MarTech and AdTech Services

Connect your marketing technology, data and advertising measurement.

Disconnected platforms, unreliable tracking and underused tools make it harder to understand performance and make confident decisions. We helps businesses assess their marketing and advertising technology, identify what needs to change and build a set-up that supports their goals.

From simplifying an overcomplicated stack to improving campaign measurement and connecting customer data, the focus stays on solving the problem.

We help businesses solve challenges such as

Too many tools, without a clear purpose – platforms overlap, licences renew, and teams struggle to identify which tools add value and which they can remove.

Customer data spread across systems – making it harder to build a consistent view of customers.

Tracking that no longer tells the full story – website changes, tag failures and consent settings can affect measurement without making the cause immediately obvious.

Conflicting performance reports – advertising platforms, analytics tools and CRM systems report different results, leaving teams unsure which figures to use.

Automation without dependable inputs – campaigns rely on conversion signals and audience data that may be incomplete, inconsistent or incorrectly configured.

Technology that is underused – businesses invest in advanced platforms but lack the setup, processes or skills to get full value from them.

Uncertainty about AI features – new capabilities promise to save time or improve performance, but the practical benefits, limitations and risks are not always clear.

Privacy and consent questions – tracking technologies and data flows need regular review as systems, purposes and regulatory guidance change.

What these problems can cost

When the technology stack doesn’t support the way a business works, the impact extends beyond the platforms themselves.

Teams spend time reconciling reports and moving data manually. Marketing budgets become harder to evaluate. Campaigns may optimise towards the wrong actions, while unused licences and unnecessary integrations add cost without adding value.

Poorly understood tracking can also leave gaps in performance reporting and create privacy concerns. The result is less confidence in the information used to make marketing decisions.

The answer isn’t necessarily another platform. Often, the biggest improvement comes from fixing the current setup, connecting existing systems or simplifying the stack.

How we improve marketing and advertising technology

MarTech Stack Audits and Technology Strategy

Identify overlapping tools, uncover gaps and prioritise the technology that best supports business goals.

– Marketing technology stack audits
– Technology strategy and roadmap development
– Platform evaluation and selection
– Licence, capability and integration reviews
– Recommendations on which tools to retain, improve, replace or retire

Customer Data and Marketing Automation

Connect customer data across platforms, improve integrations and automate marketing processes to help teams work more efficiently.

– Customer Data Platform (CDP) strategy
– CRM and marketing platform integration
– Marketing automation strategy and configuration
– Customer data flows and management
– Workflow improvements and automation opportunities

Tracking, Analytics, and Measurement

Improve tracking and measurement to reveal campaign performance, highlight gaps and support better-informed decisions.

– Analytics and tag management reviews
– Tracking implementation and troubleshooting
– Conversion measurement and event configuration
– Campaign measurement and attribution reviews
– Reporting requirements and performance frameworks
– Server-side tracking assessment and implementation support

Advertising Technology and Campaign Measurement

Strengthen advertising measurement, assess platform capabilities and improve the conversion data that informs campaign optimisation.

– Advertising platform configuration and conversion tracking
– Advertising measurement and attribution
– First-party audience and data strategy
– AdTech vendor evaluation and integration
– Retail media and connected TV measurement
– Programmatic advertising technology consultancy

AI, Automation, and Team Enablement

Find practical uses for AI and automation that streamline workflows, reduce manual effort and help teams get more from their existing tools.

– AI and automation use-case identification
– Technology capability and limitation assessments
– Workflow reviews and automation opportunities
– Training and knowledge transfer
– Documentation and ongoing advisory support

How we work

Understand the business need. The first conversation covers the goals, current challenges, existing systems and decisions the technology needs to support. A finished brief or detailed technical knowledge isn’t required.

Review the current setup. The review maps relevant platforms, integrations, data flows, tracking and working practices. It identifies duplication, configuration issues, gaps and opportunities to simplify.

Set clear priorities. Findings become a practical set of recommendations, ordered by business impact, effort and cost. The plan distinguishes immediate fixes from longer-term improvements and explains where investment may—or may not—be worthwhile.

Support implementation and adoption. Depending on the agreed scope, support may include configuration, troubleshooting, vendor selection, integration planning, collaboration with internal teams or implementation partners, documentation and training.

The approach fits the needs and capabilities of the business, rather than trying to fit every project into the same process.

Typical deliverables often include a technology stack map, findings report, prioritised roadmap, platform comparison, tracking recommendations, integration plan, implementation support, documentation and team training.

The scope, format and timescales are agreed before work begins.

Experience across marketing, data and technology

Our background spans e-commerce, technology, telecommunications, travel, finance and publishing.

MarTech and AdTech FAQs

Does the current technology stack need replacing?

Not necessarily. Some problems stem from configuration, integration, data quality or working practices rather than the platform itself. A review helps identify what to retain, improve, replace or remove.

Can you work with existing platforms and agencies?

The intended approach is to work with the systems and people already involved wherever practical, coordinating recommendations and implementation responsibilities to avoid unnecessary disruption or duplication.

Do you recommend specific vendors?

Recommendations should follow the business requirements, existing systems, budget and technical constraints.

Can you advise on tracking and privacy?

We can review tracking technologies, tag configuration, consent-related implementation and data flows within the agreed technical scope. This work is not a substitute for legal advice. Organisations should obtain legal or data protection guidance where they need a formal interpretation of their obligations.

How do you assess AI and automation tools?

The starting point is a defined business need. Options are assessed against their suitability, data requirements, practical limitations, implementation effort and how the business will measure whether they help.

Can the work fit around an in-house team?

The scope can be shaped around existing skills and responsibilities, from an independent review and recommendations to agreed implementation support, training or collaboration with internal teams and agencies.

A short explanation of business needs is enough to start the conversation.

Get a quote

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