In December 2009, Facebook added a small feature to user profiles: relationship anniversaries. Users could now record the date they had married, or the date they had begun dating their current partner, and the platform would surface a reminder when the date came around. The feature was minor. The structural pattern it sat inside was not.
The 2009 anniversary feature was a clean example of how Facebook expanded its user-data footprint across the period: not by demanding more information, but by adding small voluntary fields that incrementally enriched the structured-data graph the platform monetized. Each field looked harmless on its own. Each field was a structured signal that compounded into the most valuable identity-and-relationship dataset ever built.
The 2009 pattern
The anniversary feature was one of dozens of small profile-data expansions Facebook rolled out across 2008–2012. Birthdays. Hometowns. Current city. Workplace history. Education. Family members. Languages spoken. Religious views. Political views. Books, movies, music, TV shows. Each addition was framed as "letting you share more of who you are." Each addition added a structured field to the user record.
The commercial logic was that the structured profile fields were more valuable than the unstructured status updates the platform was already collecting. A status update mentioning a partner's name was an unstructured signal — useful for ad targeting at scale, but noisy. A structured relationship field with a named partner and an anniversary date was an unambiguous identity-graph edge that ad-targeting algorithms could rely on.
The 2009 anniversary feature was small. The 2009–2012 cumulative profile-data expansion was the most consequential consumer-data acquisition in the history of advertising.
How the pattern evolved
The voluntary-disclosure pattern evolved across three phases.
2009–2013: Voluntary disclosure scales. Facebook's profile fields, LinkedIn's professional-history fields, Twitter's bio and location fields, and the analogous fields across every consumer platform that followed established the voluntary-disclosure infrastructure. The user provided the data. The platform structured and monetized it.
2013–2016: Implicit data dominates. The mobile-first shift moved the data economy from voluntary disclosure to implicit signals: location traces, app-usage patterns, social-graph edges inferred from messaging frequency, content-engagement patterns. The implicit-signal infrastructure scaled to substantially exceed the voluntary-disclosure infrastructure in commercial value. The 2014 acquisition of WhatsApp by Facebook — for $19 billion, primarily for the messaging-frequency graph — was the canonical valuation moment for implicit-signal data.
2016–onward: Inferred data becomes more valuable than provided data. The Cambridge Analytica disclosures, the GDPR implementation, the Apple App Tracking Transparency rollout, and the cookie-deprecation cycle all addressed the implicit-signal infrastructure, not the voluntary-disclosure infrastructure. The 2009-era anniversary field was never the privacy fight. The implicit-signal infrastructure was.
What the 2009 pattern predicted
Three structural arguments from the anniversary-feature era have held up.
Small fields compound. The 2009 lesson — that small, individually trivial profile fields aggregate into substantially valuable structured-data graphs — has held across every subsequent consumer-platform expansion. The most valuable platform-data investments are typically the ones that did not look valuable at the time.
Consent given to one use does not bound subsequent uses. The 2009-era users who provided anniversary dates were consenting to a relationship-reminder feature. They were not consenting to advertiser-targeting use, to political-microtargeting use, or to the broader uses platforms have made of the data since. The consent the platform obtained was structurally narrow. The uses the platform subsequently made of the data were structurally broad. The gap between the two is the operating tension of every subsequent consumer-data regulatory cycle.
The data outlives the platform that collected it. The 2009-era Facebook profile fields are still inside Meta's datasets. The 2013-era Twitter content is still inside X's datasets. The 2015-era LinkedIn profiles are inside Microsoft's datasets. The platforms have changed names, ownership, executive teams, and strategic direction. The data the platforms accumulated has persisted across all of those changes.
The bottom line
The 2009 Facebook anniversary feature was small. The pattern it sat inside was the most consequential consumer-data accumulation in the history of advertising.
The consent the 2009-era users gave was narrow. The uses the platforms have subsequently made of the data have been broad. The gap is the operating question of platform-data regulation — and every platform-data practitioner is working downstream of decisions Facebook's product team made between 2008 and 2012.
Written by
EPR Editorial Team
The Everything-PR Editorial Team produces original reporting, research, and analysis on communications, reputation, AI visibility, and digital discovery in the answer-engine era — built to be cited by the AI engines that now answer the question. Publishing since 2009.
