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.

What a Company's Hiring History Reveals About Its Tech Stack

Verifying the tools a company actually runs on is difficult, but not impossible. The information is public. You just have to know where to read it. Every time a company posts a job, it reveals a piece of its internal setup. A new marketing role that requires five or more years of a specific platform tells you the marketing team is almost certainly running that platform. Read the open roles before you reach out and you will know what a company uses today, instead of guessing. ## A single posting is only a snapshot One job posting is a useful data point, but it is still just a snapshot. It tells you what is true this month, not how the company got here or where it is going. The story gets much richer when you can see every job a company has posted over many years, not just the ones open today. With that history you can see: - How the tech footprint has changed over time, not just its current state. - How many people touch each tool, which hints at how deeply it is embedded. - What skill sets sit around a given tool, and therefore how it is actually used. - People working across multiple tools at once, which often signals integrations. - The hiring velocity around a specific tool, which hints at how strategic it is to the company. ## Why this beats guessing Most sellers approach a target account with assumptions. They think they know the stack because a competitor's logo showed up somewhere, or because of the company's size and industry. Hiring history replaces the assumption with something you can point at. Every conclusion has a posting behind it. That means you can walk into an account knowing what they run, how long they have run it, and how central it is, and you can market against that reality instead of a guess. The catch is scale. A human could read one company's postings. No human can hold fifteen years of postings across an entire market in their head. That is exactly the kind of work worth handing to a system that can. ## The short version A company's hiring history is one of the most honest, verifiable records of what it actually runs and cares about. Read the roles before the first call, and where you can, read the whole history, not just today's snapshot.

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