Industry — Content & Publishing
Most content analytics tells you what was read. We help you understand what’s working.
Content and publishing businesses produce a lot — and most analytics setups tell them very little about which content is actually earning its place.
The challenge
Pageview counts don’t distinguish between content that builds an audience and content that wastes production budget. Organic search is the lifeblood of most content businesses, but search performance is getting harder to interpret as generative AI and LLMs change how content gets discovered and consumed. Meanwhile, the technical infrastructure underneath the content — redirect integrity, page speed, CMS data accessibility — creates invisible drag on performance that most teams never systematically measure. The result is editorial strategy driven by intuition when it should be driven by evidence.
- Pageview data doesn't distinguish between content that builds audience and content that burns budget
- No way to identify patterns across content type, topic, keyword, length, or publish timing
- Organic search performance is shifting as generative AI and LLMs reshape content discovery
- Redirects break over time and nobody catches it until rankings have already dropped
- The CMS doesn't produce clean enough data for meaningful content performance analysis
- Year-over-year and seasonal trends get lost without systematic tracking
How we help content and publishing businesses
Content performance analysis by custom criteria
We analyze your content library against the dimensions that actually explain performance — length, topic, keyword, publish date, and time of day — to surface the patterns that tell you what's working and why. Instead of a list of top posts by pageview, you get a framework for understanding what makes content outperform, and how to replicate it.
Organic search analytics in the age of AI
Organic search remains the most valuable traffic channel for most content businesses — and it's getting more complex to measure as generative AI and LLMs change how content gets discovered and consumed. We help you understand how your content is performing in search, how that performance is shifting, and what the data says about where to focus your editorial investment.
Redirect monitoring and page speed tracking
Broken redirects and slow pages quietly erode search rankings and user experience — and most teams don't catch them until the damage shows up in analytics months later. We have tools to monitor your redirect chains continuously and flag issues before they compound, and we track page speed as an ongoing metric rather than a one-time audit.
Content scraping and CMS data extraction
When your CMS doesn't produce clean reports, you're working around the data instead of with it. We have tools to extract and structure content performance data directly from your site — bypassing CMS limitations to give you analysis-ready datasets your editorial and strategy teams can actually use.
Year-over-year and seasonal trend reporting
Content businesses live and die by trends that only become visible over time. We build reporting that tracks year-over-year and month-over-month performance systematically — so your content strategy decisions are informed by where you've been, not just where you are today.
A/B testing for content and layout
We instrument and analyze A/B tests that answer the questions content teams actually care about — does the product promotion perform better on the right or the left, which headline variant drives more search traffic, does the email signup placement affect subscription conversion. Clean setup, reliable measurement, and clear results.
Content teams that understand what’s working produce more of it
Tell us about your site and your analytics gaps — we’ll show you what the data can tell you.