Digital Ads
This section has been written with inputs from Claude and ChatGPT.
Digital advertising began with a simple banner ad on HotWired in 1994. Early digital marketers treated the web much like print media—placing static images and hoping for clicks. Yet even then, the potential was clear: for the first time, advertisers could measure engagement in real-time, gaining insights impossible with traditional media like television or magazines.
The introduction of cookies in the late 1990s transformed this landscape. Originally designed for practical tasks like remembering shopping cart contents, these small text files became the foundation of targeted advertising. Suddenly, marketers could follow users across different sites, building increasingly detailed behavioural profiles. This spawned an entire ecosystem:
- Third-party cookies enabling cross-site tracking
- Data management platforms (DMPs) aggregating user profiles
- Ad exchanges facilitating real-time bidding
- Retargeting platforms chasing abandoned carts
- Look-alike audiences expanding reach
While some users appreciated more relevant promotions, many found it unsettling to be “chased” around the web by products they’d merely glanced at. That pair of shoes viewed on one website would haunt the next ten pages of browsing, creating an uncomfortable sense of surveillance. Privacy advocates began sounding the alarm about personal data being collected and sold without clear consent.
The backlash manifested in multiple ways:
- Rising ad blocker adoption
- Privacy legislation (GDPR, CCPA)
- Browser restrictions on tracking
- Apple’s App Tracking Transparency
- Google’s planned phase-out of third-party cookies
Simultaneously, programmatic advertising emerged through automated exchanges and real-time bidding. While this drove unprecedented efficiency and scale, it also created a black box where many brands couldn’t be certain if their ads were reaching real people or bots.
Today’s digital advertising landscape is dominated by three major forces:
- Search advertising (Google) – intent-based targeting
- Social media advertising (Meta) – interest and behaviour-based targeting
- Retail media (Amazon, Walmart) – purchase history-based targeting
While these platforms offer powerful targeting capabilities, they create several problems:
- High costs through auction-based pricing
- Dependency on platform algorithms
- Limited transparency
- Increasing privacy restrictions
- Growing consumer distrust
Enter NEON’s vision of PII-based advertising. Unlike traditional targeting that relies on shadowy tracking or inferred behaviour, NEON uses authenticated identity—email addresses that customers have willingly shared with brands they trust. When properly handled—with explicit consent and strong privacy protections—this creates several advantages:
- Precise targeting without privacy concerns
- Direct brand-to-brand collaboration
- Guaranteed audience reach
- Transparent performance measurement
- Cost-effective distribution
Most importantly, this shift from cookies to authenticated identity transforms advertising from interruption to value-add. Consider the difference:
Traditional targeting: “This shoe ad follows you everywhere because you once viewed similar shoes.”
NEON targeting: ” That premium luggage brand you once bought from now reconnects with you through the travel portal’s email newsletter you still open regularly.”
By tying ads directly to verified identity rather than probabilistic tracking, NEON helps ensure messages reach only the correct audience. This isn’t just better for privacy—it’s better for business, enabling precise targeting without the creepy factor or platform tax. The result? Ads can finally fulfil their original promise: delivering the right message, to the right person, at the right time, in a way that users genuinely welcome.
