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 "We'll Build That Internally" Rarely Ships

Our biggest competitor is not another vendor. It is a sentence: "We are building that internally." It almost always starts the same way. A sales team begins using AI to research accounts and prospects. It works well enough that they want more, so it slowly evolves into a tool of its own, one that needs better data, more structure, and real maintenance. ## The build that never finishes Then the build begins, and the build has a way of expanding. - Plug-in and vendor evaluations take months. - Every rep has new feature requests. - Those requests lead to more evaluations. - New models keep coming out, so the foundation keeps shifting. - Compliance and governance get more complex. - Orchestration and maintenance quietly become more than a full-time job. - Costs rise with every change. For months, the conversation stays stuck at "we are building that," without much clarity on where "that" actually is. Everyone can picture the finished system. Very few can tell you when it will exist. ## I know because I tried This is not an outsider's critique. It is why I left my full-time job and put a team together in the first place. I spent two years trying to build this for myself before I accepted the thing that makes internal builds so hard: there is never a "done." Everyone wants an AI that finds their warmest leads. Almost no one is signing up to own and continuously improve that effort for the long haul, through every new model, every new data source, and every new edge case. ## The pattern with internal builders The people who have tried to build their own GTM agents tend to understand this fastest. The story usually goes: you see a post promising that ten plug-ins replaced a whole sales team, you try it, and for a moment it looks like progress. Then reality shows up. The agent breaks the second a prospect does not fit the happy path, the outputs are inconsistent, and you spend more time fixing the system than selling. A week later you are back to doing it by hand. None of that means the ambition was wrong. It means owning the whole system, forever, is a different commitment than most teams realize when they start. ## The short version If your team is deep in "we are building that internally" and cannot quite say where "that" is, that is not a failure of effort. It is the nature of a project with no finish line. The honest question is not whether you could build it. It is whether you want to own and maintain it for the next several years, or whether your time is better spent selling.

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