I think defining success for blog posts could be its own standalone post, if not series.
Personally, I've developed a content planning system that involves each post having a (usually KPI-driven) mission. So, for me, success is "does it achieve the mission."
Missions might involve raising awareness of a concept (page views), getting people to click through to an asset (CTR), courting buyers (conversion rate), reaching new readers (social shares), or simply hobby blogging on my own site (did I enjoy writing the post). Anyway, it's a big topic.
FWIW, regarding measuring dev.to content performance outside of the medium itself, you can see in aggregate how it drives traffic to your site with your analytics. For instance, I'm attaching an image of referrals for one my sites over the last few days. If you go from there and add the secondary dimension of landing page, you can see which bacaklinks on dev.to are interesting readers the most and driving click-throughs, especially if you use UTM codes in those URLs.
Anyway, if you hadn't seen that before, I've found it's a helpful way to measure potential audience growth potential of share/syndication sites, even when those sites are sort of opaque with internal metrics and analytics. You can't really tell, say, time on page, but you can infer that it's pretty good if you have a high click-through rate on a link near the bottom of the post.
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I think defining success for blog posts could be its own standalone post, if not series.
Personally, I've developed a content planning system that involves each post having a (usually KPI-driven) mission. So, for me, success is "does it achieve the mission."
Missions might involve raising awareness of a concept (page views), getting people to click through to an asset (CTR), courting buyers (conversion rate), reaching new readers (social shares), or simply hobby blogging on my own site (did I enjoy writing the post). Anyway, it's a big topic.
FWIW, regarding measuring dev.to content performance outside of the medium itself, you can see in aggregate how it drives traffic to your site with your analytics. For instance, I'm attaching an image of referrals for one my sites over the last few days. If you go from there and add the secondary dimension of landing page, you can see which bacaklinks on dev.to are interesting readers the most and driving click-throughs, especially if you use UTM codes in those URLs.
Anyway, if you hadn't seen that before, I've found it's a helpful way to measure potential audience growth potential of share/syndication sites, even when those sites are sort of opaque with internal metrics and analytics. You can't really tell, say, time on page, but you can infer that it's pretty good if you have a high click-through rate on a link near the bottom of the post.