Marketing, creative and communication services: digitalisation opportunities
How to better manage briefs, creative process, content versions, rights, approvals, campaigns, results and project profitability
Digital maturity
medium
Skaitmenizacijos potencialas
92/100
Biggest challenge
Briefs and success criteria are formulated inconsistently
Biggest opportunity
One managed process from brief to measurable business outcome
The greatest results are not created by higher content production volumes, but by a better-managed creative system that helps maintain brand consistency, rapidly test ideas and link the work to the client's business outcomes.
How marketing, creative and communication services work
The business area encompasses services of a different nature, but they are united by the brief, strategy, creative and content production, review, approval, publication, campaign optimisation and results analysis. Value is created through competence, reliable data, consistent execution, quality control and a clear outcome delivered to the client.
The creative process generates many versions
A single solution is adapted across channels, formats, languages and audiences, so version control quickly becomes complex.
Client approval is a critical part of the work
Unclear comments, delayed decisions and multiple approvers directly affect deadlines, scope and margin.
Content rights and usage restrictions must be traceable
The rights to photographs, music, talent, fonts, AI content and other resources may vary by channel, country and period.
Results are difficult to evaluate using communication KPIs alone
Reach or clicks do not always reflect impact on sales, enquiries, awareness or other client objectives.
Market and technology context
Generative AI drastically reduces baseline content creation costs, so competitive value shifts to quality of strategy, distinctive creative direction, brand consistency, content rights control, experimentation discipline and the ability to demonstrate real business impact.
Growth in content volumeChannels, formats, audiences and localisations are multiplying, so manual version and adaptation management no longer scales.
Expansion of generative AIDrafts and variants are created faster, but the need for factual, rights, brand and quality control increases.
Client expectation to see progress and resultsClients expect to see tasks, approvals, campaign status and interpretation of results in one place.
Data and privacy constraintsAudience, advertising and analytics data must be used lawfully, securely and with sufficient reliability.
Pressure on service marginsFaster content production does not mean greater profitability if scope, revisions, adaptations and client changes are not managed.
Typical operating process
01
Client objective and brief qualification
The business objective, audience, message, channels, budget, constraints, approvers and success criteria are defined.
02
Strategy and creative direction
Analysis is conducted, insights, ideas, creative directions and a testing plan are developed.
03
Creative and content production
Copy, designs, video materials, adaptations, translations and technical formats are prepared.
04
Review, rights and approval
Brand, facts, legal aspects, content rights, versions and the client decision are checked.
05
Publishing and campaign management
Content is published across channels, budgets, audiences, experiments and operational exceptions are managed.
06
Results analysis and next action
Data is consolidated, impact, project economics are evaluated and decisions are made on what to continue, change or discontinue.
Digital maturity model
0
Manual and fragmented process
Briefs, files, comments and approvals scattered across email, chats and personal directories.
1
Separate digital tools in use
Project and creative tools are used, but final versions, rights and client decisions are not managed consistently.
2
Core stages digitalised
Creative, publishing or reporting stages are digitalised, but the entire content lifecycle and project economics are not yet connected.
3
Core service scenario connected Typical current situation
One content or campaign scenario is managed from approved brief through to version, rights verification, publishing and outcome.
4
Data-driven service
Creative and campaign activity is managed according to unified flow, quality, reuse, business impact and margin data.
5
Predictable and safely automated activity Siektina
AI safely creates and adapts content, whilst the system optimises production and channels according to clear human approval boundaries.
Key finding
The digitalisation potential for marketing and creative services is very high, as a large proportion of the work is performed digitally and consists of repeating brief, content version, approval, publishing and reporting processes.
The biggest challenge is not a lack of creative tools in use. Briefs, comments, files, rights, campaign plans, results and project economics often remain in separate systems, leading to significant time lost in coordination.
It is advisable to implement the scenario 'One content workflow from brief to approval' first. Only once real-world usage, quality control and economic benefit have been validated is it worthwhile extending the solution to other services, clients or more advanced AI scenarios.
Related digitalisation topics
Creative process managementDigital asset managementClient collaboration portalsMarketing data analyticsManaged generative AI
Problemos
Most common digitalisation challenges
The most significant problems arise when briefs, brand guidelines, audiences, creative assets, content versions, rights, channels, budgets, campaign data and results are not connected to the actual work, quality control, client decisions and service economics.
Briefs and success criteria are formulated inconsistently
Critical
Client objectives, audience, message, formats, approvers and measurement criteria are gathered via email, documents and meetings.
Consequences
The team begins work with differing understanding, leading to increased changes, delays and unbillable scope.
Creative files, brand guidelines and versions are fragmented
Critical
Files are stored in local directories, cloud storage, design tools and client systems without a single source of truth.
Consequences
Outdated elements are used, creative work is duplicated, and finding the right file takes time.
Comments and approvals are managed across too many channels
Critical
Feedback is provided via email, messages, meetings and file comments, whilst approver decisions are not linked to a specific version.
Consequences
It is unclear which comment is valid, repeated corrections increase, and disputes over scope arise.
Content rights and usage restrictions are not reliably tracked
Critical
Licences, author consents, talent rights, usage territories, terms and the origin of AI-generated content are stored separately.
Consequences
Content may be used in the wrong channel or after rights have expired, creating legal and reputational risk.
Content adaptation and recurring production tasks are performed manually
High
The same copy, designs and visual elements are repeatedly adapted for different formats, channels and languages.
Consequences
The team wastes time on mechanical changes, whilst version errors and brand inconsistencies become more frequent.
Campaign data is fragmented across channels and reports
High
Advertising platforms, website, CRM, sales and customer data are combined periodically and with inconsistent rules.
Consequences
The team notices problems too late, whilst channel and campaign comparisons become unreliable.
Campaign results are difficult to link to client business impact
High
Reports are limited to reach, clicks or platform conversions, without regard to sales, enquiries or customer quality.
Consequences
It is difficult for the client to justify the investment, whilst the agency optimises against interim rather than final KPIs.
Project scope and profitability are visible too late
Medium
Briefs, additional formats, rounds of corrections, third-party costs, team time and invoices are not linked in one place.
Consequences
Unbillable work accumulates, whilst profitability issues only become apparent at the end of the project.
Use of AI-generated content is not consistently managed
Medium
Employees use different tools, upload client information and generate content without consistent sourcing, rights, fact-checking or approval rules.
Consequences
Increasing risks of confidentiality breaches, copyright issues, factual errors and brand non-compliance.
Learning from campaigns and creative work does not feed back into other projects
Medium
Hypotheses, test results, audience insights and failed solutions remain trapped in presentations or individual employees' memories.
Consequences
The same experiments are repeated, and organisational knowledge grows more slowly than the volume of data being created.
Opportunities
Greatest digitalisation opportunities
One content workflow from brief to approvalVery high impactTo connect a structured brief, tasks, file versions, comments, final approval, rights verification and publishing status for one recurring content type and multiple clients.Shorter production cycle and fewer non-billable corrections
Brand and creative asset managementVery high impactCentralise valid guidelines, templates, files, metadata, permissions and usage history.More consistent brand and faster content discovery
Automation of content adaptation and publishingVery high impactUse templates, structured content and managed DI for format, language and channel adaptations.Greater production volume with the same team
Content rights and compliance controlHigh impactLink each resource with a licence, usage limits, approval, origin and publication history.Lower legal and reputational risk
Unified campaign and customer data layerVery high impactAlign channel, website, CRM, sales and other results according to unified measurement rules.Faster and more reliable optimisation solutions
Marketing impact on business results measurementHigh impactLink campaign costs and interactions to enquiries, sales, customer quality or other customer objectives.Clearer investment justification and customer retention
Project economics and controlled AI usageHigh impactMeasure volume changes, adjustments, production time, third-party costs and R&D output quality.More accurate margin and safer automation
Biggest opportunity
One managed process from brief to measurable business outcome
Creative files, brand guidelines and versions separated
→
Sprendimo kryptis
Brand and digital asset management system
Centralises guidelines, templates, creative files, metadata, rights, usage history and active versions.
Problema
Content rights and usage limits are not reliably traceable
→
Sprendimo kryptis
Brand and digital asset management system
Centralises guidelines, templates, creative files, metadata, rights, usage history and active versions.
Problema
Content adaptation and recurring production tasks are performed manually
The team wastes time on mechanical changes, whilst version errors and brand inconsistencies become more frequent.
→
Sprendimo kryptis
Brand and digital asset management system
Centralises guidelines, templates, creative files, metadata, rights, usage history and active versions.
Recommended digital solutions
Solutions must integrate briefs, creative versions, comments, rights, publishing, campaign data and project economics, rather than creating yet another file repository.
Centralises guidelines, templates, creative files, metadata, rights, usage history and active versions.
Client creative review and approval portal
Enables the client to comment on a specific version, assign approvers, make decisions and see project status.
Content production and publishing automation platform
Uses templates, structured content and managed AI for format, language and channel adaptations and publishing.
Content rights and compliance management system
Combines file provenance, licences, talent and author consents, usage restrictions, approvals and publishing history.
Marketing data and impact analytics platform
Connects advertising, website, CRM, sales and other data into unified KPIs, experiments and business impact analysis.
Project profitability and capacity management platform
Links contractual scope, employee time, revision rounds, third-party costs, invoices and team capacity.
Managed creative knowledge and AI environment
Centralises brand knowledge, learning from previous campaigns and sets rules for AI data, sources, rights, fact-checking and review.
When the investment is justified
Investment justified
Briefs and additional requests are regularly scattered across email and messaging apps
The team spends excessive time searching for current creative files and brand guidelines
Client comments contradict each other or are not linked to a specific version
Significant time is spent on format, language and channel adaptations
Content licences and usage terms are managed in spreadsheets or employees' memories
Reports are prepared manually from multiple platforms
Project margins deteriorate due to unmanaged revisions and additional formats
Reikia atsargumo
There is no agreement on who is the final client approver
Brand guidelines and content rights are insufficiently documented
There is an attempt to replace all creative, project and analytics tools in a single step
The primary objective is defined only by higher content volume
No repeating scenario has been selected and no process owner assigned
AI is planned to be used for client data and content without clear security and rights rules
Ideal first version
The first version should be limited to the scenario 'One content workflow from brief to approval' with real pilot users. It must cover the entire journey to an approved outcome, not just an isolated form or integration.
Structured brief and project scope
Fixed objective, audience, formats, channels, deadlines, approvers and revision limits.
Creative tasks and file versions
Each deliverable has a clear version, status, responsible person and deadline.
Client review and approval
Comments are provided on a specific version, and the final decision has a clear approver.
Content rights verification
Before publication, the origin, licence, usage channels, parties and period are verified.
Publication plan and status
Visibility of which content is prepared, approved, scheduled, published or requires action.
Core campaign data integration
Key KPIs are collected automatically according to uniform campaign tagging rules.
Process and project economics KPIs
Revisions, cycle time, automation, labour hours and margin are measured.
Kam pirmiausiaClient Projects and Marketing Team · Agency project managers · Creative, design and content specialists · Media and analytics team · Legal or brand approval responsible persons
What not to include in the first versionAll client and channel support · Replacement of all creative tools · Automatic content publishing without approval · Organisation of all historical files · Complex attribution model · Automatic creative solution selection using AI
Investment Priorities
One content scenario from brief to approvalThe scenario 'Single content scenario from brief to approval' enables measurement of process time, quality and economic outcome with the smallest manageable scope before scaling the solution.
Standardise the brief, project scope and approval rulesDefine mandatory data, approvers, correction limits and success criteria.
Organise creative asset, version and rights managementDefine applicable guidelines, file owners, licences and publishing limitations.
Link campaign data with project economics and business outcomesMeasure not only channel KPIs, but also customer value, labour costs and margin.
Only then expand generative AI and advanced optimisationImplement AI with brand, rights, fact-checking, data security and human review rules.
Key implementation conditions
The brief must define not only the outcome but also the boundaries of the solution
Audience, channels, formats, approvers, number of revisions and measurement criteria need to be clearly defined.
Each version must have a single approval status
Comments and decisions cannot remain separated from the specific file or content version.
Content rights must be verified before publication
Licences, talent consents, channels, territories and deadlines must be structured, not kept in free-form notes.
Campaign measurement rules must be agreed before launch
Conversions, attribution windows, data sources and the core business objective must be clear in advance.
AI cannot be separated from brand and rights management
Rapid generation without approved guidelines, sources and rights verification increases, not reduces, risk.
Recommended implementation sequence
01
Current process and data diagnostics
Establish how briefing, strategy, creative and content production, review, approval, publishing, campaign optimisation and results analysis are carried out today; identify where manual work, waiting time, errors and multiple information versions occur.
Process and responsibility mapping
Systems and integration mapping
Master data owners
List of common exceptions
Baseline KPI values
02
First scenario scope
Define the users, scope, data, integrations, control rules and pilot success criteria for the 'Single content scenario from brief to approval' scenario.
Target users and pilot clients
Functional and integration boundaries
Data and rules preparation plan
Security and quality controls
Pilot success criteria
03
Single content process creation
Create a working 'Single content scenario from brief to approval' scenario with core statuses, integrations, approvals, exception handling and selected KPIs.
Structured brief and project scope
Creative tasks and file versions
Client review and approval
Content rights verification
Publishing schedule and status
Core campaign data integration
04
Pilot usage
Test the scenario 'One content scenario from brief to approval' in real work, eliminate the most common exceptions and compare the result with the baseline situation.
User and client onboarding
Usage and error monitoring
Exception and incident workflow
KPI comparison with baseline situation
Refined development plan
05
Expansion and advanced automation
Expand the proven marketing, creative and communication service model to other services or clients, and use the accumulated reliable data for analytics, forecasting and safely managed AI.
Development of additional processes and integrations
Centralised performance and profitability analytics
Reuse of knowledge and methodologies
Advanced automation pilots
AI quality, risk and human control rules
Recommended KPIs
Time from approved brief to first versiond.
Measure production process speed.
Average number of revision roundsrounds
Evaluate brief and review process quality.
Proportion of work approved at first submission%
Measure creative alignment with expectations.
Proportion of creative assets with comprehensive rights metadata%
Evaluate rights and publishing control.
Proportion of campaigns with agreed business outcome%
Measure measurement discipline.
Proportion of unbilled additional work% of work time
Monitor scope and revision control.
Gross margin by client or project%
Evaluate service economic performance.
Key risks
The system accelerates imprecise briefsThe team produces many versions more quickly, but they do not address the client's actual objective.Kaip suvaldyti Confirm problem, audience, message, channels and success criteria before production.
DAM becomes a file graveyardContent is created without metadata, rights, owners and valid versions.Kaip suvaldyti Establish mandatory metadata, archiving rules, responsible persons and usage control.
Clients continue to comment through multiple channelsThe status in the portal does not match the actual solution, and the team duplicates comments.Kaip suvaldyti Agree that final comments and approvals are valid only in one system.
AI generates large amounts of low-quality or legally risky contentGreater volume increases the amount of factual errors, brand inconsistencies and content of unclear origin.Kaip suvaldyti Use approved guidelines, prohibited topics, rights rules, human review and output quality measurement.
Reports appear comprehensive but do not show business impactThe client is presented with many channel KPIs without connection to sales, enquiries or other objectives.Kaip suvaldyti Before the campaign, agree on the business outcome, data source and baseline comparison.
Inovacijos
More advanced digital innovations
Generative AI is only worth expanding alongside brand rules, content origin and rights control, and human approval.
Already applied in the sector1
Analysis of creative elements and campaign performance
Relevant
Models evaluate which message, format, visual or audience elements are associated with better results.
How it is applied Used to formulate hypotheses and test priorities, not as an automatic substitute for creative decisions.
What value can be created
Faster learning
More precise testing
Better budget utilisation
What is needed for this to work
Quality campaign data
Consistent tagging system
Experimentation discipline
Medium-termCommercial solutions are available
Market expansion2
Brand rules-driven content generation system
Highly urgent
AI creates variations of text, images or formats using approved guidelines, terminology, prohibited topics and examples.
How it is applied Used for high-volume adaptations and drafts reviewed by the responsible creative team.
What value can be created
Faster production
More consistent brand
Fewer mechanical adaptations
What is needed for this to work
Structured guidelines
Permission rules
Human review
Short-term perspectiveCommercial solutions are available
Multi-modal creative asset search
Relevant
The system enables searching for images, videos, audio and text by content, objects, emotion or usage context.
How it is applied Suitable for large creative file libraries and reuse of previous work.
What value can be created
Faster file search
Greater content reuse
Less duplicated creation
What is needed for this to work
DAM and metadata
Content rights
Access control
Short-term perspectiveCommercial solutions are available
Early stage2
Automatic content rights and usage restrictions check
Relevant
The system checks prior to publication whether the file licence, talent rights, channels, countries and time periods permit the planned use.
How it is applied Used for large content libraries and multi-channel publishing.
What value can be created
Lower legal risk
Faster publication
More reliable audit history
What is needed for this to work
Structured rights metadata
Publishing integrations
Exception approval
Medium-termApplied in practice
Testing of synthetic audiences and scenarios
Moderately urgent
AI models help to validate potential reactions, questions and interpretations early, before live research or campaign launch.
How it is applied Suitable for screening ideas and identifying risks, but cannot replace real customer research.
What value can be created
Faster early screening
More variants tested
Earlier identification of reputational risks
What is needed for this to work
Clear audience context
Comparison of real research
Human interpretation
Medium-termApplied in practice
D.U.K.
Frequently asked questions
Where to start with digitalisation of marketing, creative or communications services?
Select one frequently recurring content or campaign scenario and connect the brief, tasks, file versions, comments, approval, rights, publication and performance measurement.
Are project management systems sufficient?
Most often not. It can manage tasks, but the creative process requires file versions, reviews, approvers, brand guidelines, rights and connection to publication and campaign results.
When is a digital asset management system (DAM) needed?
When a company manages many creative files, brands, channels, markets and licences, and searching for the right file, valid version or usage rights takes time.
What should the first version of the project be?
One content or campaign process for selected clients: brief, tasks, versions, comments, approval, rights check, publication status and key results.
How to assess project return on investment?
Measure time to first version, rounds of revisions, first approval rate, file search time, content reuse, manual reporting, unbilled work and margin.
How to use generative AI safely?
Use approved brand guidelines, avoid unauthorised customer data, verify facts and rights, show provenance, and final content must be reviewed by a responsible person.
Next step
An assessment of where the most time and project margin are lost in the creative and campaign process
A review of briefs, creative versions, comments, approvals, content rights, publication, campaign data and project economics to help select one first stage whose benefits can be clearly measured.