The Quiet Shift in Hashtag Strategy
Flick built its reputation as the go-to hashtag research tool for social media managers who wanted granular data on hashtag performance, competition scores, and niche discovery. For a few years, it held that space comfortably. But Publer, the scheduling and publishing platform that most agencies adopted for its multi-account management, has been quietly expanding its AI feature set – and the hashtag suggestion engine it now offers is pulling users away from Flick without much fanfare from either side.
The appeal is simple: agencies are tired of paying for a dedicated hashtag tool when their scheduler is already doing the job well enough. Publer’s AI hashtag suggestions pull from content context, caption tone, and platform-specific norms to generate relevant tag sets, and for a growing number of agencies, “well enough” has become “actually better for our workflow.”

What Flick Does – And What It No Longer Does Exclusively
Flick’s core product centers on its hashtag analytics database. Users can search a hashtag, see its post volume, get a difficulty rating, and discover related tags that land in a competitive sweet spot – high enough reach, low enough saturation. It also offers a saved sets feature and a hashtag manager that lets teams organize tag groups by campaign or content pillar. For a solo creator or a small team deeply invested in Instagram growth, that depth still matters.
The problem Flick faces is not that it does any of this poorly. The problem is that agencies running 20 or 40 client accounts do not want to open a second tab. They want the hashtag layer built into the tool where they are already writing captions, scheduling posts, and reviewing content calendars. Publer figured out how to sit exactly in that spot.
Publer’s AI assistant generates hashtag recommendations as part of the caption-drafting process. A user writes or pastes content, and the AI surfaces tag suggestions calibrated to that specific post’s language and topic, not a generic category. The suggestions skew toward relevance over volume, which aligns with how platform algorithms currently reward content – Instagram and TikTok in particular have moved away from rewarding accounts that spray broad, high-volume tags across every post.

The Workflow Economics of One Platform
Agencies that have moved away from Flick frequently cite subscription fatigue as the breaking point. When a mid-size social media agency is already paying for Publer, a reporting tool, a creative asset platform, and possibly a social listening service, Flick starts looking like a line item that needs justification. If Publer’s built-in suggestions are hitting 80 to 90 percent of what Flick provides for typical client content, the case for keeping both subscriptions gets harder to make in budget reviews.
This mirrors a broader pattern playing out across marketing tool stacks – the same pressure that has pushed teams to consolidate analytics and reporting into all-in-one dashboards. Publer’s hashtag feature did not launch with a press release or a product comparison campaign. It arrived as a sub-feature inside an AI writing assistant, and agencies discovered it while using something else entirely.
Where Publer Still Falls Short – And Why That Might Not Matter
Publer’s hashtag suggestions are context-driven but not research-driven. There is no competition score, no post volume graph, no saved sets manager organized by niche. A user who wants to understand the long-term performance trajectory of a hashtag, or who is building a hashtag strategy from scratch for a new client vertical, will still find Flick’s dedicated interface more informative. Publer is a content production tool that generates useful tags – Flick is a hashtag research tool that helps users understand why specific tags perform.
That distinction matters most for agencies doing intensive audience-building work, particularly in competitive categories like wellness, fashion, or finance content where hashtag strategy is genuinely part of organic growth planning. For those teams, Flick remains defensible. But many agency accounts are not doing that level of strategic hashtag work for every client. They are scheduling consistent content, maintaining brand voice, and keeping posting cadences on track. In that operational reality, Publer’s suggestions are entirely sufficient.
Publer’s advantage is compounding in a specific direction: the more features it absorbs into a single interface, the harder it becomes for single-purpose tools to justify their place in the stack. Its AI assistant already handles caption drafting, hashtag generation, content repurposing, and publishing across platforms. Each new capability added to that layer increases the gravitational pull toward consolidation. Flick needs users to believe that hashtag research is specialized enough to warrant its own dedicated product. Right now, a meaningful segment of its user base is no longer convinced.

The agencies most likely to make the full switch are those running content-heavy accounts on a tight budget, where operational efficiency outweighs analytical depth. The agencies most likely to stay with Flick are those who treat hashtag strategy as a billable deliverable – where the research process itself has client-facing value. That second group is real, but it is smaller than Flick’s original addressable market assumed. And Publer seems comfortable letting the math do the work.
Frequently Asked Questions
Can Publer fully replace Flick for hashtag research?
Publer handles context-driven hashtag suggestions well, but lacks Flick’s dedicated analytics like competition scores and post volume data, making it best for operational agencies rather than deep hashtag strategists.
Why are agencies switching from Flick to Publer for hashtags?
Agencies are consolidating tool stacks to cut costs, and Publer’s built-in AI hashtag feature eliminates the need for a separate subscription when scheduling and publishing is already handled there.





