By analysing engagement data and target group interactions, brands can precisely adapt their influencer marketing strategies. Data helps to measure the success of campaigns, select the right influencers and optimise content to achieve greater reach and quality.

With the increasing regulation of social media platforms, brands need to ensure that their influencer marketing strategies comply with applicable laws and regulations. Transparency in advertising is crucial to prevent legal issues.

Authenticity is a decisive success factor. Consumers prefer content that appears organic and credible rather than obvious advertising. Influencers who are honest and transparent with their community can strengthen brand loyalty and the trust of their target group.

Micro-influencers, who have fewer than 100,000 followers, often offer a higher engagement rate and a more authentic connection to their target group. Brands benefit from a more personal relationship with followers, which can increase the effectiveness of campaigns.

Influencer marketing is the collaboration between brands and influencers to promote products or services. It used to be a simple collaboration, but today it is a multi-layered ecosystem in which influencers act as brand ambassadors and maintain a close relationship with their community. This has far-reaching effects on the strategies of brands.

Yes, AI can also work with privacy-friendly methods such as first-party data and cohort-based analyses. Companies should adhere to data protection guidelines such as the GDPR and offer transparent opt-in mechanisms for users.

AI optimises the frequency and timing of ad placement to avoid advertising fatigue. It analyses interactions and adjusts the frequency so that users are not addressed too often, but also not too rarely.

The leading tools include Google Ads (smart bidding, responsive display ads), Meta Advantage+ (Facebook & Instagram ads), Criteo (dynamic retargeting), Adobe Sensei (predictive analytics), The Trade Desk (programmatic advertising) and BlueConic (AI-supported customer segmentation).

AI improves personalisation, predicts user behaviour (predictive analytics), optimises ad placement, automatically adjusts bidding strategies and creates dynamic ads in real time. This increases the conversion rate while optimising advertising costs.

Traditional retargeting uses predefined rules and tracking technologies to retarget users. AI-based retargeting, on the other hand, analyses user behaviour in real time, personalises ads individually and optimises campaigns using self-learning algorithms.

Yes, blockchain can be used to create tamper-proof reward systems. Points or tokens stored on the blockchain cannot be falsified and provide a transparent basis for long-term customer loyalty.

Blockchain stores data in a decentralised and encrypted manner, which significantly reduces the risk of data misuse. Customers can track how their data is used, which increases trust and security.

Blockchain can verify the authenticity of followers and interactions so that brands can be sure that the reach of influencers is genuine. Fake followers and paid likes are thus recognised and avoided.

Blockchain technology allows every campaign interaction to be documented and verified, which ensures that the adverts really do reach the desired target group. As a result, advertising budgets are utilised more efficiently.

Blockchain enables tamper-proof traceability of advertising campaigns and data flows. Companies can show in detail where data comes from and how it is used, which strengthens consumer trust.