Evanne

Three marketing people discussing affiliate strategy

Why Advertisers are Shifting Affiliate Budgets to Performance and Intent

The last few years have felt like a reckoning for marketing teams. When budgets tighten and CFOs demand accountability, the bright, fuzzy world of brand advertising begins to look expensive and slow.  In response, many advertisers are reallocating parts of their media mix, shifting dollars away from broad brand plays and into performance-led channels, such …

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Social Media Affiliate Marketer taking a selfie with supplement products in view.

Why Transparency is a Big Issue in Affiliate Marketing

Affiliate marketing has evolved into a significant component of the digital economy, with influencers and content creators driving substantial e-commerce revenue. According to Business Insider, in 2024, affiliate marketers contributed to 20% of Cyber Monday’s e-commerce revenue in the U.S., a 7% increase from the previous year.  Transparency in affiliate marketing involves openly disclosing an …

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Man sitting at computer engaging in click fraud.

Fake Clicks: How Fraud Detection is Evolving

Click fraud has become a significant concern for advertisers and marketers. Fake clicks—generated by bots, automated scripts, or malicious actors are creating havoc in campaign data, wasting advertising budgets, and making it difficult to measure real performance. As digital advertising continues to grow in scale, brands and networks increasingly rely on fraud detection technology to …

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Person reviewing predictive analytics through binoculars dashboard to guide campaign decisions and optimize ROI.

Predictive Insights Start Driving Campaign Decisions

Digital marketing is entering a new era where data-driven strategies are no longer limited to reporting past performance, but are beginning to forecast future outcomes. Predictive analytics and machine learning tools are enabling marketers to anticipate customer behaviour, optimise campaigns proactively, and make smarter decisions, driving measurable results. Instead of relying solely on historical data, …

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Man holding laptop with good CPA results.

How Machine Learning Improves Cost-Per-Acquisition Efficiency

In today’s fast-moving digital advertising environment, marketers are under constant pressure to deliver better results without increasing budgets. Cost-per-acquisition (CPA) models have long helped advertisers track how much they spend to acquire a customer. Still, traditional approaches often rely on static assumptions, broad targeting, and manual optimisation. As competition grows and consumer behaviour evolves, these …

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