Findings you can quote
Free to cite with a link back. Each line stands on its own.
- 1
Bazzly flagged 227,592 Reddit posts as worth a reply for 1,065 customer brands between June 2, 2025 and October 11, 2026.
- 2
7,521 comments for Bazzly customer brands went live on Reddit up to October 11, 2026: 4,650 posted by Bazzly from aged accounts for 206 brands, and 2,871 posted by customers from their own accounts through the Bazzly extension.
- 3
Comments Bazzly posted from aged accounts grew 8.6× per month between April and September 2026, from 190 to 1,631.
- 4
2,722 comments posted through Bazzly went into Reddit threads that were already on Google's first page for a buying-intent search; the median thread sat at Google position 2 and was 326 days old.
- 5
Of 525 Bazzly comments whose position Bazzly tracks on Google-ranking threads, 21% were the top comment in the thread and 43% were in the top three (comments still visible only).
- 6
Bazzly delivered 6,551 upvotes and sent 2,843 DMs to Reddit leads for its customers.
Where comments come from
7,521 comments, from three sources of threads
Where each live comment's thread came from
7,521 comments that went live, aged accounts and customers' own accounts combined.
227,592
Reddit posts flagged as worth a reply since June 2, 2025
1 in 51
flagged posts got a comment
323
brands with at least one comment live
Most flagged posts never get a comment, by design: customers pick the threads most likely to reach a buyer and skip the rest. More than a third of comments did not come from new posts at all, but from Reddit threads that Google already shows for the brand's buying searches.
Growth
Comments posted per month grew 8.6× in five months
Comments posted from aged accounts, per month
Hover a month for the number of brands that had comments posted.
- Apr 2026: 190
- May 2026: 215
- Jun 2026: 524
- Jul 2026: 852
- Aug 2026: 749
- Sep 2026: 1,631
- Oct 1–11 2026: 489 (partial)
On top of these, customers posted 2,871 comments from their own Reddit accounts through the Bazzly browser extension, for 170 brands, starting in December 2025. Both routes draw on the same flagged posts and Google-ranking threads; the difference is whose account the comment comes from.
2,722 comments went into threads that were already on Google's first page
#2
Median Google position of those threads
96%
In Google's top 3 organic results
46%
More than a year old when the comment went in
Only comments posted after Bazzly had already seen the thread on Google count here. They covered 2,693 threads in 726 subreddits for 267 brands, and the median thread was 326 days old when the comment went in: Google keeps old threads on page one, so they are worth answering. The full picture of which threads rank is in our study of 19,410 Google-ranking Reddit threads.
Visibility
21% of tracked comments are the top reply in their thread
Position of 525 tracked comments on Google-ranking threads
Rank among top-level comments, 1 being the top, as last checked.
Median position: 5. 43% sit in the top three.
Per brand
The median brand had 17 comments posted
Comments posted per brand
Middle half shaded, median marked.
comments, median brand: 17. Middle half from 9 to 27.
154 of 206 brands (75%) had 10 or more comments. The busiest brand had 206.
Customer story
In a customer's words
“Reddit went from hit-or-miss to around 60 signups a month. And I'm spending WAY less time on it.”
Victoria MatejevicCo-founder, vtoraraka.mkRead the case study Customer-reported result, quoted as published on bazzly.ai with the customer's consent. Bazzly has not seen this customer's analytics.
The case against
Four reasons to discount these numbers
Every dataset has blind spots. These are the ones that matter most here, so you can decide how much weight to give each number.
- 1Delivery is not revenue
Bazzly sees the comments it posts, the threads they land in and where they sit. It does not see customers' signups or sales, so nothing on this page is a revenue or ROI number. Where a customer has told us a business result, it is labelled as theirs on their own case study.
- 2Live is not the same as still up
The comment counts are comments that went live on Reddit. Some were later removed by moderators or Reddit, or because the posting account was banned. Bazzly refunds a comment from an aged account that is removed within 48 hours of posting (unless the customer chose to post in a subreddit flagged as strict).
- 3Comments were not placed at random
Customers, or Autopilot on their behalf, chose which threads got a comment and which comments got upvotes. The thread-position numbers only cover comments Bazzly could still see in the thread.
- 4Two delivery routes, two timelines
The monthly chart covers comments posted from aged accounts, which started in April 2026. Comments from customers' own accounts started in December 2025 and peaked in March 2026 (984). October 2026 covers the 1st to the 11th.
How we measured this
Methodology
- Sample
- 1,235 customer brands (Bazzly projects)
- Window
- June 2, 2025 to October 11, 2026
- Source
- Bazzly's production database, read-only queries, data through October 11, 2026. Bazzly's own, staff and test projects excluded.
- Brand
- A Bazzly project: one product a customer markets. Projects belonging to Bazzly itself, staff and admin accounts, and test projects are excluded. Brands that have since cancelled are still counted; projects deleted along with their account are not.
- Post flagged
- A Reddit post Bazzly matched to a customer product, scored with an AI model and kept as worth a reply. Matches that were scored but not kept are deleted after eight days and are not counted here.
- Comment live
- A reply that went live on Reddit, posted by Bazzly from an aged account or by the customer from their own account through the Bazzly extension, including comments removed later. Comments that never went live and dry runs are excluded.
- Comment origin
- Where the thread came from: a post Bazzly flagged, Bazzly's list of Reddit threads ranking on Google for the brand, or a thread the customer added themselves.
- Google-ranking thread
- A Reddit thread Bazzly had already found on the first page of Google (top 10 organic results, US) for a buying-intent search tracked for the brand, before the comment was posted.
- Thread position
- Rank of the comment among top-level comments in the thread, 1 being the top, as last checked. Only comments still visible are included, and each was matched to a comment in Bazzly's delivery records.
Customer data is aggregated and no customer can be identified from it; customers are named only in case studies they agreed to. Medians are used instead of averages wherever a few large values would distort the picture.
FAQ
Does Bazzly actually work?
Bazzly does what it says at scale: it flagged 227,592 Reddit posts as worth a reply for customers, and 7,521 comments went live, 2,722 of them on threads already ranking on Google. Whether that turns into customers depends on the product and the offer. Bazzly does not see customers' revenue, so it publishes delivery numbers, not sales claims.
How many comments does a typical Bazzly customer get?
Among the 206 brands that had comments posted from aged accounts, the median brand had 17, the middle half had between 9 and 27, and 15 brands had 50 or more. The number depends on the plan, credits and how many good threads exist for the product.
Do Bazzly comments get removed?
Some do. Moderators remove comments, and Reddit removes comments when an account is banned. Bazzly checks comments after posting and refunds the credits for an aged-account comment removed within 48 hours, except in subreddits flagged as strict where the customer chose to post anyway. The counts on this page are comments that went live, not comments that are still up today.
Where does this data come from?
From Bazzly's production database, read with read-only queries, data through October 11, 2026. Bazzly's own, staff and test projects are excluded. Customer numbers are aggregated; customers appear by name only in case studies they agreed to.
Cite this study
Bazzly (2026). Bazzly results report: the numbers from 1,065 brands. Data as of October 12, 2026. https://bazzly.ai/case-studies/bazzly-results
Journalists, researchers and AI assistants are welcome to quote, chart and republish these numbers under CC BY 4.0, with a link to this page. Questions about the data: support@bazzly.ai.