Splattr is built for any sales team that wins by reaching the right people with the right message, from founders and individual reps to full revenue teams. It's especially powerful for considered, research-heavy sales like consulting, staffing, and IT services, but customers across a wide range of industries use it to prioritize their market and personalize outreach at scale.

How is Splattr different from Apollo, ZoomInfo, Seamless, Clay, and Instantly?

Those tools are mostly contact databases and sending engines. They hand you names, emails, or a way to blast them. Splattr sits a step earlier: it's a targeting and scoring engine that figures out who is most likely to buy right now and why, then tells you how to start the conversation. Instead of a generic ICP list, Splattr researches every prospect through the lens of what you actually sell, layering in buying signals, hiring data, and tech stack to score and rank them.

How does Splattr find and score the right prospects?

You train an agent on what you sell, and Splattr scores prospects across your market by analyzing publicly available data like buying signals, hiring and job-posting activity, and technology footprint, all measured against your specific offer. Each prospect gets a score plus clear reasoning for why they ranked where they did, so you can prioritize with confidence.

Can I customize how prospects are scored?

Yes. Scoring is driven by the agent you train on each offer, so the criteria reflect your product, your differentiators, and your ideal buyer, not generic out-of-the-box filters. Companies selling multiple products can run a separate scoring lens for each offer.

What intelligence do I get on each prospect?

Every prospect comes with a score and the reasoning behind it, specific leverage points for your outreach, detected business signals (financial, strategic, and hiring/job changes, with sources), hiring metrics, and the company's technology footprint. It's the research that used to take 30+ minutes per prospect, ready in seconds.

Does Splattr integrate with my CRM and outreach tools?

Yes. Splattr offers a direct HubSpot integration so your scored prospects flow straight into your CRM, with Salesforce support coming soon. You can also export any list to CSV to use in other outreach tools.

How does pricing work?

Splattr is $12 per seat per month to keep your account active, and everything else runs on credits, so you only pay for the prospecting you actually do. You can go fully pay-as-you-go at $0.0299/credit, or save with a credit bundle (down to about $0.017/credit). All features are included on every plan.

What does each action cost?

Different actions use different amounts of credits: Find & score a prospect — 8 credits Look up a LinkedIn profile — 4 credits Find contacts at a company — 2 credits Research report — 8 credits Company report — 20 credits Email lookup — 6 credits Phone lookup — 15 credits Chatting with Splattr's AI assistant also uses credits, based on how much you use it.

Is there a free trial, and how do I get started?

Yes. You can score your first prospects free, no credit card required. Just tell Splattr what you sell, answer up to nine quick questions to train your agent (about 3 minutes), and you'll have scored, prioritized prospects in under 10 minutes.

How quickly will I see results?

Most users go from signup to their first qualified, scored prospects in under 10 minutes, and start personalizing outreach the same day.

How is my data handled and kept secure?

Splattr scores prospects using publicly available data, and we treat your account data as your own. We don't sell your data or use your content to train models that benefit other customers. Your data is hosted on Amazon Web Services in the United States, encrypted in transit and at rest, with role-based, least-privilege access controls. Payments are handled by our PCI-compliant processor, and we never store your card details. Full details are in our Privacy Policy and Data Processing Addendum.

Can my whole team use Splattr together?

Yes. Teams get a shared full-team view and can share campaigns across users, so everyone works from the same prospecting engine. On the Business plan you also get a shared credit pool, per-user spending controls, and dedicated support.

Your Prospect Score Should Show Its Work

Most AI prospecting tools hand you a score and ask you to trust it. An 87, a "hot" tag, a ranking with nothing underneath it. You are supposed to take the number on faith. That is a problem, because a score you cannot inspect is indistinguishable from a score that is wrong. ## A score is only as good as its evidence A prospect score should show its work. Every signal behind the number should carry a date and a source you can open and check for yourself. - The funding news, with the announcement behind it. - The new executive, with the profile that confirms it. - The warehouse lease, the new software purchase, the jump in hiring velocity, each pointing back to where it came from. When the evidence is attached, the score stops being a black box and becomes a claim you can audit. A rep never has to take the tool's word for it. They can read the actual reasons a prospect ranked high and decide for themselves whether those reasons hold up. ## Why this matters before the call Verifiable evidence changes what happens right before outreach. Instead of trusting a number, the rep confirms the reason to reach out, and then uses that exact reason as the opening of the message. That is the difference between "the tool said this account is a 90" and "this account just signed a new lease, posted three operations roles, and brought on a VP of supply chain, so here is why I am calling." One is a leap of faith. The other is a briefing. It also builds trust in the system over time. When a rep can check the reasoning and it holds up again and again, they start to rely on it. When they cannot check it, they quietly go back to their own gut. ## The takeaway The value of a prospect score is not the number. It is the evidence you can trace behind it. Demand a score that shows its work, because the reasons are what a rep actually acts on, and a reason you cannot verify is not worth much when it is your time on the line.

Put this into practice