Fundamentals of Kaiju

You're signed up and ready to find high intent accounts, after your onboarding you’ll be redirected to your workspace. Currently Kaiju has nothing to research, you’ll be able to start monitoring accounts after your first import. The core of Kaiju comes down to one import and one decision about where the results should live.

Today we’ll cover the basic fundamentals of the Kaiju platform, from the file you upload to the accounts that arrive ready to work. Along the way we'll define the terms you'll see most often: observation, signal and buying window. They're easy to mix up, and the difference between them is most of what makes Kaiju useful.

Start with a list you trust

Kaiju works from your ideal customer profile. You bring a CSV of accounts that fit it, import the file into your workspace and designate a list location for it. That's the setup step, and nothing fills the workspace until you do it.

Kaiju can only research the accounts you give it, so the list is where your own judgment matters most. If the CSV is full of companies that were never a good fit, you'll get well-organized findings about companies you didn't want to sell to. A little pruning before the import saves you from reading about accounts you would never contact.

What happens after you import

Once the list is in, you can leave it alone. Kaiju researches your accounts in the background, and it keeps reviewing and updating them whenever new observations become available. That ongoing review matters. Most account data you can buy is a snapshot taken at some earlier date, and by the time you act on it the account may have changed. Kaiju reads the accounts as they are now and tells you what moved.

What it collects are observations. An observation is a change on an account: a different tool in their stack, or a funding announcement. On its own, an observation is not a signal. It tells you something moved, not whether anyone is ready to buy. A company can hire a new head of sales for reasons that have nothing to do with what you sell, and a funding round doesn't mean budget is open for your category.

Kaiju keeps gathering observations and uses them to build your signal list.

Buying windows

When the initial research is finished, Kaiju shows you the accounts that are in a buying window. A buying window is a group of observations that together point to the right moment for that account to consider buying. The word that matters is multiple. One observation is background noise until another one lands next to it.

Here's a made-up account to make that concrete. In one review, Kaiju sees that the company has replaced part of its tech stack. A few weeks later it announces funding. Around the same time, a new leader joins the department that would own your product. Any one of those could be coincidence. Together they describe a company that is changing how it works and has money to do it. That's a buying window, and that's the account you want to reach first.

Accounts that haven't reached a window stay on your list, and Kaiju keeps reviewing them. They aren't ready yet, and that can change when a new observation arrives.

Who to contact and what to say

The same observations that put an account in a window also tell you who to contact at that company and which angle to take. The observations are the reason for the outreach, so your first message can open with what actually changed instead of a generic line about your product.

Think about how this usually goes without it. Someone reads through an account, guesses who owns the problem, and builds an approach from a website and a LinkedIn profile. That takes real time per account, and it's the first thing to slip when the list gets long. Kaiju does the reading as part of the result, so the contact and the angle arrive with the account.

Getting accounts out of Kaiju

Buying window accounts are available to orchestrate through webhooks and integrations. The list doesn't have to stay inside Kaiju. You can route those accounts into the tools your team already uses, such as your CRM or a sequencer, and let your existing process take it from there.

Each account comes with its metadata and contextual information, so whoever picks it up isn't starting from scratch. An SDR can see why the account is in a window before writing a word. An AE preparing for a first call can see the same history.

Your revenue team gets what it needs to act without going back to research the account again.

Two habits worth building early

Don't treat observations as leads. An observation is a hint, and reaching out on a single hint is how you end up with an opener that feels generic to the person reading it. The buying window is where the hints paint the bigger picture, so work from windows first.

Kaiju’s platform is designed to provide a growing list of actionable accounts, each with a clear reason to be there and worth more than a long list of names.

The reason is what your reps will use, and a name alone gives them nothing to say.

Where to start

Pick the list you would work first if you had a free week. Import it, designate its location and let the first research pass finish. When buying window accounts appear, read the observations behind two or three of them before you send anything. You'll learn what a real window looks like in your market, which is worth more than any definition we can give you here.

Then route the rest to your team and start the conversations.

Happy hunting!

Import your first list