How to find companies showing buying signals with PredictLeads

You find companies showing buying signals with PredictLeads by searching its company events for the kinds of change that create a need for your product, then keeping only the recent events at companies that fit your customer profile. PredictLeads watches news articles, press releases, and job boards and turns what it finds into structured records. Each news event has a category, the date PredictLeads found it, a one-sentence summary, and the article it came from. Each job posting links to the board where it was listed.

PredictLeads sorts news events into 37 categories, grouped into families like these:

• Investment, such as receiving financing, going public, or reporting revenue.
• Expansion, such as opening a new location, expanding offices into a new city, or growing headcount.
• Leadership, such as hiring, promoting, or losing an executive.
• New offerings, such as launching a product or developing a new one.
• Contracts and partnerships, such as signing a new client, losing one, or partnering with another company.

It also keeps separate datasets for funding rounds, with the round, amount, and investors as their own fields, and for job openings, which can be narrowed by role category and seniority. A company that just raised money has budget to spend. One that is hiring its first head of marketing is about to buy the tools that person needs. These events are what sales teams mean by buying signals.

PredictLeads sells this data through an API and as bulk data feeds, so working with it directly means writing requests against its endpoints and processing what comes back. Its market-wide event search lets you narrow by event category, where the company is based, and company size, but it doesn't take a date range. It can return an event from two years ago next to one from last week, so you have to read every date yourself. The event records also hold only their own details, and the company name and the source article sit in a separate part of the response that you have to match back to each event.

A good result is not the longest list of companies with an event. It's a short list where every company fits your customer profile, the event is recent enough to matter, and the reason is written down with its source so whoever reaches out can mention it. A signal tells you when to reach out, but it doesn't tell you whether the company is worth reaching. You need both.

Kite does this work for you. It chooses the events that match what you sell, filters out the stale ones, checks each company for fit, and hands back a list where every row explains itself.

Start by telling Kite in Slack what kind of companies you want and, if you know, what kind of change makes them ready to buy:

"Find companies with 50 to 500 employees in the US that raised money in the last three months."

Or describe the outcome and let Kite choose the signal:

"Which companies in our market have a reason to buy from us right now?"

Kite is an AI marketer in your Slack. It researches your business, builds a growth strategy, and ships the work that brings you new customers. By the time you ask, it already knows your ideal customer profile, your current customers, and your competitors from that research. That lets it propose which events to search for, which locations and company sizes to include, and how far back a signal still counts. Confirm the plan or adjust it, and Kite starts.

PredictLeads is built into Kite, so you don't need a PredictLeads account or an API key to begin. Kite searches through its own connection. If you want Kite to use your own PredictLeads account, you can add its API key.

Kite starts by choosing the events that create a need for your product, because the right signal depends on what you sell. A funding round suggests a company has new budget. Office openings and headcount growth suggest it's scaling and needs more tools, more hires, or local partners. A new executive often reviews the vendors their team uses in the first few months. When the hiring itself is the signal, such as a company staffing its first marketing team, Kite searches job postings instead of news.

Kite names the event categories it wants rather than asking for everything. Some PredictLeads categories describe something that happened to the company, like a funding round or a product launch. Others describe a relationship mentioned in an article about someone else, such as being named a competitor or a partner of another company. An unfiltered search returns both kinds, and only the first kind is a reason to reach out.

Kite searches across the whole market for companies whose recent events match the categories it chose. For news events, it narrows the search by the country or US state where the company is based and by company size, using PredictLeads' size bands, from one-person companies through companies with more than 10,000 employees. It puts every part of your profile that PredictLeads can filter on into the search itself, so it isn't sorting through companies that were never a fit.

For hiring signals, Kite searches job postings across the market by seniority, from founder and C-level roles down through vice president, head, director, and manager. It can also narrow by a standard occupation code, such as the one for marketing managers, and by location. It can limit the search to roles that are still open. PredictLeads has no free-text job title filter, so Kite translates the role you describe into the seniority level and occupation that match it.

Kite reads the date on every event and drops anything older than about 90 days, because an event that old is no longer a reason to reach out today. PredictLeads' market-wide news search returns events of any age, so this step decides whether the list reflects what is happening now. For hiring searches, Kite passes a start date to PredictLeads directly, and that search only reaches back about a year.

When a company has several recent events, Kite keeps the strongest and most recent one as the company's main signal and notes the others. A company that raised a round and opened a new office in the same month has a stronger reason to buy than one with a single event.

Kite keeps only the companies that would be good customers whether or not they had an event, because a signal is a reason to contact someone, not a substitute for fit. It checks each company against your customer profile, including its industry, size, location, and business model. It also removes your existing customers, your competitors, and companies that have asked not to hear from you.

Kite looks up each remaining company by its website domain to confirm and fill in the signal. The details it reads depend on the kind of signal:

• Funding. Kite reads the company's funding rounds, with the round, the amount, the investors, and the articles that reported them.
• Hiring. Kite reads the company's open job postings, narrowed to the role categories that matter to you, such as marketing or sales, and keeps the link to each posting.
• News. Kite reads the company's recent events in the categories it chose, each with its date, its one-sentence summary, and the article behind it.

This is also where Kite checks what the summary alone can't tell it. The location filter describes where a company is based, not where its new office is, so Kite reads the article to confirm where the company is actually expanding. It reads earlier events to see whether something that looks new, like a first office in a country, really is.

For the companies that pass, Kite can also check whether they're running ads, best fit first. A company that just raised money and is already advertising is usually spending on growth right now.

When the work is done, Kite posts the list in the Slack thread where you asked, with a short summary of how it got there. The summary says which signals it searched for, how many companies it found, and how many it dropped for old events, poor fit, or because they're already your customers or competitors. If fewer companies qualified than you wanted, Kite says how many it found and why the rest fell short. A short list of good accounts is worth more than a padded one.

From there, Kite can find the right people to contact at each company and their work email addresses, and draft outreach that opens with the company's signal. It can save the accounts to a CRM or spreadsheet you've connected. If you want new signals regularly, ask Kite to repeat the search on a schedule, such as every Monday morning, and it posts each week's new companies in the same thread.

When Kite finishes, you have a list of companies that fit your customer profile and have a recent, sourced reason to hear from you.