Performance marketing and the impact of AI on your growth

Performance marketing is at a tipping point. While marketers have for years obsessively optimised clicks, impressions and conversion rates, the focus is now shifting to something fundamentally different: real conversations with customers.

Artificial intelligence is driving this evolution and transforming how we think about online marketing. AI tools make it possible not only to run more personalised campaigns, but also to build genuinely meaningful interactions with your target audience. Instead of luring people to your website with generic ads, you can now proactively answer their questions, offer advice and build relationships that go far beyond a one-off purchase.

This shift towards AI-driven marketing has everything to do with changing consumer behaviour and new search engine technologies that prioritise conversational answers over traditional search results.

This shift has everything to do with changing consumer behaviour. Modern buyers expect immediate, relevant and personal answers. They no longer want to guess which product best suits them, they want guidance, advice and a sense that the brand truly understands them.

From transactions to relationships: the new performance marketing

“Search itself will be profoundly changing in 2025. I think we can tackle more complex questions than ever. You’ll be surprised, even early in 2025, about the kind of newer things search can do compared to where it stands today”

— Sundar Pichai, CEO of Google & Alphabet

These words perfectly capture the essence of modern performance marketing. Where traditional campaigns focused on maximising clicks per euro, it is now about creating valuable touchpoints that bring customers closer to your brand.

The figures speak for themselves: according to Salesforce research, 84% of customers say the experience a company provides is just as important as the products themselves. Moreover, Gartner has established that 89% of companies compete primarily on the basis of customer experience.

Just as e-commerce businesses must focus on conversion optimisation, all marketers now need to learn how to use AI for meaningful customer interactions that lead to sustainable growth.

How AI is changing the rules of the game

1. Conversational AI revolutionises customer service

Chatbots are no longer those frustrating robotic assistants you used to encounter. Modern conversational AI, powered by large language models such as GPT-4, can answer complex questions, give product advice and even provide emotional support.

If you want to learn how to write better prompts for AI systems yourself, it is important to understand that modern AI can do much more than just give standard answers.

2. Predictive personalisation at full strength

Machine learning algorithms can now not only analyse what customers have done, but also predict what they are likely to do. This predictive analytics makes it possible to proactively suggest relevant content, products or services before the customer has even thought of them.

A good example is Netflix, which recommends 80% of the content users watch via their algorithm. Or Spotify, which surprises millions of listeners weekly with its Discover Weekly playlist with music that perfectly matches their taste.

For e-commerce businesses this means that predictive analytics becomes crucial for conversion optimisation and increasing the average order value.

3. Dynamic content creation in real time

AI can now generate personalised ads, emails and landing pages within seconds, tailored to the behaviour, preferences and even the mood of individual users.

“In a world where you’re overwhelmed with content, you’re trying to find trustworthy content. Content that is understandable to you in a way you can reliably use. I think it’s going to become more valuable”

— Sundar Pichai, CEO of Google & Alphabet

For Shopify users there are specific AI apps and automations that make this dynamic personalisation possible without technical knowledge.

4. Generative Engine Optimization: staying visible in the AI era

A new challenge, and opportunity, is Generative Engine Optimization (GEO). AI search engines such as ChatGPT, Perplexity and Google’s AI Overviews no longer show just lists of websites, but generate complete answers based on their training data.

To remain visible in this new landscape, businesses must optimise their content for AI systems. This means your content not only needs to rank well in Google, but also needs to be included in the answers AI tools generate.

For local businesses this becomes extra important, because local SEO in Belgium is increasingly AI-driven. Businesses must optimise their online presence for both traditional search engines and AI assistants.

Concrete examples from practice

KLM: from call centre to conversational hub

KLM has completely transformed their customer service with AI. Their chatbot BlueBot processes more than 16,000 questions daily in 13 different languages. The result? A customer satisfaction score of 8.2 out of 10 and a 40% cost saving on customer service.

“The area where we’ve most aggressively applied AI in the company was in Search. The gaps in search quality were all based on Transformers. Internally we call it BERT and MUM and we made search multimodal”

— Sundar Pichai, CEO of Google & Alphabet

Coca-Cola: AI-driven creativity

Coca-Cola uses generative AI to create campaigns that respond to current trends and local events. Their “Create Real Magic” platform allows marketers to generate ads within hours that perfectly fit specific moments and locations.

Adobe: personalisation at scale

Adobe’s AI platform Sensei analyses the behaviour of billions of website visitors to enable real-time personalisation. The system can predict which content, products or offers are most likely to convert for each individual visitor.

The result is impressive: companies using Adobe Sensei see an average increase of 19% in conversion rates and 24% more revenue per visitor.

For smaller businesses that do not have the budget for Adobe Sensei, there are affordable alternatives such as Google Analytics Intelligence and other AI tools for marketers that can achieve comparable results.

The new metrics that matter

In the AI era, the KPIs we use to measure success are also shifting. Clicks and impressions remain relevant, but are joined by more meaningful metrics that better align with conversational marketing:

Engagement metrics:

• Conversation rate: how many visitors start a conversation?
• Dwell time: how long do people stay actively engaged?
• Return engagement: do people come back for more interaction?

Relationship metrics:

• Customer lifetime value (CLV): what is the total value of a customer?
• Net Promoter Score (NPS): how likely are customers to recommend you?
• Sentiment analysis: how do people feel about their interactions with your brand?

AI-specific metrics:

• AI conversation completion rate: how many AI conversations end successfully?
• AI satisfaction score: how satisfied are customers with AI interactions?
• Human handoff rate: how often does an AI conversation need to be handed over to a human?

If you want to learn more about how to measure and optimise these new metrics, conversion optimisation with AI and personalisation is an essential skill for modern marketers.

“We are the last generation of executives who will only manage human workers. From this point forward, we will not only manage human workers, but also digital workers”

— Marc Benioff, CEO of Salesforce

Practical steps for marketers

1. Start with conversational marketing

Start small by adding chatbots to your website, social media channels and e-commerce funnel. Tools such as Intercom, Drift or HubSpot make it easy to start without technical knowledge.

For Belgian SMEs who do not know where to start, an AI audit can help identify the best starting points and quick wins.

2. Optimise your content for intent

Focus not only on keywords, but also on the underlying questions and needs of your target audience. Think about what people really want to know and give concrete answers to that.

This means your SEO strategy must evolve towards GEO (Generative Engine Optimization) to remain visible in AI-generated search results.

3. Invest in first-party data

Collect as much of your own customer data as possible via surveys, interactions and behaviour analysis. This data is invaluable for AI systems to make better predictions and personalisation.

For e-commerce businesses it is extra important to implement structured data correctly so that AI systems can properly interpret your product information.

4. Experiment with AI tools

Test new AI platforms and integrate them step by step into your marketing mix. Start for example with AI for content creation or lead scoring via performance marketing.

For businesses considering outsourcing online advertising, AI expertise can be an important factor in choosing a marketing partner.

5. Train your team

Invest in AI skills for your marketing team. Skills such as prompt engineering, data analysis and customer experience design are becoming increasingly important.

Consider AI training for your team to ensure everyone can use the new tools effectively. Advanced prompt engineering techniques can make the difference between average and excellent AI results.

6. Measure and optimise

Track new metrics such as conversation rate, engagement time and sentiment analysis. Use this data to continuously improve your AI strategy.

For Shopify users there are specific SEO checklists that help with optimising conversational commerce and AI-driven product discovery.

“AI is doing 30% to 50% of the work at Salesforce now. We all have to get our head around the idea that AI can do things we used to do, and we can move on to higher-value work”

— Marc Benioff, CEO of Salesforce

Challenges and realistic expectations

Privacy and ethics

With great power comes great responsibility. AI-driven marketing brings privacy risks. Transparency about data use and respect for customer preferences are essential.

The human factor

AI can do a lot, but it does not replace human creativity and empathy. The best results arise when AI and human intelligence work together.

Just as there is a debate about AI copywriting versus human creativity, the same applies to performance marketing: the combination of AI efficiency and human strategy delivers the best results.

Technology integration

Integrating AI tools into existing marketing stacks can be complex. Start small and scale gradually.

For e-commerce businesses it can help to start with AI automation in specific areas before transforming your complete marketing stack.

ROI measurement

Measuring ROI becomes more complex when your focus shifts from direct conversions to long-term relationships. New attribution models are needed.

“Technology is neither good nor bad, it’s what you do with it. It’s our job to guide technology and determine the values. We must choose wisely, design deliberately and keep people at the centre of this revolution”

— Marc Benioff, CEO of Salesforce

The future of performance marketing

Performance marketing is evolving from “the cheapest click” to “the most valuable relationship”. Brands that invest in authentic conversations with their customers will not only see more conversions, but will also build stronger communities.

The winning formula? Combine the efficiency of AI with the warmth of human empathy. Use technology to create scale, but never lose sight of the personal element.

Just as LinkedIn has become a powerful platform for B2B marketing, AI tools can help you make meaningful connections with your target audience across all channels.

Getting started with AI-driven performance marketing

The shift to conversational marketing is no longer a future prospect, it is happening now. Businesses that get in early on this trend have a competitive advantage that is difficult to close.

At ClickForest we help businesses make this transition. From AI audits that provide insight into your current possibilities to complete AI implementations that transform your marketing. We combine performance marketing expertise with cutting-edge AI technology to achieve measurable results.

For e-commerce businesses we offer specialised Shopify services that integrate AI into every aspect of your online store, from SEO optimisation to conversion optimisation and lead generation.

The question is not whether AI will change your performance marketing, but when you will take the step. The sooner you start building real conversations with your customers, the stronger your position will be in an AI-driven world.