM (France)
  114. SIAE (Italy)
  115. JASRAC (Japan)
  116. IFPI
  117. RIAA
  118. National Music Publishers Association
  119. Harry Fox Agency
  120. SoundExchange
  121. Music Reports
  122. Epidemic Sound
  123. Artlist
  124. Soundstripe
  125. PremiumBeat
  126. AudioJungle
  127. Free Music Archive
  128. Creative Commons
  129. Incompetech
  130. FTC: advertising and marketing
  131. FTC: disclosures 101
  132. FTC: endorsement guides
  133. FTC: consumer reviews rule
  134. FTC: advertising FAQs
  135. US Copyright Office
  136. US Copyright Office: DMCA
  137. US Copyright Office: music FAQ
  138. US Copyright Office: fair use FAQ
  139. USPTO: trademarks
  140. UK Advertising Standards Authority
  141. ACCC (Australia)
  142. Competition Bureau Canada
  143. GDPR overview
  144. California Consumer Privacy Act
  145. COPPA
  146. FTC: children’s privacy
  147. W3C Web Accessibility Initiative
  148. W3C: WCAG
  149. W3C: captions
  150. W3C: making audio and video accessible
  151. ADA.gov
  152. WebAIM
  153. Epilepsy Foundation
  154. Pew Research: internet and technology
  155. DataReportal
  156. US Census Bureau
  157. US Bureau of Labor Statistics
  158. Interactive Advertising Bureau
  159. Think with Google
  160. Google Trends
  161. Nielsen insights
  162. Schema.org: VideoObject
  163. Schema.org: SocialMediaPosting
  164. Schema.org: MusicRecording
  165. Schema.org: HowTo
  166. Schema.org: FAQPage
  167. Schema.org: Organization
  168. Google: video best practices
  169. Google: video structured data
  170. CapCut
  171. Adobe Premiere Rush
  172. DaVinci Resolve
  173. Canva
  174. Descript
  175. VEED
  176. Kapwing
  177. Otter.ai
  178. Later
  179. Buffer
  180. Hootsuite
  181. Sprout Social
  182. Google Analytics
  183. Google Search Console
  184. Google Analytics developer docs
  185. GA4: events and conversions
  186. Matomo
  187. Plausible Analytics
  188. Similarweb
  189. UK Information Commissioner’s Office
  190. Office of the Privacy Commissioner of Canada
  191. Australian OAIC
  192. European Data Protection Board
  193. EU data protection
  194. EU Digital Services Act
  195. Ofcom
  196. FCC
  197. AIGA
  198. Nielsen Norman Group
  199. Smashing Magazine
  200. web.dev
  201. MDN: web media
  202. MDN: the video element
  203. ISO 21001 (reference)
  204. Buma/Stemra (Netherlands)
  205. STIM (Sweden)
  206. Teosto (Finland)
  207. Koda (Denmark)
  208. TONO (Norway)
  209. IMRO (Ireland)
  210. SGAE (Spain)
  211. ZAiKS (Poland)
  212. KOMCA (South Korea)
  213. MCSC (China)
  214. CISAC
  215. World Intellectual Property Organization
  216. TikTok: creating videos
  217. TikTok: exploring videos
  218. TikTok: privacy settings
  219. TikTok: growing your audience
  220. TikTok Creator Academy
  221. TikTok Effect House
  222. TikTok for small business
  223. Instagram: Reels help
  224. YouTube: Shorts best practice
  225. How YouTube recommends
  226. Pinterest Predicts
  227. Snapchat for Business
  228. Hootsuite blog
  229. Social Media Examiner
  230. Marketing Week
  231. Adweek

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