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.

Why a Specific Offer Beats a Generic ICP in Prospecting

The fastest way to get bad prospecting results is to describe what you sell in high-level terms. Say you run a staffing firm and you describe your offer as "we place people at companies that have needs." Every account is going to score somewhere in the middle, because you sound like every other firm and almost every company has needs somewhere. Nothing rises to the top, because nothing was specific enough to separate it. ## Specific inputs make priorities obvious What you want are narrow, concrete examples of what you actually do well. "I have this person I need to place." "I have this case study I need to replicate." "This team is coming available in 30 days, and here is exactly what they can do." Feed in that level of detail and your priorities get diverse in a hurry. The accounts that genuinely match the specific thing you are good at pull away from the ones that only match in the abstract. Vague inputs flatten your list. Specific inputs rank it. ## Prospecting changed shape It used to be that prospecting meant a filter. "Find me CIOs in manufacturing with open technology roles." That is a firmographic query, and it treats everyone who matches as equal. The stronger version starts from something real you have in hand and works outward: "This team is coming available in 30 days. Here are their resumes. Find me accounts that use the tech on those resumes, that are going through the kinds of problems these people already solve, and that need help right now." That is not a filter. It is a specific match between a specific capability and a specific need. It is also the difference between a list of names and a list of reasons. ## Why it matters If your prospecting is returning a wall of accounts that all look equally good, the problem is usually the input, not the tool. Describe the exact offer, the exact outcome, the exact person or case study, and the good-fit accounts stop hiding in the middle of the pack.

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