Twitter signals for sales and research.
Pull tweets, replies, and profiles matching any keyword, hashtag, or account. Use AI Intent Detection to find buyers discussing their problems live.
Why Twitter / X data matters
Twitter is the fastest public channel for finding out that something has gone wrong. People complain there first, in public, in real time — and for anyone selling a solution to a named frustration, that immediacy is the entire value.
At one credit per result it is the cheapest source available, which changes what is practical. Continuous monitoring stops being a budget decision and becomes a default, and the window between someone expressing a problem and choosing a solution is usually measured in days.
It is strongest for reactive work: competitive monitoring, launch tracking, and capturing the specific language your market uses, which is frequently not the language your marketing uses.
What data is actually available
Each result carries the full tweet text, timestamp, and direct URL, so you can reply in context rather than referencing something vaguely.
The author object comes attached: handle, display name, bio, and follower count. Bios often state role and company, which makes a monitoring run double as prospect discovery.
Engagement metrics — likes, retweets, replies — let you rank by what actually resonated instead of by recency alone.
Only public posts are available. Protected accounts are not included, and no amount of configuration changes that.
What you can do with Twitter / X
- ✓Track competitor mentions and negative sentiment in real time
- ✓Identify buyers evaluating solutions from their public tweets
- ✓Build engaged audiences from hashtag and keyword searches
Twitter / X sources
Which Twitter / X source should you use?
Twitter is the right choice when speed matters more than depth. A launch reaction, a competitor outage, a trending complaint — this is where those surface first.
Reddit is the better choice when you need reasoning rather than reaction. A tweet tells you someone is frustrated; a Reddit thread tells you what they tried, what they rejected, and why.
LinkedIn Posts is better when professional context matters, because the author's role and company are attached to the post rather than inferred from a bio.
Many teams run Twitter and Reddit together on the same topic. They surface genuinely different people, and the overlap is smaller than you would expect.
What to know before you run it
Only public tweets and public profile data are collected. Protected accounts and direct messages are inaccessible.
Volume is high and quality is uneven. Without engagement or verification filters, a broad keyword returns a great deal of automated and low-value content — filtering is a data-quality necessity rather than an optimisation.
Sarcasm and joke posts routinely defeat automated sentiment reading. Skim intent-scored results before acting rather than trusting a score blindly.
Replying publicly to someone's complaint is a visible act. It works well when genuinely helpful and badly when it reads as opportunistic.
Frequently asked questions
- Can I use Twitter's advanced search syntax?
- Yes. The full query syntax is supported, so a query refined in Twitter's own advanced search can be pasted in and behaves the same way.
- How do I reduce noise?
- Filter to posts with engagement, and consider restricting to verified accounts. Between them they remove most automated content, and adding a language filter helps again on international keywords.
- How current are the results?
- Sorting by latest returns posts from minutes ago. This is the most real-time source on the platform, which is why it suits monitoring rather than retrospective research.
- Why is it only one credit per result?
- Each result is a single short post with its author profile — a small, cheap unit of data. That price is what makes continuous monitoring practical rather than a luxury.
Use cases built with Twitter / X
Competitor Intelligence
Your competitors are being discussed on Reddit, Twitter, and LinkedIn every day — by the exact buyers you're targeting. You're missing every one of those conversations.
See the workflow →Social IntelSocial Listening
The most qualified prospects aren't filling out forms — they're posting on Reddit and Twitter about exactly the problems your product solves. You're not seeing those posts.
See the workflow →Start pulling Twitter / X data today.
Credits only charged for results returned. Scout from $10/mo.
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