1000words: Turning Editorial Traffic
into Revenue Attribution
Content engagement scoring, affiliate click tracking, ad revenue integration, and newsletter impact quantification for a photography and culture portal.
The brief
1000words was a photography and culture editorial portal - longform articles, news, interviews, curated photo essays. Revenue came from display advertising (Google Ad Manager), sponsored content, affiliate links (book and print sales), newsletter traffic, and occasional events. The problem: editorial traffic was strong but revenue attribution was a black box. The team knew which articles got pageviews but couldn't connect content performance to any revenue metric. Sponsored content was priced on 'reach' because nobody could demonstrate engagement depth. The newsletter was 'important' but nobody could quantify how important.
What we found
Pageviews and sessions only. No scroll depth, article completion, internal clicks, or outbound affiliate click tracking.
Ad revenue in GAM, traffic in GA, no link between them. Revenue per session, per article, per source all unknown.
Outbound clicks to book shops and print retailers left the site untracked. Revenue appeared in affiliate dashboards days later with no article-level attribution.
Inconsistent UTM tagging - some newsletters tagged, some not, some with incorrect UTMs attributing to 'direct'. No data to support the belief it was the most valuable channel.
What we built
Custom events: article_scroll_25/50/75/90, article_read_complete (90%+ scroll + 60s minimum), outbound_affiliate_click (with destination, product, article slug), internal_recirculation_click, newsletter_signup, social_share.
Calculated score combining scroll depth, time on page, recirculation, social shares. Custom dimension in GA4. An article with 800 views and 72% completion scored higher than one with 3,000 views and 15% completion.
Every outbound affiliate link tagged with click event: article URL, partner, product, link position. Click-through rate measurable per article, partner, and traffic source. Combined with affiliate revenue data in Looker Studio for per-category revenue estimation.
Strict UTM conventions for all links. GA4 showed newsletter traffic had 2.3x engagement score and 1.8x affiliate click rate vs organic search - confirming the team's intuition with data.
GAM linked to GA4. Revenue per session, per article, per source, per category visible for the first time. Long-form interviews generated 3.4x more ad revenue per session than news briefs.
Content performance, revenue metrics, channel performance, and 'best performing content' ranking combining engagement + revenue rather than just pageviews.
Results
Over 4 months
The most commercially impactful outcome: with engagement scoring and ad revenue data, the team renegotiated sponsored content rates using completion rates and time-on-page instead of raw pageviews. Two major brand partnerships renewed at 40% higher CPMs.
Tech stack
Running a content business?
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