We look for ways to improve your digital strategy through in-depth audits and a personalized approach. We review your campaigns, assets, data, and martech stack to find out what’s holding performance back and where there’s room for improvement.
We also assess how you’re using AI today by taking a look at real use cases, processes, the quality of your inputs (briefs, prompts, data), and risks and governance. The goal is to obtain clear, measurable results, prioritize quick wins, and create a practical action plan to drive growth and stay competitive.
Why Choose Cyberclick?
Data-Driven Strategic Diagnosis (With AI in Mind)
We review your assets, campaigns, analytics, and data sources to get a full picture of performance. Our data science and digital marketing team looks for patterns, inconsistencies, and areas to improve, and checks which AI initiatives are actually delivering measurable value.
A Personalized Audit Across Channels, Data, and AI
The audit can focus on specific areas (paid media, CRM, social media, measurement) or take a full, big-picture look at your setup. On the AI side, we review use cases, processes, and input quality to make sure AI is driving real impact, not just running experiments.
Experience That Makes a Difference
Our team combines hands-on experience with technical know-how to deliver smart, practical solutions. At the end of the audit, you’ll get a detailed report with key findings and a clear set of recommendations and next steps. We don’t just analyze — we provide the strategic insight that actually drives results in your industry.
Strategic Support and Execution
If you decide to implement the recommendations, we’ll be there to help with the execution process — optimizing, setting up, tracking, and improving as you go. And if AI adoption is the challenge, we will guide you by providing you with a clear approach, usage framework, and training so that you can scale safely and effectively.
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FAQs
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Why do you need a digital and AI audit?
An audit helps you:
- Boost performance: spot incosistencies in campaigns, CRO, content, and measurement.
- Prioritize investments: know what to optimize, what to stop, and where to scale.
- Get reliable measurement: check tracking, attribution, and data quality.
- Use AI smartly: evaluate use cases, processes, and risks so AI actually adds efficiency and quality (not just noise).
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How often should you conduct a digital and AI audit?
The ideal frequency depends on your industry and market dynamics, but it’s a good idea to run a digital audit at least once a year — or anytime you make major changes to your strategy such as implementing new platforms, redesigns, updates to tracking or consent, CRM or analytics migrations, or adding AI tools and workflows for marketing and content.
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What does a digital and AI audit cover?
It can cover areas such as:
- Paid media: structure, creatives, audiences, efficiency, and learning.
- SEO and search visibility with AI (GEO): content, demand, site architecture, and presence in generative AI answers.
- CRM and automation: funnel, lifecycle, lead scoring, nurture flows, and data quality.
- Analytics and measurement: tracking, attribution, events, dashboards, and data governance.
- AI in marketing: use cases, processes, input quality, brand control, risks, and evaluation criteria.
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How much does a digital and AI audit cost?
The price depends on various factors such as the number of channels and countries, maturity of your measurement, complexity of your stack (CRM, analytics, CDP, automation), and in how many areas you want to implement AI. After an initial briefing, we’ll define a clear scope and send you a personalized quote.