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Digital strategy kick-off: How to start the year with a data-driven marketing plan

By Rachael Stackhouse
The start of a new year is more than a reset. It’s an opportunity to refocus your marketing strategy on what actually drives impact. With more channels, platforms and data available than ever before - and AI now accelerating both insight and execution - success depends on turning information into action, not just setting ambitious goals.
Rachael StackhouseSenior consultant

As digital behaviour evolves, so does the way brands are discovered and evaluated. Search remains important, but it’s no longer just about keywords and rankings. AI-powered search experiences, recommendation engines and generative tools now sit alongside social, content and paid media as part of a much broader discovery ecosystem. A strong digital strategy helps teams align priorities and budgets around evidence rather than assumptions. 

Start with performance

Before looking ahead, look back. A data-driven kick-off begins with an honest review of last year’s performance across channels

Which activities delivered meaningful outcomes? Where did engagement stall? How did different channels support each other across the funnel? Increasingly, AI-powered analytics can help uncover patterns and correlations that may have been missed - turning raw performance data into clearer insight. Understanding what worked, and why, creates a solid foundation for the year ahead. 

Define clear, measurable objective

Data only becomes useful when it’s tied to clear goals. Whether your focus is brand awareness, demand generation, lead quality or customer retention, objectives should be specific, measurable and aligned with wider business priorities.

This is also the moment to agree on what success looks like in an AI-influenced landscape. That might include improving visibility for strategic topics, increasing high-intent traffic, or ensuring content is structured and authoritative enough to surface within generative search and AI-driven recommendations.

Use insight to shape channel and content strategy

Performance insight should guide where you invest time and budget. Rather than spreading resources evenly, data helps prioritise the channels and content formats that resonate most with your audience.

Here, AI can support faster analysis of audience behaviour, content performance and emerging trends. Combined with human judgement, this insight helps shape content that is relevant, discoverable and genuinely useful across touchpoints, from search and social to owned platforms.

Build flexibility into the plan

A strong digital strategy isn’t static. Platforms, algorithms and audience expectations are evolving faster than ever, often driven by advances in AI.

Using data to set benchmarks, then reviewing performance regularly, allows teams to test, learn and optimise throughout the year. AI-supported forecasting and performance modelling can also help identify opportunities earlier, enabling quicker, more confident decision-making.

Align teams around shared insight

Finally, a successful kick-off plan creates alignment. When teams work from the same data, supported by shared insight and common tools, execution becomes faster and more effective.

AI can help unify reporting and surface insight, but alignment still depends on people. Shared understanding turns strategy into action and ensures everyone is working towards the same outcomes.

Starting the year with a data-driven digital strategy, supported by AI-enabled insight, brings clarity and focus. It helps teams make smarter decisions, adapt to change, and build a framework that evolves with the landscape - setting brands up for stronger performance throughout the year.

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Gabriella BjörnbergManaging director, Stockholm
James HandslipManaging director, UK
Mikko PeltomäkiManaging director, Finland