Oh boy... I want to explain this, but I ain't gonna say I have a single bit of inside knowledge on this. What I've got is
my interpretation; take it with a grain of salt, deal. Which means I am giving you what makes sense to me. If you can discover a better explanation, then feel free to call bullshit on this. I won't get mad.
Alright, to start off with? Views. Those are the loosest numbers to go by. Views are basically impressions with filtering, not readers. What I mean is that they include returning readers opening chapter updates, clicking to go to and immediately leaving from someplace like Discord, Reddit, or just the SH bookmarks. You know, the library readers utilize that auto-open on the latest chapter? Then we have cached preview loads which, sometimes, preload requests from the readers.
So those 1,100 views does not mean 1,100 people evaluated your novel that day. What it does mean is 1,100 times that chapter's page got
rendered. That's why views, when they spike, don't often mean the same thing as producing readers.
Let's get into the readers. At least, the gains down to the strictest numbers. That only increases when someone who never had your story in their library before goes and adds it. You knew that, I'm sure. But that also means returning readers don't give the stats any recognizable gain, existing followers binging, or any sort of viral chapter to your own fanbase; almost no reader gain.
But a low reader count with high activity? That's existing readers who moved, not new folks.
Hey, not all bad. You get favorites from those existing readers which act like recommendations on a surface exposure.
Did I sound strange explaining that? Good. Because this is the key weird one.
Favorites don't scale with views but they do scale with visibility slot placement. SH rotates stories through internal shelves by latest updates, tagging those micro-feeds, the returning reader recommendation pools I mentioned earlier, also peeps who read
this also saw
that, and whenever your recently active story gets resurfaced from under the mountains of AI slop.
Those surfaces? Those are mostly hitting fellas who are already predisposed to liking your... I think it is tags, specifically. So when your novel briefly lands in one of those, you're gonna get fewer total clicks but extremely high conversion which results in the most modest of views added with massive favorite spikes.
Now you know why that screenshot of your stats page looks like that. But not everything gets updated on that page immediately; comments lag behind everything else.
The reason why is because they require reading with reactions, that means the readers have to be willing to post. And we all know how silent readers can be. But, in comparison, favorites are easier to gain because the reader could just read the chapter later.
Summed up: favorites react instantly to that pesky shelf placement, whereas comments react slowly to reading completion. That's why your comment stats peaks earlier than favorites; it's tied to a chapter release, not discovery traffic.
As for that specific day you got there? I'm just guessing, but it looks like you released a chapter, existing readers, well, read it, and then the comments started afterwards. The algorithm or system or whatever the platform uses, it detects the activity and then resurfaces the novel into the tag feed. Non-existing readers of your novel will then be browsing tags and might favorite your stuff; that's your high conversion. Most already read similar stories, so that means low new readers because the views are gonna remain moderate due to the traffic directed at a niche target.
It feels random, but it is practically returning readers who actively trigger a recommendation bucket. Don't get that confused with a popularity spike. It's confusing, I know, but that's because we keep thinking popularity means views will gain us readers and finally that spicy engagement. That's not how this works. SH operates on engagement first, then it triggers resurfacing which will target those interested and follow up with the conversion I mentioned.
If this is still confusing, I'll simplify it.
This system wasn't promoting your story to everyone; it was only re-showing it to people already likely to go read it.
Once again,
my interpretation. Got something better? I'm willing to learn.