How to Find Companies That Are Actively Evaluating New Software

Most B2B sales advice tells you to track job postings, watch for funding rounds, or monitor LinkedIn activity. And yes, those are signals. But here's the problem your pipeline has been paying for quietly: by the time you see a job post for a "Head of Customer Experience" or a Series B announcement, so has everyone else in your space.

Your outreach lands in a crowded inbox. Your SDR is the fifth call that week. The timing was never yours to begin with.

There's a better signal. And most teams have never seen it.

Why Standard Prospecting Signals Miss the Actual Buying Window

When a company is genuinely evaluating new software, they don't announce it. They don't post "we're reviewing our tech stack" on LinkedIn. What they do instead is start a trial.

A competitor trial is the clearest, most direct evidence of active software evaluation that exists in B2B. It's not a prediction. It's not a proxy. It's a company that opened an account, entered card details, and started running a product through its paces. That's a buying motion, visible, real, and time-bound.

The standard signals, e.g. job posts, funding alerts, intent content downloads, are valuable, but they're downstream of the actual decision. A company in active evaluation mode isn't reading blog posts about your category. They're comparing your product against three others.

If you reach them during a competitor trial, you're in the conversation. If you reach them two months after they renewed, you're wasting a call.

That gap between when evaluation starts and when you find out, is where pipeline goes to die.

What Does "Actively Evaluating" Actually Look Like?

Understanding how long the evaluation window actually stays open matters more than most teams realise. Here's what it looks like in practice for a B2B SaaS company making a software switch:

Week 1–2: Internal frustration reaches a tipping point. A stakeholder requests demos or signs up for a free trial. Evaluation begins quietly.

Week 3–5: The team is comparing two or three tools. Stakeholders are attending demos, building business cases, pulling pricing.

Week 6–8: A decision is close. Budget approval is sought. The window for a competitive insertion is nearly closed.

Most teams discover the evaluation is happening somewhere around week 7. The prospect is already mentally committed. Your outreach feels like an interruption rather than a solution.

The companies worth chasing are in weeks 1–4. That's your window. The question is: how do you see into it?

How to Find Companies That Are Evaluating New Software Right Now

Here's how the most effective GTM teams identify in-market accounts, ordered from least to most reliable:

1. Job postings and funding news (lagging signals)

Monitoring for "VP of Customer Success" hires or new funding rounds can indicate a team is building out infrastructure, and that infrastructure might include new software. Use tools like LinkedIn Sales Navigator, Crunchbase, or news alerts.

The limitation: These are correlation signals, not causation. A new hire doesn't mean evaluation. A funding round doesn't mean your category. And there's typically a 30–90 day lag between the trigger event and the job posting going live, Indeed's Hiring Lab data shows the average time-to-fill a position is 41–48 days, meaning a posted role already represents weeks of elapsed decision-making before it's publicly visible.

2. G2 and review site activity (weak real-time signal)

Some intent data platforms surface when a company's employees are browsing competitor profiles on G2 or Capterra. This indicates category awareness, someone is looking around.

The limitation: This is anonymous web behaviour. You can't verify who was browsing, whether they're a decision-maker, or whether they're in active evaluation vs. just curious. Intent scores based on review site activity have a high false-positive rate, Forrester research on intent data providers found that 50% of B2B teams using intent data report seeing too many false positives for accounts showing intent.

3. Content consumption signals (weakest intent)

A company downloads your competitor's "ultimate guide to customer support software." Sounds promising. But content downloads correlate almost as often with existing customers doing research, junior employees learning the category, or analysts building benchmarks.

The limitation: Content consumption doesn't indicate purchase readiness. It indicates topic awareness. These are not the same thing.

4. Competitor trial detection (strongest signal)

When a company starts a trial of software in your category, they are by definition evaluating. There's no ambiguity. No inference needed. The signal is: this company, at this point in time, is actively testing a tool like yours.

If you're a Customer Support SaaS vendor and your prospect just started a trial of Intercom or Zendesk, you have a short, precise window to make your case. Competitor trial detection is the closest thing to real-time, evidence-based evaluation intelligence that exists, and the strongest signal that a prospect has entered a genuine buying window. For a deeper look at how timing signals map across GTM roles, see Timing Intelligence 101.

What Makes Competitor Trial Signals Different From Intent Data?

This distinction matters if you're building a prospecting stack and wondering where to allocate budget.

Traditional intent data platforms (Bombora, 6sense, G2 Buyer Intent) aggregate anonymous web behaviour signals and score them. Those scores tell you a company is "surging" on a topic, not that they're evaluating.

Competitor trial detection tells you a company has entered a buying motion. That's a fundamentally different conversation you're walking into.

How to Build Your "Evaluating Right Now" List

Once you understand what signals to chase, here's the practical process:

Step 1: Define your evaluation window. For your category, how long does a typical software evaluation take? In Customer Support SaaS, active evaluations typically run 30–60 days. That's your outreach window.

Step 2: Identify which competitors your prospects trial first. Not every competitor trial is equal. A company trialling your closest alternative is a much warmer signal than one trialling a tangentially related product. Know your competitive set and prioritise accordingly.

Step 3: Layer ICP fit on top of the signal. A trial signal without ICP context wastes effort. A 10-person startup trialling Zendesk is not the same opportunity as a 150-person CS team doing the same thing. Combine the timing signal with firmographic fit to score and rank accounts using a Tri-Score model.

Step 4: Reach out in the first two weeks. This is the most important step most teams skip. The longer you wait after trial detection, the lower your odds. In the first two weeks, the prospect is still forming opinions. After week four, they're usually close to a decision.

Step 5: Lead with the signal, not a pitch. "We noticed you might be evaluating tools in this space" is not a cold open. It signals awareness without being creepy, creates instant relevance, and opens a door the prospect is already walking through.

What to Do With This Intelligence Inside Your Workflow

Finding evaluating companies is only half the job. The other half is making sure the signal reaches your rep at the right moment, not buried in a weekly report they ignore.

The most effective sales teams surface evaluation signals:

• In the CRM record itself: A flag that says "competitor trial detected" next to an account is impossible to miss
• In Chrome, during prospecting: When an SDR views a prospect on LinkedIn or in HubSpot, the signal appears inline
• As a daily digest: A prioritised list of accounts that entered evaluation mode in the last 24 hours

The signal is only as good as how fast it reaches the person who can act on it.

Your Next 10 Pipeline Opportunities Are Already Moving

Right now, companies in your ICP are starting trials of your competitors. They're comparing, evaluating, and building business cases. Most of them will make a decision in the next 60 days, with or without ever hearing from you.

The question isn't whether the signal exists. It's whether you're seeing it in time.

See which companies in your market are evaluating right now. Start with 500 free Qualified Opportunities at marketsizer.io.

Frequently Asked Questions

How do I find companies that are actively evaluating new software?
The most reliable method is competitor trial detection, identifying when a company starts a trial of a tool in your category. This is a direct evaluation signal, unlike indirect proxies like job postings or content downloads. Platforms like MarketSizer surface real-time competitor trial events across 154+ SaaS vendors.

What signals indicate a company is ready to buy software?
The strongest indicators are: competitor trial activity, renewal dates approaching for their current tool, recent negative reviews posted about their existing vendor, and headcount changes in the relevant team. Competitor trials are the most direct because they represent an active decision process, not a prediction.

How early can I identify a software evaluation?
With competitor trial detection, you can identify an evaluation within days of it starting, often before the prospect has attended a second demo. With traditional intent data, you typically identify interest 4–8 weeks after evaluation has begun, when intent scores accumulate enough to surface. Gartner's B2B buying journey research confirms that buyers spend only 17% of their total purchase time interacting with any vendor, the rest is self-directed research that traditional intent platforms can only infer after the fact.

Is tracking competitor trials legal and ethical?
Yes. Subscription intelligence platforms aggregate publicly observable data about software usage patterns, they do not access private company systems. The data reflects market-level signals about which vendors companies are trialling, not individual employee activity.

What's the difference between intent data and evaluation signals?
Intent data infers interest from anonymous web behaviour, e.g. content consumption, ad engagement, review site browsing. Evaluation signals are direct evidence of a buying motion, like a competitor trial or renewal event. The former tells you a company might be interested; the latter tells you they're actively deciding.