Mastering Challenges for Marketers in DXP

Enterprise marketers are working in a harder environment than most plans admit. You’re expected to deliver relevant experiences across web, email, paid media, mobile, and internal sales channels, while the systems behind those experiences rarely agree with each other. Customer expectations keep rising. Reporting gets murkier. Compliance reviews take longer. Teams still have to ship.

That mix creates some of the most persistent challenges for marketers in 2026. The work isn’t just creative anymore. It’s architectural. A campaign can fail because the audience logic is wrong, because consent data didn’t sync, because the CMS workflow blocked publishing, or because the analytics stack can’t reconcile what happened across channels.

The numbers show how severe the strain has become. Between 2020 and 2024, the average rows of data returned per query grew by 230%, and the average query count increased by 50%, which means marketers are analyzing 100% more information for each data point. At the same time, 56% of marketers don’t have enough time to analyze their data properly, 38% lack tools to integrate and report on their data, and 26% don’t have enough quality data to make decisions, according to the Supermetrics marketing data report.

This is why the right DXP matters. Sitecore’s product portfolio is especially relevant here because it connects content, search, experimentation, personalization, and AI-assisted decisioning in one operating model. SharePoint also plays an important role, particularly when enterprise teams need controlled collaboration, document governance, intranet publishing, and cross-department workflow discipline behind the customer-facing layer.

The answer isn’t to chase every new tool. It’s to build a practical system that lets marketing, IT, analytics, and content teams work from the same truth. The ten issues below show where that system usually breaks, what the trade-offs look like, and how teams can fix them with stronger DXP architecture, clearer governance, and better execution.

1. Personalization at Scale Across Multiple Touchpoints

Personalization usually breaks long before the AI layer does. It breaks in audience definitions, inconsistent content models, weak taxonomy, and disconnected decisioning rules across channels.

A retail brand might personalize the homepage, then send a generic follow-up email. A financial services team might segment well in paid media, then route every user to the same product page. That’s not a personalization failure in theory. It’s an orchestration failure in practice.

Start with the operating challenge, not the channel.

Sitecore’s stack is strong here because it supports rule-based and AI-assisted experience delivery without forcing teams to rebuild every workflow from scratch. In real projects, the win usually comes from combining Sitecore content structure with audience signals and experimentation, not from turning on every AI feature at once. If you need a practical grounding in the concept, this overview of what is personalization is a useful starting point.

What works in real implementations

The best teams limit early use cases. They pick a handful of high-intent journeys such as product discovery, account onboarding, repeat purchase, or service renewal. Then they define:

• Audience triggers: What behavior qualifies someone for a personalized experience.
• Content variants: Which messages, components, or offers change.
• Fallback logic: What appears when profile data is missing.
• Measurement rules: Which outcomes matter beyond surface engagement.

That last point matters because many teams overbuild logic before they validate whether personalization improves the journey.

Practical rule: Personalize the decision points that affect progression, not every piece of page chrome.

Sitecore Search, Sitecore Personalize, and Sitecore’s AI capabilities can support product recommendations, content ranking, and next-best experience logic. But the content model has to support reuse across web, mobile, and campaign destinations. If content authors still create one-off hero banners for every segment, scale disappears fast.

A short product walkthrough helps illustrate the direction of travel:

The trade-off is simple. The more granular your personalization becomes, the more governance you need. Without shared segment definitions and reusable components, “personalization” turns into content sprawl.

2. Data Integration and Unification Across Silos

Most enterprise marketing problems are integration problems wearing different clothes.

A campaign team says lead quality is inconsistent. E-commerce says customer profiles are incomplete. Regional teams say reporting doesn’t match headquarters. Usually the underlying issue is the same. Core data lives in different platforms, each with its own schema, owner, refresh schedule, and political territory.

The execution impact is well documented. Marketers face difficulties integrating data from multiple sources because formats, standards, and quality levels differ, and different teams often own different platforms with conflicting priorities. The challenge is intensified by real-time demands, and 38% of marketing leaders cite real-time decision-making as a top challenge in executing data-driven strategy, according to MarketingProfs on data-driven marketing execution challenges.

What unified data actually requires

A unified customer view doesn’t come from buying one more dashboard. It comes from decisions about identity, integration order, and governance.

For Sitecore environments, that often means prioritizing the systems that directly influence experience delivery first. Commerce, CRM, consent data, product data, and behavioral event streams usually matter more than trying to connect everything in phase one. In composable builds, teams also need middleware or iPaaS layers that can normalize records before the DXP consumes them.

An API-first architecture proves helpful. Sitecore’s composable approach can work well if the implementation team is disciplined about contracts, event flows, and ownership boundaries. SharePoint can support the internal side of this by holding governed documentation, integration runbooks, operating procedures, and cross-team approval workflows. It’s not the customer data hub, but it can be the operational control layer that stops integration programs from drifting.

For teams mapping the problem space, these customer data integration solutions show the kinds of architectural choices that matter.

Unified data is rarely blocked by one missing connector. It’s blocked by unresolved ownership.

A practical sequence works better than a grand unification project:

• Audit critical systems: List source systems, owners, fields, refresh timing, and downstream dependencies.
• Define canonical records: Decide which platform is trusted for identity, consent, transaction, and product truth.
• Normalize before activation: Clean and transform records before they drive personalization or reporting.
• Monitor integration health: Track failures, duplicates, stale records, and schema drift continuously.

What doesn’t work is trying to merge every legacy source at once. That usually creates a slower, more fragile version of the same problem.

3. Attribution and ROI Measurement Complexity

Attribution gets political the moment budgets tighten.

Paid media claims one version of success. CRM reports another. Finance trusts neither. Marketing leadership then tries to explain why platform-reported conversions don’t match actual business outcomes.

That disconnect is getting worse. As privacy restrictions increase and reporting remains fragmented across platforms, attribution has become one of the hardest challenges for marketers. In one example, Meta might report 80 conversions, Google Ads reports 65, and actual sales data shows 140 purchases because each platform only sees part of the journey. At the same time, 66% of marketers worry about tracking users across channels, 57% expect less effective targeted advertising, and 57% predict more difficulty in attribution and measuring effectiveness, according to Measured’s analysis of marketing leadership challenges.

What good measurement looks like now

The old habit is to ask which attribution model is right. The better question is which measurement approach fits the decision you need to make.

If the team is optimizing creative or channel mix inside a short buying window, directional attribution can still help. If leadership wants to know whether a multi-channel program created net new demand, incrementality matters more. For enterprise brands running Sitecore-powered experiences across regions, this often means connecting content interaction data with sales and operational data outside ad platforms.

That’s why serious teams increasingly pair attribution with experimentation and broader modeling. The how to measure marketing ROI discussion is useful when you need to separate reporting convenience from financial reality. For DXP teams, internal content engagement and journey progression metrics should feed that picture, not sit in a separate reporting silo. This guide to measuring digital marketing effectiveness is relevant when you’re trying to connect experience delivery with business outcomes.

Better habits for enterprise teams

• Use more than one lens: Platform attribution, CRM outcomes, and experiment results answer different questions.
• Set definitions before launch: Lock conversion logic, campaign taxonomy, and reporting windows early.
• Connect to business systems: Revenue, renewals, pipeline stages, or order records must anchor the final readout.
• Test incrementality: Especially for omnichannel programs, run holdouts or structured experiments where possible.

What doesn’t work is asking ad platforms to act as the system of record. They can’t. They were never built for that job.

4. Content Management and Governance at Enterprise Scale

Enterprise content teams don’t usually fail because they can’t create enough content. They fail because they can’t control it.

A multinational organization might run dozens of sites, multiple languages, regulated product pages, campaign microsites, and regional publishing teams. If content models are inconsistent and approval paths are loose, brand quality drops first. Compliance risk follows.

Governance is a delivery capability

Governance sounds administrative until a legal update misses one market, an outdated brochure stays live, or an accessibility issue appears on a public-sector service page. Then it becomes a board-level concern.

Sitecore earns its place in larger environments. The platform supports structured content, workflow, permissions, publishing controls, multilingual operations, and reusable components that make scale manageable. SharePoint complements that by handling internal policy libraries, editorial documentation, asset review workflows, and collaboration around controlled content processes.

If you’re building a durable operating model, a formal content governance framework is more useful than another editorial calendar.

Good governance gives authors freedom inside rules. Bad governance gives everyone freedom until something breaks.

The practical model

The strongest setups treat governance as product design, not admin overhead. They define:

• Ownership: Who owns each content type, market, and approval stage.
• Templates: Which components are reusable, locked, or optional.
• Review cycles: When regulated, seasonal, and evergreen content must be checked.
• Accessibility controls: How teams catch issues before publication.
• Archiving rules: When outdated assets are retired, redirected, or retained for record purposes.

What works especially well in Sitecore is structured authoring tied to modular components. That gives teams a way to localize content without rebuilding templates every time. It also makes AI-assisted content operations safer because the system has clearer boundaries around where generated or optimized content can appear.

What doesn’t work is relying on tribal knowledge. If your publishing process only works because two senior editors know how to keep it together, it isn’t scalable.

5. Omnichannel Experience Consistency and Orchestration

Customers don’t care which internal team owns the channel they happen to use. They notice when the experience feels joined up, and they notice when it doesn’t.

A common example is a user who clicks a paid social offer, browses a product page, abandons, then gets an irrelevant nurture email and a support message that ignores the original intent. Every team may say it did its job. The customer experiences one broken brand.

The demand for connected execution is clear. An underserved but important measurement angle is that 98% of marketers seek unified cross-channel data access, yet under 30% have it, and 60% still rely on manual assembly, according to Marketing Evolution on modern marketer challenges. That’s one reason omnichannel delivery remains one of the toughest challenges for marketers, especially when privacy constraints and signal loss make identity stitching harder.

Orchestration needs one operating brain

Sitecore is particularly effective when teams use it as the experience coordination layer instead of just a CMS. Sitecore Personalize, Search, and connected customer data services can help teams deliver more coherent journeys across web and adjacent channels. The key is to define journey states that can be recognized and acted on consistently.

For example, a B2B manufacturer can distinguish between anonymous research behavior, known buying-team evaluation, and post-inquiry service engagement. A university can separate prospective student exploration from enrolled student support journeys. A retailer can coordinate browse, cart, service, and loyalty states. Those are useful orchestration models because they reflect user intent, not just channel ownership.

Where teams usually get stuck

• Channel teams optimize locally: Email, paid, and web each improve their own metrics but degrade the overall journey.
• Identity is weak: Devices, consent states, and account records don’t align.
• Triggers collide: Multiple automations fire without central suppression logic.
• Creative consistency slips: Offers, timing, and messaging diverge by platform.

A practical fix is to create a journey orchestration layer with shared suppression rules, central audience definitions, and event priorities. SharePoint can support the governance side by hosting messaging matrices, channel playbooks, service-level workflows, and launch coordination for distributed teams.

What doesn’t work is trying to force every channel into identical creative. Consistency isn’t sameness. It’s coherent intent, timing, and recognition across touchpoints.

6. AI and Machine Learning Integration and Adoption

Teams often do not need more AI features. They need fewer, better-defined use cases.

AI adoption stalls when leadership buys into the promise but skips the groundwork. The model may be capable. The organization often isn’t. Weak data quality, unclear ownership, and poor change management will sink an AI program faster than model performance ever will.

The trust issue is already visible in marketing data itself. According to Adverity’s 2025 survey, 45% of marketing data used for business decisions is incomplete, inaccurate, or out of date, and 43% of CMOs believe less than half of their marketing data can be trusted. In the same survey, 30% of CMOs ranked improving data quality as their top priority, ahead of workflow automation and data democratization, as reported by Demand Gen Report on marketing data quality.

Where Sitecore AI fits best

Sitecore AI is most effective when it improves decisions inside an already-structured experience system. Think content recommendations, search relevance, experimentation support, audience refinement, or content operations assistance. Those use cases align with the platform’s strengths because they sit close to the experience layer and can be governed through existing workflows.

That’s different from trying to build a custom AI ecosystem from scratch. Most marketing teams don’t need that burden. They need AI embedded into content and decision workflows they already run.

Start with one journey where AI can improve relevance or speed, then prove the operating model before expanding.

Adoption patterns that work

• Pick a narrow business problem: Search refinement, next-best content, or content tagging are better starts than “AI transformation.”
• Clean the inputs first: Bad taxonomy, duplicate records, and inconsistent metadata poison outputs.
• Define human review points: Editors, marketers, and product owners still need approval authority.
• Monitor drift and bias: Review recommendations, exclusions, and segment outcomes regularly.

SharePoint also matters here, even if it isn’t the AI decisioning engine. It can hold model governance documentation, approval logs, prompt usage standards, legal review records, and internal training materials. That becomes important once AI moves from experimentation into production.

What doesn’t work is treating AI like a shortcut around content strategy or data discipline. It amplifies strengths, but it also amplifies disorder.

7. Marketing and IT Alignment and Communication

Some of the biggest delays in digital delivery have nothing to do with code or creative. They happen because marketing and IT start from different definitions of urgency.

Marketing wants speed, testing, and more direct control over experience changes. IT wants security, resilience, maintainability, and architectural sanity. Both are right. Problems start when neither side sees the other’s constraints as legitimate.

Misalignment gets expensive fast

A Sitecore implementation is a good example. Marketing may want rapid landing page creation, personalization, campaign integrations, and analytics visibility. IT may be focused on identity management, performance, cloud hosting, deployment pipelines, and vendor risk. If those tracks only meet at approval gates, the project slows down and trust erodes.

The practical fix isn’t another escalation process. It’s a shared operating model.

That model usually includes a cross-functional steering group, shared backlog grooming, clear ownership for platform features, and agreed service levels for changes. In mature organizations, marketing doesn’t throw requests over the wall. Product owners, solution architects, analysts, and content leads shape requirements together before development starts.

What better collaboration looks like

• Shared KPIs: Teams need common success measures tied to business outcomes and platform health.
• Agreed release rules: Everyone should know what qualifies for rapid release, scheduled release, or architectural review.
• Common language: Business requirements should map to technical acceptance criteria and vice versa.
• Transparent support models: Teams need clarity on who handles incidents, enhancements, and platform debt.

In Sitecore programs, this matters even more because personalization, search, content operations, and integration work cross team boundaries by design. SharePoint can support the collaboration layer well through internal knowledge hubs, requirements libraries, governance artifacts, and process documentation.

What doesn’t work is giving marketing tools without support boundaries or giving IT full control without business context. Either extreme produces friction. The best setups create freedom inside a clear delivery framework.

8. Compliance, Privacy, and Data Security Amid Evolving Regulations

A marketing team launches a personalized campaign across regions, then finds out consent states are inconsistent, retention rules conflict, and audience data has been shared more broadly than policy allows. At that point, the issue is no longer legal review. It is campaign risk, reporting risk, and trust risk.

Compliance now covers two connected responsibilities. Teams have to govern how customer data is collected, stored, activated, and deleted, and they also have to make sure digital experiences are accessible to the people expected to use them. Treating privacy, security, and accessibility as separate workstreams usually creates gaps between policy and execution.

Capability gaps make that harder. Gartner has reported for years that organizations use only a fraction of the martech they buy, and that underuse becomes expensive in regulated environments because unused or poorly configured features often include permissions, retention controls, audit settings, and consent-related logic that never get implemented.

Build compliance into the operating model

In Sitecore, compliance has to be designed into forms, profile capture, analytics configuration, personalization rules, and system integrations. Consent status should determine what data enters the platform, what can be used for segmentation, and what must be excluded from activation or reporting. That is a design decision, not a cleanup task.

SharePoint plays a different but equally important role. It gives teams a governed place for policies, approval records, retention schedules, process documentation, and evidence for audits. In healthcare, financial services, education, and public sector environments, that documentation layer often decides whether the organization can prove compliance consistently.

Accessibility belongs in the same governance model. Publishing controls should include review steps for inclusive design, content structure, and technical conformance, and teams can use a structured WCAG compliance checklist inside that process rather than treating accessibility as a final QA pass.

Practical controls that reduce exposure

• Map data flows end to end: Document what is collected, where it moves, who can access it, and when it should be deleted.
• Set role-based access tightly: Authors, marketers, developers, analysts, and agency partners should have permissions that match their job, not broad default access.
• Connect consent to execution: Preference choices should affect tracking, segmentation, personalization, and downstream exports.
• Govern content and accessibility together: Approval workflows should check regulated claims, privacy language, and accessibility requirements before publication.
• Review connected vendors regularly: Contracts, data processing roles, and system handoffs need periodic review as the stack changes.

The practical framework is straightforward. Define policy in SharePoint, enforce controls in Sitecore and adjacent platforms, then audit both on a fixed cadence. Platforms can support compliance well, but they only work when legal, security, marketing, and platform owners agree on the rules and keep them current.

9. Talent Acquisition and Skill Gaps in Digital Marketing

Hiring for modern digital marketing is harder because the role definitions themselves have changed.

Teams now need people who can work across content operations, analytics, platform configuration, experimentation, automation, privacy, and AI-assisted workflows. Those skills rarely sit neatly in one job title. When companies write a single role that expects strategy, execution, architecture literacy, and hands-on martech operations, hiring slows and retention suffers.

The in-house strain is real. In research covering more than 600 professionals, over 86% reported resource limits in in-house models, 91% of brands had shifted, and one-third cited mismanagement caused by competing priorities and expertise gaps. A separate 2025 survey in the same research angle notes that 17% lack the skills to fully use martech, according to Onward Search on common in-house marketing challenges.

The gap is broader than hiring

This isn’t only about recruiting Sitecore developers or marketing automation specialists. It’s also about operating maturity. Many organizations have enough people to run the tools they already own, but not enough structure to use them well.

That matters a lot in Sitecore and SharePoint estates. Sitecore needs people who understand content modeling, experience design, analytics, personalization logic, and platform governance. SharePoint needs administrators, architects, and content owners who can balance collaboration with control. Without that mix, enterprises end up with expensive platforms running below their potential.

The fastest way to reduce a skill gap is often to narrow the operating model, not widen the hiring brief.

Practical options when capability is thin

• Use specialist partners selectively: Bring in implementation, audit, or support expertise where internal capability is thin.
• Train around workflows, not only tools: Teams learn faster when education follows real publishing, measurement, and optimization tasks.
• Separate strategic and operational roles: Don’t force one person to own roadmap, execution, and architecture quality.
• Document operating standards: Runbooks, taxonomies, and governance models reduce dependence on a few senior people.

What doesn’t work is buying advanced DXP or AI capability and assuming the team will “grow into it” without a plan. Skills rarely catch up on their own.

10. Rapid Technology Evolution and Platform Selection

Platform selection is difficult because most organizations compare features before they define operating requirements.

That leads to predictable mistakes. Teams overvalue demos, undervalue implementation constraints, and confuse vendor breadth with organizational fit. Then they inherit a stack that looks capable on paper but doesn’t match their content model, governance needs, integration reality, or support capacity.

The platform decision is really an operating model decision

Sitecore is a strong fit when organizations need enterprise-grade content control, personalization, search, composable architecture options, multilingual delivery, and room for AI-assisted experience optimization. It’s especially relevant where customer journeys are complex and digital experience is a strategic layer rather than a marketing side project.

SharePoint belongs in the conversation too, though in a different role. It often makes sense as the collaboration, intranet, document management, and internal workflow platform behind broader experience operations. For some organizations, especially in public sector, education, and large corporate environments, SharePoint becomes part of the digital backbone that supports customer-facing delivery elsewhere.

The wrong question is “Which platform is best?” The right question is “Which platform setup lets this organization deliver consistently over time?”

A better way to evaluate options

• Start with use cases: Personalization, multilingual publishing, workflow control, search, integration depth, and SLA needs should guide selection.
• Assess implementation reality: A platform is only as good as the team’s ability to configure, govern, and support it.
• Look at extensibility: API quality, composability, and integration patterns matter more than isolated feature lists.
• Plan for support: Global organizations often need strong maintenance models and round-the-clock operational coverage.

One of the hardest trade-offs is between flexibility and control. Composable architectures can reduce lock-in and increase adaptability, but they also require stronger engineering discipline and governance. More centralized suites can simplify some operations, but only if the organization is willing to align around the platform.

What doesn’t work is selecting a DXP to solve political disagreement. Platform choices don’t fix unclear ownership, weak governance, or poor data practice. They only expose those problems faster.

Top 10 Marketing Challenges Comparison

Your Blueprint for Digital Experience Mastery

The hardest challenges for marketers are no longer isolated campaign problems. They’re connected operating problems. Personalization depends on data quality. Omnichannel consistency depends on integration. AI adoption depends on governance. Attribution depends on architecture as much as analytics. Compliance depends on workflow discipline, not just policy language.

That’s why enterprise teams need to think in systems.

A strong DXP strategy starts by deciding where customer experience decisions should live, how data should move, who owns content quality, and how teams will measure progress. Sitecore is particularly valuable when those decisions need to happen at enterprise scale. Its portfolio gives organizations a serious foundation for structured content, personalization, search, composable experience delivery, and AI-supported optimization. Used well, it helps teams move from disconnected campaigns to orchestrated digital journeys.

SharePoint remains highly relevant too, especially for the parts of marketing operations that many teams overlook. Internal collaboration, document governance, workflow approvals, policy management, knowledge sharing, and controlled publishing support all affect external experience quality. When SharePoint is aligned properly with a broader DXP stack, it helps organizations maintain the internal discipline required for consistent delivery.

The practical lesson across all ten areas is the same. Technology alone won’t rescue a weak operating model. But the right platforms, implemented with clear governance and realistic priorities, can remove a huge amount of friction. Teams can publish faster, personalize more safely, integrate more reliably, and report with more confidence.

If I had to narrow the playbook, I’d focus on five actions.

First, fix the data foundation before expanding activation. Bad inputs make every downstream decision weaker.

Second, simplify the content model. Reusable, governed components scale better than endless custom content production.

Third, treat measurement as a business design problem. Don’t leave ROI questions to ad platforms or isolated dashboards.

Fourth, define clear ownership between marketing, IT, analytics, and legal. Most enterprise slowdowns come from ambiguity, not lack of effort.

Fifth, adopt AI where the platform and process can support it. Sitecore AI is most useful when it enhances existing journeys and workflows rather than trying to replace them wholesale.

For organizations navigating upgrades, cloud migrations, composable architecture decisions, or experience redesigns, outside support can help accelerate the work and reduce avoidable mistakes. Kogifi is one option in that category. The company works with Sitecore AI, Adobe Experience Manager, and SharePoint implementations, upgrades, audits, and support, which is directly relevant for enterprise teams trying to turn digital complexity into a manageable operating model.

The gap between struggling teams and high-performing teams usually isn’t effort. It’s alignment. When the platform, process, and people model fit together, the digital maze becomes much easier to traverse.

If your team is dealing with disconnected data, underused Sitecore capabilities, SharePoint governance issues, or a DXP roadmap that needs clearer direction, talk to Kogifi. A focused audit or implementation plan can help you prioritize the changes that will improve delivery, governance, and measurable marketing performance.