Your First Week With SignalRaven: A Day-by-Day Guide

TL;DR

The free trial includes 2,500 credits, requires no credit card and isn't limited to a fixed number of days. SignalRaven drafts your ICP and first sources from your company page and website.
By the end of your first week, you should know three things: whether SignalRaven is finding the right people, whether the signals give you useful context, and which sources are producing the most relevant activity.
Day 0, start. Day 1, understand your first signals. Day 2, act on the strongest ones. Days 3 to 5, tune what they taught you. First Monday, learn from the digest and change one thing for week two.

A SignalRaven free trial costs $0, comes with 2,500 credits and has no fixed end date. Signup takes two steps and skips the credit card. You won't be asked to connect your LinkedIn account either: SignalRaven doesn't require your LinkedIn login, cookies or session.

SignalRaven's job isn't to tell you that everyone who engages is ready to buy. It's to find relevant activity, understand the person behind it and give you enough context to decide what deserves attention. Your first week is for learning what that looks like on your own market.

Day 0: Start

Pick a one-click sign-in button, or enter your work email and click "Continue with email."
On the screen headed "Last step before your signals arrive," enter your name, title, company website and your company's LinkedIn page URL. Use the /company/ URL, because the form rejects personal profiles. Click "Start my trial."

Email signups get a sign-in link after step 2. Your trial moves ahead once you click it to verify your address.

Next, SignalRaven reads your company page and website and drafts your ICP: titles, exclude titles, personas, industries, company size and locations. It adds your own page, competitor pages and up to 20 keyword searches as sources.

That's all the setup you do. A "You're in" email arrives when your workspace goes live, and its link signs you straight in. Your first signals email follows once signals land.

Day 1: Understand your first signals

Look for a subject like "Your first 3 signals are in." It goes out once three signals are in, or with one or two when volume is thin. Count day 1 from the day it lands. Each signal in it lists the person's name, title, company and a strength score from 1 to 10. The portal shows the same score as Urgency, and the Google Sheets column and webhook field carry it as strength.

Expect a short list. In SignalRaven data, about 1 in 30 people who engaged with a monitored LinkedIn post became a qualified signal. The 14-stage qualification process sets aside the rest: staff at the companies whose pages you watch, people at competing vendors and people outside your ICP.

Open a few signals in the portal before you contact anyone. You'll understand the product much faster by seeing what qualified and why. On each one, look at:

Person. Who engaged, what do they do and where do they work?
Source. Why was SignalRaven watching this conversation?
Post. What topic or problem was being discussed?
Engagement. Did they react or comment?
ICP fit. Why did this person qualify? The breakdown shows each dimension.
Urgency. How much attention does this signal deserve?
History. Has this person or company appeared before?
Why it matters. What context did SignalRaven add?

Don't confuse ICP fit with urgency. ICP fit evaluates how closely the person matches who you're trying to reach. Urgency helps prioritize the signal based on its context and surrounding activity, including earlier signals from the same person or company. A strong ICP match and a high-urgency signal tell you different things.

Then check the setup. For a walkthrough, see the getting-started guide.

ICP. Click your email at the top right to open your account, then choose ICP settings. If a drafted title is plainly wrong, fix it now. Save finer changes for day 3. The ICP guide explains how the five dimensions score.
Sources. The Sources page shows how many suggested sources are active against your trial's cap. Competitor mention sources start switched off, and some keyword searches may start paused. Leave both for now.
One destination. In Destinations, choose "Connect Slack" for Slack and pick a channel. Or share a Google Sheet with the SignalRaven service account as an Editor. Leave routing on "All" so every signal reaches it.

Day 2: Act on the strongest signals

Open Signals and sort by the Urgency column. Start with a small number of signals that clearly fit your ICP and have enough context to act on. Three to five is enough to learn from. Signals at urgency 5 and above carry talking points, so that group is the natural place to start, but a strong fit at urgency 4 is still worth reading.

Don't dismiss a signal because it started with a reaction. In SignalRaven data, about 85% of qualified signals begin that way, and reaction and comment signals average about the same urgency. A reaction doesn't tell you what the person thinks, so SignalRaven doesn't pretend it does. The value comes from the surrounding context: who the person is, what post they engaged with, how they fit your ICP and what other activity exists around the person or account. Leave the "Type" filter on "Any," or you'll hide most of your list.

Talking points are starting context, not a script. Review them against the original post and the person's role before using them.

The reaction tells you the topic caught their attention. It doesn't tell you why. Use the post as context for research and conversation, not as proof that the person has the problem.

Fictional example. A Head of Finance Operations at a 450-person online marketplace reacts to a post about month-end close slipping when seller payouts run through several processors. You sell reconciliation software. The signal gives you a person, a role, a company size and a topic. If you reach out, open on the topic and ask rather than assume: "Month-end close across more than one payout processor came up in that thread this week. Is that something your team deals with?"

Acting on a signal doesn't always mean a message. It might be an account note, a CRM update, a heads-up to the account owner or a decision to keep watching. Log whatever you do. On the Tags page, create a "Status" category with values like "Contacted," "Replied" and "Watching," then tag each signal. Tags work on every plan.

Days 3 to 5: Tune what the first signals taught you

Ask what's wrong before you change anything. The first signals usually point at one of these:

What you're seeing	Where to look
Wrong people	Adjust the ICP
Right topic, wrong crowd	Adjust the source or the keyword search
Too little activity	Add another source
Relevant people, weak context	Try a different source type
One account appearing repeatedly	Investigate the account

Tune one ICP setting. Add an exclude title that keeps showing up, tighten the employee range or switch on "Exclude influencers" to keep consultants, agencies and systems integrators out. Scoring thresholds need the Scale plan, so leave them as drafted. If a change backfires, "Reset to AI defaults" restores the original draft.

Judge sources by their job. Different source types do different jobs. Company and person sources monitor audiences you already know matter. Keyword sources help discover conversations beyond those known audiences, so they naturally cast a wider net. If a particular keyword search consistently produces noise, improve it or test another source. Don't judge the entire source type from one search. For better searches, see keyword searches that find the right signals.

Add the sources your audience follows. Click "Add source" and choose "Posts written by specific people" for the creators and executives your target audience follows. An industry voice or a competitor's CEO is a good start. For a partner or platform vendor whose audience includes people who fit your ICP, choose "A company's LinkedIn page." Each source takes a slot under your cap, so pause a search that isn't earning its place to free one.

Have an important conference coming up? Add it as a source. Conference Intelligence surfaces relevant LinkedIn activity around the event before, during and after it, then runs those people through the same qualification process as your other sources. A trial user may get more immediate value from an active industry event than from a generic keyword. The sources guide covers the setup.

Watch for signals that start to stack. A single signal is one data point. As SignalRaven runs, pay attention to people and companies that appear more than once. Previous signals from the same person or company contribute to urgency on every plan and can reveal patterns that aren't visible from one engagement alone. Pro and Scale add the signal stack view on each signal. When one account keeps showing up, run Account Intelligence on it (trial, Pro and Scale) to see the relevant stakeholders and their recent signals. Individual signals tell you what specific people are doing. The company view helps you see when activity is accumulating across an account.

Your first Monday: See what you learned

The digest arrives every Monday and covers the previous seven days, so the first one may land before or after day 7. It opens with signals delivered, average ICP fit, a suggested next step and your top accounts. On a trial, the bottom matters too. "The pipeline behind it" counts posts watched, engagements harvested, engagers evaluated and signals delivered, so you can see which stage thins your volume. "Trial credits" shows what's left and about how many days that lasts at your current pace. Billing admins also see the paid plan that fits that pace.

Use the digest and the Signals page to answer seven questions:

Coverage. Did SignalRaven find relevant conversations?
Qualification. Were the people actually in your ICP?
Sources. Which sources produced the strongest signals?
Topics. What subjects generated relevant engagement?
Accounts. Did any companies appear more than once?
Actionability. Which signals gave you enough context to do something?
Outcome. If you acted on signals, what happened?

If you contacted anyone, note what happened. Don't treat a handful of first-week messages as a response-rate benchmark. The more useful first-week question is whether the signals gave you relevant people and credible reasons to engage.

Then change one thing for week two, and open the Team page to invite the teammate who owns the accounts that showed up. Every active user gets the digest, so they'll see next Monday's.

Three things not to do in your first week

Don't rewrite your entire ICP on day 1. See what the drafted setup produces first.
Don't filter out reactions. Most qualified SignalRaven signals begin with reactions.
Don't assume every signal means someone is ready to buy. A signal is context worth evaluating, not proof of purchase intent.

How trial credits work

Trial credits pay for pipeline work at these rates:

Pipeline step	Credits
A post surfaced for evaluation	1
An engager evaluated against your ICP	1
A qualified signal delivered	3

A signal doesn't have a flat all-in cost. Credits are consumed as SignalRaven works through the pipeline, including the posts it evaluates, the engagers it evaluates and the qualified signals it delivers, and several engagers may be evaluated from one post before one qualifies. Collecting comments and reactions is charged per item. The Usage page's "Where credits go" panel lists that step as Engagement harvests and shows each step's current rate.

You get an email at 80% used and again at 100%. At zero, the pipeline pauses and new signals stop. If you upgrade before then, the credits you have left carry into your first paid month.

SignalRaven free trial FAQ

How long does the SignalRaven free trial last?

There's no end date. The trial runs until you've used the 2,500 credits. If 30 days pass with no portal login and no signal delivered to a destination, SignalRaven pauses the trial. Support can reactivate it.

Do I need a credit card to start a SignalRaven trial?

No. The trial is $0, and signup asks for no payment details.

How many SignalRaven credits does a signal use?

A delivered signal costs 3 credits, plus the credits for the posts and engagers evaluated behind it. There's no flat all-in cost per signal.

What happens when my SignalRaven trial credits run out?

The pipeline pauses and new signals stop. You aren't charged. An email at 80% used warns you, and another arrives at 100%. The pricing page compares the paid plans.

Why is SignalRaven finding only a few signals in my first week?

Most engagers don't qualify. The qualification process sets aside staff, people at competing vendors and people outside your ICP before anything reaches your feed. To raise volume, add a source whose audience includes people who fit your ICP.

Should I skip SignalRaven signals that started with a reaction?

No. Most qualified signals start with a reaction, and reaction and comment signals average about the same urgency. The context around the reaction is what makes it useful.

Do I need to connect my LinkedIn account to SignalRaven?

No. SignalRaven never asks for your LinkedIn login, cookies or session. It reads public LinkedIn activity from its own infrastructure.

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