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A practical guide for CMOs evaluating their next marketing automation platform

FAQ

What the guide covers

This guide brings together the most important questions organisations (should) ask when evaluating a marketing automation platform. It covers everything from business impact and scalability to compliance, AI, and return on investment.

Use it to benchmark your current setup, identify gaps, and understand what to prioritise when choosing a new marketing automation solution.

1. Driving business impact with marketing automation

To realise the full potential of marketing automation, it must be understood as more than a tool for executing campaigns. When used strategically, it becomes a driver of operational efficiency, customer relevance, and measurable business impact.

We have gathered a set of guiding questions to help you understand how marketing automation supports growth, improves performance across the customer lifecycle, and contributes to long-term business outcomes.

From a marketing automation perspective, mature organisations are those that have moved beyond basic marketing execution, often with a customer-centric strategy, and are operating at scale, with increasing complexity across customers, channels, and markets. 

Typically, mature organisations:

  • Already use marketing automation or similar platforms
  • Manage large volumes of customer or member data
  • Operate across multiple channels, markets, brands, or product lines
  • Focus on lifecycle value, retention, and long-term customer relationships – not just acquisition
  • Face growing demands around data privacy, governance, and compliance
  • Need to balance speed, personalisation, and operational efficiency

In these organisations, the challenge is rarely whether to automate marketing but how to do it in a way that scales, remains compliant, and delivers measurable business impact.

For mature organisations, the value of marketing automation is less about doing more, and more about handling growing demands without increasing complexity or workload. Customers expect relevant communication across touchpoints, timely responses to behaviour, and consistent experiences. Marketing automation delivers its strongest benefits by addressing this challenge in four key ways:

Scaling relevance without scaling effort

As expectations rise, marketing teams are asked to deliver more personalised communication, more frequent touchpoints, and faster reactions to customer behaviour. Marketing automation makes it possible to meet these expectations without increasing manual work by turning one-off campaigns into continuous, automated programmes.

Reducing operational strain on teams

Even in a single market, marketing teams often manage multiple channels, audiences and/or segments while continuously optimising and testing their efforts. As this complexity grows, marketing automation helps reduce pressure by standardising processes, reusing content and logic, and removing repetitive tasks, freeing teams to focus on strategy and creativity. With Agillic, you can take this efficiency even further, managing multiple accounts or brands within one intuitive platform to build campaigns, apply brand layouts and orchestrate personalisation seamlessly across every touchpoint.

Increasing speed and consistency

Speed, efficiency, and quality are all critical and marketing automation enables faster execution of campaigns and journeys, consistent messaging across touchpoints, and quicker adjustments based on performance or customer behaviour.

Creating sustainable performance over time

Rather than relying on constant manual execution, marketing automation builds systems that run continuously, improve through learning and optimisation, and deliver value even when teams are not actively “pushing campaigns”.

Marketing automation creates business impact when it shifts marketing from only broadcasting campaigns to managing customer behaviour and value over time. In mature organisations, the most measurable impact comes from three places:

Lifecycle management instead of one-offs

The biggest financial gains typically happen across lifecycle moments that compound:

  • Onboarding and activation (reducing “time-to-value” for new customers)
  • Repeat purchase and cross-sell (increasing basket and frequency)
  • Churn prevention and win-back (protecting lifetime value)
  • Service-to-marketing flows (turning service events into retention moments)

Better optimisation of marketing pressure

Automation allows you to manage “who gets what, when” across the entire programme. This means that you can:

  • Reduce irrelevant messaging (less fatigue, fewer unsubscribes)
  • Prioritise messages that move the needle (retention, upsell, renewal)
  • Suppress communications when customers are already converting or at risk of overload

This becomes measurable in engagement quality, churn reduction, conversion efficiency, and fewer wasted impressions.

A feedback loop for continuous improvement

Marketing automation can create a measurable optimisation loop when you connect: customer behaviour → triggers → message → outcome → learning → next action. This turns marketing into a system that improves continuously rather than a series of disconnected initiatives.

What this looks like in KPIs: uplift in retention, repeat purchase rate, conversion rate, cost-to-serve, time-to-launch, and customer lifetime value – plus reduced reliance on paid channels due to stronger owned-channel performance.

True omnichannel means the customer experiences your brand as one conversation, not multiple disconnected channel efforts. Marketing automation supports this when it can coordinate:

Shared context across channels

A customer’s behaviour in one channel changes what they receive in another:

  • Website/app behaviour influences email and push
  • Purchase or subscription changes suppress acquisition messaging
  • Service events trigger retention or reassurance flows

Without shared context, customers may receive conflicting messages – one of the biggest drivers of churn and loss of trust.

Orchestration: sequencing and prioritisation

Omnichannel maturity is not about adding channels but about controlling:

  • Timing (when to communicate)
  • Frequency (how often)
  • Hierarchy (which message matters most right now)
  • Channel choice (where it should land)

Automation platforms that do this well allow you to manage “marketing pressure” across channels and markets.

Dynamic content across touchpoints

True omnichannel personalisation usually depends on:

  • Reusable content blocks
  • Rules-based or AI-assisted variants
  • Localisation and language support

So that “one idea” becomes many contextual versions without huge manual effort.

Real-time reaction to customer intent

Omnichannel systems should respond quickly to intent signals:

  • Browse behaviour
  • Cart or form abandonment
  • Content consumption
  • Product usage patterns

The more real-time the response, the more “human” and relevant the experience feels.

Marketing automation delivers the strongest value where three conditions are true:

Customers have a lifecycle (not just one transaction)

  • Subscription and membership (media, fitness, utilities)
  • Financial services and insurance (renewals, cross-sell, trust journeys)
  • Retail and e-commerce (repeat purchase, loyalty, replenishment)
  • Travel and hospitality (intent, seasonality, loyalty)
  • Nonprofits and associations (donor/member retention)

If lifetime value matters, marketing automation is a core engine — not a nice-to-have.

You have meaningful first-party data

The more first-party data you have, the more automation becomes a competitive advantage in order to activate that data:

  • Transactional history
  • Behavioural and engagement data
  • Preferences and consent
  • Product usage and service interactions

You operate with complexity

Automation creates outsized impact when you have:

  • Multiple markets and/or languages
  • Multiple brands or segments
  • Many products or offers
  • Many channels and touchpoints

Complexity makes manual marketing expensive — automation turns that cost into leverage.

In short: the best-fit companies use marketing automation not to “send more,” but to manage customer value at scale.

The strongest business case is when you show how marketing automation improves both sides of the equation: reducing resources and increasing revenue.

Operational efficiency (cost and capacity)

Marketing automation reduces cost and increases capacity by:

  • Automating repetitive workflows
  • Enabling reuse of content across channels and markets
  • Reducing dependency on IT and agencies for changes
  • Standardising processes (e.g., better governance, fewer errors)
  • Speeding up testing and iteration

How to frame it: fewer hours per campaign, faster time to market, more output per marketer, fewer handovers, fewer tools.

Revenue growth (conversion, retention, CLV)

Marketing automation grows revenue by:

  • Improving conversion through better timing and relevance
  • Increasing frequency and basket size via personalised next-best actions
  • Reducing churn with proactive intervention
  • Expanding customer lifetime value through lifecycle programs

How to frame it: improved retention and repeat purchase typically outperform acquisition improvements because they compound and cost less.

2. When and how to source a new solution

To stay competitive and aligned with market trends, it is essential to recognise when your organisation needs to change its marketing automation platform. We have gathered a set of guiding questions to help you assess when it may be time to source a new solution, and how to approach the process.

You have likely outgrown your current marketing automation platform when scaling personalisation and orchestration becomes a struggle. Common indicators include heavy reliance on workarounds, rising operational costs due to fragmented data, or limited flexibility when launching new customer journeys.

Typical signs fall into the following categories


Strategic and business alignment

  • Your business goals have evolved beyond segment-based targeting, but your current platform cannot support the shift to personalised 1:1 communication
  • You need to scale across markets or internationally
  • The platform no longer delivers sufficient ROI
  • Reporting, attribution, or insight capabilities are limited
  • Your customer experience vision has matured


Technical or operational inefficiency

  • Manual workarounds are required to execute campaigns
  • Campaign build or approval processes are slow
  • Integration challenges with CRM, data lakes, or analytics tools
  • High dependency on IT or other technical resources – whether internal or external


Compliance, governance, and security concerns

  • Unclear data hosting or ownership
  • Data transfers outside the EU
  • Increased compliance or governance risks


Cost and scalability constraints

  • Licence costs increase disproportionately as you scale
  • Slow time to market
  • Reduced team efficiency


Future readiness

  • The platform cannot scale personalisation beyond basic segments
  • Limitations in the number or type of channels you can orchestrate
  • Lack of support for AI, dynamic content, or modular templates
  • Teams are slowed down by manual workflows instead of automation
  • Held back when planning for new markets, audiences, or touchpoints
  • Competitors are moving faster/delivering more advanced experiences

Organisations typically switch marketing automation platform for these reasons:

Technical reasons

  • Limited personalisation capabilities: Only supports static segments or batch campaigns, not scalable 1:1 communication
  • Scalability limits: Platform cannot support growing audiences, channels, or personalisation complexity
  • Poor data activation: Inability to use structured or behavioural data in real time
  • Channel limitations: Lacks orchestration across key channels like app, SMS, or in-store
  • Workflow inefficiency: Too much manual effort, hard-coded logic, or complex campaign building
  • Lack of flexibility: Rigid templates, limited testing options, or slow time-to-market
  • Integration challenges: Cannot connect easily to CDPs, ecommerce, loyalty, or analytics tools
  • Compliance concerns: Hosting outside the EU or difficulty meeting GDPR and data residency requirements

Commercial and strategic reasons

  • Technology consolidation: Desire to unify marketing efforts under fewer, more efficient platforms
  • Insufficient ROI: High licensing or support costs not justified by performance
  • Team mismatch: Platform built for larger teams or markets; not suited to lean Nordic marketing operations
  • Vendor instability: Forced migrations, sunset features, or roadmap uncertainty
  • Global-to-local misfit: International platforms lacking native-language support or local compliance guarantees
  • Future readiness: Current platform does not support AI, headless content, or advanced personalisation at scale

When evaluating a marketing automation platform, the key is to assess how well the solution supports your organisation’s goals today, and how effectively it can scale as expectations, channels, and data requirements evolve.

An important early consideration is whether the platform fits a best-of-breed approach or a broader marketing suite. Agillic is a best-of-breed marketing automation platform, designed to deliver depth, flexibility, and rapid innovation within marketing automation while integrating seamlessly with the wider tech stack through APIs and connectors. Marketing suites, by contrast, typically prioritise consolidation and breadth, which may involve trade-offs in functionality or agility.

Regardless of platform approach, there are several need-to-have capabilities that are essential for effective marketing automation:

  • Campaign building and orchestration across channels
  • Flow- and trigger-based automation to support lifecycle communication
  • Segmentation and audience management for relevant, dynamic personalisation
  • Testing, analytics, and reporting to measure performance and enable optimisation
  • Technology and infrastructure that ensure scalability, security, compliance, and integration with the wider tech stack

Without these capabilities, marketing automation quickly becomes fragmented and difficult to scale.

Beyond these core requirements, priorities vary by organisation. What counts as “nice-to-have” depends on factors such as business model, audience complexity, internal resources, and growth ambitions. The most important consideration is choosing a platform that meets today’s needs while remaining flexible enough to support future complexity without increasing operational effort.

Replacing an existing marketing automation platform is a high-impact change. Organisations often encounter challenges such as data migration issues, team adoption barriers, and potential disruption to ongoing campaigns. Here’s what you should be aware of before, during, and after the switch:

  • Be clear on your reasons for replacing the current platform: Understand what is not working in your existing system, whether it is usability, scalability, reporting, or integrations, and define clear success criteria for the new platform.
  • Data migration challenges: Migrating data is often the most complex part of the process. Be aware of potential loss of historical data, differences in data models, and the need to clean and normalize data beforehand to maintain accuracy and compliance.
  • Integration with existing systems: Your marketing automation platform interacts with CRM, website/CMS, analytics, ad platforms, and other systems. Map all integrations carefully, including custom ones, to avoid disruption and ensure smooth data flow.
  • Team adoption and training: Underestimating the learning curve can slow adoption and reduce ROI. Plan for hands-on training, involve end users early, and appoint internal champions to drive usage.
  • Cutover timing: Avoid switching during peak campaign periods, product launches, or high-sales quarters to minimize operational disruption. Consider a phased rollout if needed.
  • Total cost of ownership: Look beyond licensing fees. Include implementation, migration, integration, ongoing administration, training, and support costs to get the full picture.
  • Operational continuity: Switching platforms shouldn’t feel like starting from scratch. Ensure processes, workflows, and reporting can be replicated or improved, maintaining operational momentum.

With Agillic, you benefit from expert Nordic support, partner-led implementation, and modular onboarding designed to minimize disruption. Many of our clients migrate within weeks, retaining data integrity while gaining greater agility, efficiency, and compliance.

3. Security, data, and compliance

As data privacy requirements continue to evolve, security and compliance have become critical considerations when evaluating marketing automation platforms. Ensuring trust, governance, and regulatory alignment is no longer just a technical concern, but a strategic responsibility.

The following questions address how to assess data protection, compliance, and risk management when choosing or changing a marketing automation solution.

Marketing automation platforms ensure GDPR compliance by embedding privacy-by-design principles into how customer data is collected, stored, activated, and deleted. This includes secure infrastructure, consent management, role-based access control, and tools to handle subject rights such as access or erasure requests.

Agillic goes further by providing fully audited GDPR compliance, with all customer data processed and stored within the EU. The platform operates on EU-based data centres with encryption at rest and in transit, ensuring sensitive personal data is protected throughout its lifecycle. Privacy-safe tracking and real-time permission handling are built in, supporting transparency and customer trust at every touchpoint.

Agillic’s compliance is independently verified each year through an ISAE 3000 Type II audit report, and its infrastructure is aligned with ISO 27001 standards for information security, giving marketing teams confidence that they can scale personalisation without compromising on privacy.

Data residency determines where your customer data is physically hosted and legally governed. For organisations operating under GDPR, it is essential that personal data remains within the EU to avoid risks associated with international transfers – especially in light of ongoing legal uncertainty around the EU-US Data Privacy Framework.

Agillic ensures 100% EU data residency. All personal data is processed exclusively within European borders and never shared or transferred outside the region. Unlike many competitors who rely on third-party US-based delivery infrastructure, Agillic operates a proprietary send-out system for email, app push, and SMS. This eliminates reliance on non-EU vendors and provides end-to-end control over data handling, message delivery, and compliance.

Choosing a platform with strong data residency guarantees is not only a legal safeguard – it’s a trust signal to customers and a strategic choice for long-term risk mitigation.

Effective consent and permission governance is essential for compliant and trustworthy omnichannel marketing. A marketing automation platform must ensure that a customer’s preferences are respected consistently across all touchpoints, including email, SMS, app, web, and other channels.

With Agillic, customer data, permissions, and consent statuses are managed centrally, giving marketers a real-time and configurable overview of personal data, behavioural history, segmentation, purchase activity, channel preferences, and consent status. This ensures that consent is applied uniformly across all campaigns, journeys, and channels.

Agillic supports flexible data models without technical constraints on the number of data fields or tables, allowing organisations to build advanced personalisation logic while remaining fully within GDPR requirements. Any change to a customer’s consent or permissions is reflected immediately across all active flows, reducing the risk of non-compliant communication and simplifying governance across the entire marketing setup.

Security and compliance are no longer just IT concerns, they are core marketing requirements. When selecting a marketing automation platform, organisations must evaluate whether it supports not only campaign effectiveness, but also lawful and secure handling of customer data.

Key considerations should include

  • EU-based data hosting and full GDPR alignment
  • End-to-end encryption and privacy-safe tracking
  • Tools for managing consent, preferences, and permissions
  • Integrated data governance and CRM functionality
  • Annual independent audits (e.g. ISAE 3000 Type II)
  • ISO 27001-aligned security standards
  • Compliance across the delivery infrastructure, including email, SMS, and app messaging

Agillic is purpose-built to meet these needs. With privacy and security by design, proven regulatory compliance, and full data control within EU borders, it provides the stability and trust required to scale personalised marketing responsibly and securely.

See Security for more information.

4. AI and new technologies

AI is evolving faster than any other technology currently shaping marketing automation. It operates largely behind the scenes, accelerating and enhancing the routines marketers already use. While the pace of innovation is high, the real challenge for organisations is understanding where AI delivers tangible value, and how to adopt it responsibly and effectively.

This section addresses how AI is changing marketing automation, how it can realistically be applied today, and how emerging standards like Model Context Protocol (MCP) help future-proof your platform choice.

AI is fundamentally changing marketing automation by shifting value creation from manual execution to intelligent orchestration. Moving beyond predefined rules and static segmentation, modern marketing automation platforms leverage AI to accelerate value by enabling them to:

  • Adapt communication based on real behaviour and context
  • Optimise timing, content, and channel selection continuously
  • Support decision-making with predictive and pattern-based insights
  • Accelerate content creation and adaptation, helping teams generate, localise, and tailor messages at scale without increasing manual workload

In practice, this means more relevant personalisation, better performance, and less manual effort, especially at scale.

Agillic integrates AI in multiple, practical ways to enhance marketing performance without adding complexity. AI is used both as native capabilities embedded directly within the platform and through integrations with (other best-of-breed) external tools, ensuring flexibility and future readiness. See Q. 4.3 for more details on how AI is integrated into the Agillic platform.

AI already plays a meaningful role across the marketing ecosystem — not by replacing but enabling marketers by automating complexity and accelerating everyday workflows.

Today, AI can realistically support and, at least to some extent, automate the following marketing processes:

  • Content creation and localisation
    AI helps generate, adapt, and localise content at scale — from subject lines and headlines to channel-specific copy and language variants. Agillic’s AI Copywriter and AI Translator continuously support faster campaign production while maintaining brand consistency and quality.
  • Segmentation and predictive insights 
    AI enables more precise audience segmentation based on behaviour, engagement, transactional data, and predictive signals. In Agillic, marketers can work with dynamic segments, enriched with calculated metrics and predictive scores, and analyse performance through detailed, customisable reporting that automatically surfaces key KPIs such as open rate, CTR, and average order value.
  • Send-time and channel optimisation
    Machine learning identifies when individual users are most likely to engage and which channels perform best — improving results without manual testing. AI-powered reporting makes it easy to evaluate performance across segments and continuously optimise timing and delivery.
  • Recommendations and next-best-action logic
    AI supports personalised recommendations and next-best actions by analysing behaviour, preferences, and context — enabling more relevant communication at each stage of the customer journey.
  • Campaign and journey optimisation
    AI helps optimise flows by reacting to real-time events and predictive signals, identifying drop-off points, and suggesting improvements to journey design and sequencing.
  • Consent, preference, and compliance management
    AI assists in adapting messaging strategies based on consent status, preferences, and behaviour — ensuring communication remains compliant, relevant, and respectful.
  • Performance analysis and insight generation
    AI transforms large volumes of campaign and customer data into clear, actionable insights, reducing manual analysis and helping teams focus on optimisation rather than reporting.

Personalisation
AI analyses behavioural signals, preferences, and past interactions to deliver 1:1 messages—at the right time, in the right channel, and with the right content. With Agillic, marketers can scale this level of personalisation using a point-and-click interface, not code. This empowers lean teams to manage intricate campaigns without IT support. Agillic’s content model enables you to personalise across email, SMS, app, and web, using dynamic content blocks, language variants, and AI-optimised product feeds tailored to each user’s profile. This is underpinned by full GDPR compliance, EU-based hosting, and robust consent handling, ensuring sensitive data is treated with care, even at scale.

Optimisation
AI is used to continuously enhance campaign performance with minimal manual effort. Some of Agillic’s optimisation use cases include:

  • Send-time optimisation for higher open and click-through rates
  • Automated subject line testing and content variant performance tracking
  • AI-driven product feed filtering for real-time relevance
  • Channel mix and suppression logic for message fatigue control
  • Flow-level insights to identify drop-off points and optimise journey design
  • Predictive timing for promotions based on historical conversion data
  • Language variant performance reporting across markets

Decision-making
AI segmentation features allow marketers to go beyond static audience lists and build dynamic, predictive segments that adapt in real time. Marketers can define rules based on behaviour, transactional history, engagement patterns, or calculated metrics and let AI identify trends and opportunities within the data. Segmentation can be enhanced with predictive scores, such as likelihood to convert or churn, enabling targeted, proactive engagement.

All segmentation logic is visible and adjustable within the Agillic platform—giving marketers full transparency and control over who receives what, and why. AI thereby simplifies decision-making by transforming complex data into clear, actionable insights. It reduces manual analysis, highlights key patterns and opportunities, and enables marketers to respond faster and more effectively to changing customer behaviour.

One way, Agillic ensures its platform is future-ready and able to work with evolving AI models and technologies, is by supporting Model Context Protocol (MCP). MCP is an emerging standard that enables AI models to securely understand and interact with business systems in context and:

  • Access relevant data and logic without hard-coding integrations understand campaign structure, content models, and customer context
  • Act intelligently across systems while respecting governance and compliance

When assessing AI in a marketing automation platform, CMOs should consider five key factors:

  1. Embedded vs. Add-on AI
    Is AI native to the platform, or bolted on as a separate tool? Native AI (as in Agillic) offers faster performance and lower operational overhead and is therefore usually the recommended choice.
  2. Control and transparency
    Can marketing teams understand and adjust AI outputs? Black-box systems can create risks and missed opportunities.
  3. Use case maturity
     Look for proven AI applications in content, decisioning, and orchestration – not just aspirational features in ‘preview’.
  4. Compliance and sovereignty
     Ensure AI features are compliant with GDPR and that data processing remains within the EU – especially relevant with uncertainty around US data transfers.
  5. Operational efficiency
     Will AI reduce manual work, or add complexity? Seek platforms where AI accelerates personalisation, not just analytics.

For mature organisations, the goal is not more AI – it’s better, more scalable personalisation with less effort. That’s where Agillic stands apart.

5. Integration, implementation, onboarding, and support

The success of a marketing automation platform depends not only on its capabilities, but on how well it integrates into your existing ecosystem and supports and empowers your organisation over time. From implementation and onboarding to ongoing support, these factors play a critical role in adoption and long-term value creation. The questions in this section are designed to help you understand what to expect beyond the software itself.

Agillic integrates seamlessly with your existing technology stack, including CRM, e-commerce, analytics, and customer data platforms. With Agillic, little to no coding is needed. Agillic offers multiple integration from pre-built partner solutions to native connectors and an extensive integration hub with over 1,200 integration endpoints. This means you can activate customer data faster, connect more channels with less effort, and maintain full control of your data within the EU.

  • CRM systems for unified customer data
  • E-commerce and CMS platforms for personalised shopping experiences
  • Analytics tools for tracking and optimisation
  • CDPs and data warehouses for advanced segmentation and predictive insights
  • Recommendation or search engines for AI-driven content and product suggestions
  • Advertising and social media platforms for lookalike audiences and cross-channel remarketing

Implementation time varies depending on data complexity, integrations, and internal readiness. However, with Agillic, most clients go live within weeks, not months. The Agillic platform’s intuitive UI, prebuilt templates, and industry-specific data models accelerate the onboarding process. Solution partners and Agillic’s Client Management team ensure a smooth rollout, from migration and integration to the first personalised campaign.

An implementation plan typically consists of the following stages:

  1. Kick-off: Identifying concrete use cases and KPIs for phase 1
  2. Data workshop: What data model and integration points should be set up, what should be in realtime vs. batch, setting up DNSetc
  3. Content workshop: Setting up templates for web and email according to brand guidelines. Setting up content feeds
  4. Configuration: Agillic Academy training and tailored user-training in how to set up phase 1 use cases including reporting
  5. Test and correct
  6. Publish to live environment and test
  7. Evaluate KPI’s and reporting
  8. Workshop on phase 2, including agreeing on organisational operational models going forward

From onboarding, through implementation, and beyond, you will have access to a comprehensive set of Agillic resources designed to ensure continuous value creation, operational stability, and ongoing enablement.

  • Client Manager (CM): A dedicated Client Manager will be appointed as your primary point of contact at Agillic. The CM is responsible for creating and driving a strategic roadmap with your and your solution partner, and coordinating the right Agillic resources based on your.
  • Technical support: Agillic’s team of product specialists is based in Copenhagen, Denmark, and available through both a standard ticket system and by phone during normal business hours. A dedicated phone support for critical incidents is available 24/7.
  • Expert Services: Conducting best practice workshops, value assessments focused on increasing business value and operational efficiency.
  • E-learning: Access to Agillic’s e-learning platform, providing structured onboarding, role-based learning paths, and continuous upskilling to ensure your team can fully leverage the platform over time.

Switching platforms does not have to be disruptive. The key is to plan the migration in phases, maintaining business continuity while introducing new capabilities. Agillic helps companies minimise disruption by:

  • Using parallel data validation to ensure accuracy before going live
  • Migrating existing logic, templates, and segments directly into Agillic’s UI
  • Leveraging modular onboarding, so teams can start small and scale fast
  • Providing hands-on support and partner collaboration to reduce technical risk

Most clients experience a smooth transition with minimal downtime and quickly gain efficiency and flexibility once live on Agillic

6. Pricing and terms

Marketing automation (MA) platforms are typically priced using a combination of different pricing models. The most common approaches include:

Subscription / license-based pricing

  • A fixed recurring fee, charged monthly or annually
  • Often tiered based on usage levels, company size, or included features

Data-driven pricing

  • Pricing based on the number of customer profiles, contacts, or users stored
  • This may distinguish between active and inactive profiles

Volume-based pricing

  • Cost driven by transactions such as: emails, messages, API calls
  • Or by campaign executions or event volumes

Seat-based pricing

  • Licensing based on users or roles (e.g. marketer, developer, administrator)
  • Typically a supplementary pricing factor rather than the primary driver.

Module / feature-based pricing

  • A core platform price with additional costs for optional modules or advanced features such as AI, personalisation, or advanced analytics.

Contract-based enterprise pricing

  • Custom pricing based on complexity, scale, and service level requirements (SLAs).

In practice, most enterprise marketing automation platforms combine a subscription model with data- and/or volume-based pricing.

Organisations typically switch marketing automation platform for these reasons:

Technical reasons

  • Limited personalisation capabilities: Only supports static segments or batch campaigns, not scalable 1:1 communication
  • Scalability limits: Platform cannot support growing audiences, channels, or personalisation complexity
  • Poor data activation: Inability to use structured or behavioural data in real time
  • Channel limitations: Lacks orchestration across key channels like app, SMS, or in-store
  • Workflow inefficiency: Too much manual effort, hard-coded logic, or complex campaign building
  • Lack of flexibility: Rigid templates, limited testing options, or slow time-to-market
  • Integration challenges: Cannot connect easily to CDPs, ecommerce, loyalty, or analytics tools
  • Compliance concerns: Hosting outside the EU or difficulty meeting GDPR and data residency requirements

Commercial and strategic reasons

  • Technology consolidation: Desire to unify marketing efforts under fewer, more efficient platforms
  • Insufficient ROI: High licensing or support costs not justified by performance
  • Team mismatch: Platform built for larger teams or markets; not suited to lean Nordic marketing operations
  • Vendor instability: Forced migrations, sunset features, or roadmap uncertainty
  • Global-to-local misfit: International platforms lacking native-language support or local compliance guarantees
  • Future readiness: Current platform does not support AI, headless content, or advanced personalisation at scale

Yes, there are clear differences between the two approaches.

Suite solutions (e.g. large CX or CRM suites)

  • Often appear less expensive initially
  • Pricing is distributed across bundled modules
  • Costs increase as required features are activated
  • Risk of paying for unused functionality
  • Potential vendor lock-in over time

Best-of-breed solutions (e.g. specialised MA platforms)

  • Pricing more closely aligned with actual usage and value
  • Greater transparency around cost drivers
  • Designed to scale as needs grow
  • Often lower long-term total cost of ownership (TCO) for focused use cases

Total cost of ownership (TCO) should be evaluated over a 3–5 year period and includes both direct and indirect costs.

Direct costs

  • Platform license or subscription
  • Usage-based fees (profiles, messages, transactions)
  • Add-on modules
  • Support and SLA upgrades

Indirect costs

  • Initial implementation (internal resources and external partners)
  • Data integration and ongoing maintenance
  • Training and onboarding
  • Platform administration

Often underestimated or “hidden” costs

  • Cost of scaling volumes (profiles, campaigns, and data)
  • Performance optimisation and re-engineering
  • Dependency on vendor professional services
  • Cost of exiting or migrating from the platform

A lower license price does not necessarily result in a lower total cost of ownership.

Total cost of ownership (TCO) should be evaluated over a 3–5 year period and includes both direct and indirect costs.

Direct costs

  • Platform license or subscription
  • Usage-based fees (profiles, messages, transactions)
  • Add-on modules
  • Support and SLA upgrades

Indirect costs

  • Initial implementation (internal resources and external partners)
  • Data integration and ongoing maintenance
  • Training and onboarding
  • Platform administration

Often underestimated or “hidden” costs

  • Cost of scaling volumes (profiles, campaigns, and data)
  • Performance optimisation and re-engineering
  • Dependency on vendor professional services
  • Cost of exiting or migrating from the platform

A lower license price does not necessarily result in a lower total cost of ownership.

Agillic applies a subscription-based pricing model, primarily driven by:

  • Number of customer profiles
  • Platform usage and solution complexity
  • Contract length

Pricing is typically agreed on an annual basis and usually includes a minimum annual commitment. As an enterprise-grade platform, multi-year agreements are common and often commercially advantageous.

What is included in the standard package

  • A channel-agnostic marketing automation platform with full functionality
  • Advanced data model and personalisation engine, including AI features for copywriting and language versioning
  • Real-time decisioning
  • Standard API-based integrations
  • Access to Agillic Academy and documentation
  • Standard support level

Price adjustments 

  • Price increases are typically regulated by contract (e.g. CPI-linked or fixed annual increase)
  • Volume-based increases occur when agreed thresholds are exceeded

User roles and licenses

  • No limitation on the number of users or seats
  • Role-based access control (e.g. marketers, technical users, administrators)

Add-ons and optional modules (depending on agreement)

  • Access to more than 2,000 integrations
  • Additional or bespoke support and SLA tiers
  • Extra domains beyond the two standard domains for dedicated staging and production environments

New vs. previous Agillic pricing model

Agillic aims to minimise friction in the customer relationship. In response to changes in the SaaS landscape, an alternative pricing model has been introduced. The newer pricing model is more profile- and value-based, offering:

  • Increased transparency and predictability in cost development
  • Stronger alignment between usage growth and delivered business value

7. ROI

ROI stands for ‘return on investment’, meaning the profit or value generated from an investment. In the context of a marketing automation platform, ROI is typically evaluated by examining how personalisation and automation drive 1) increased revenue, 2) reduced costs, and 3) greater operational efficiency. Here are some questions to consider to define your ROI framework and document improvements.

You can measure ROI in many ways, but many companies measure ROI by linking marketing automation to incremental business value rather than campaign metrics. The key is to compare automated personalised flows against control groups or legacy processes.

Agillic clients measure ROI via:

  • Uplift in conversion, customer lifetime value (CLV), and retention
  • Reduction in churn
  • Increased NPS score and engagement
  • Operational ROI from fewer tools, faster time-to-market, and content reuse

KPIs should reflect both growth and efficiency. Combining marketing KPIs (CTR, open rate, etc.) with business KPIs (revenue per customer, NPS, etc.) it creates a more comprehensive ROI.

  • Top-line growth (revenue uplift, order frequency, average order value)
  • Customer health (CLV, churn rate, subscription renewal rate)
  • Engagement quality (click-through rate, conversion rate, active user ratio)
  • Operational performance (time-to-launch, campaign automation ratio, and cost)

The average time-to-value for switching to Agillic is typically 3-6 months, depending on the complexity of integrations and data readiness. Early ROI often comes from automating retention flows or cross-sell triggers. Full-scale personalisation ROI follows within 12 months, when more channels and segments are connected.

Agillic works with clients across many industries, but we also know that the business impact has potential and applies beyond a single specific industry. Below is a few selected client stories to highlight the typical results achieved with Agillic:

Retail: Higher repeat purchase and revenue through personalisation

  • Fashion market place Miinto generated DKK 137 million in additional revenue through automated, data-driven communication that strengthened relevance and repeat purchase.

Finance: Stronger product adoption and improved customer satisfaction

  • Sydbank achieved up to a 20 % conversion rate on key marketing activities through personalised customer journeys, while also boosting satisfaction scores. This reflects a broader industry trend where relevance and timing in communication directly drive product uptake and long-term customer relationships.

NGO: Increased donations

  • Danish Red Cross achieved a 60% increase in donations via personalised SMS and a 120% increase via email, by delivering messages at the ideal time for each recipient. This case demonstrates how timing and personal relevance can directly translate into measurable fundraising impact.

Media & Publishing: Improved subscription retention and engagement

  • TV 2 Play Norway strengthened personalisation and engagement, resulting in greater relevance and improved retention through tailored recommendations and reminders.

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