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.

A Good Prospect Depends on What You're Selling

A good prospect is not always a good prospect. It sounds like a contradiction until you add the missing variable: the offer changes what matters. Take one company. It might be a strong fit for ERP implementation staffing, because it is hiring enterprise application leaders, modernizing its systems, and showing other signs of internal change. Those exact signals make it a great prospect for that specific offer. The same company could be a weak fit for a different offer, where none of those signals line up with what you are actually selling. Same account, opposite conclusion. The only thing that changed is what you brought to the table. ## Why static scoring breaks down This is the flaw in a single, fixed prospect score. Static scoring treats "good prospect" as a property of the account itself, as if quality were something you could measure once and reuse for everything. But quality is relative to the offer. A signal that screams "reach out now" for one thing you sell is irrelevant to another. If your scoring cannot change its answer when the offer changes, it is measuring the wrong thing, and it will confidently point you at accounts that fit nothing you are currently selling. ## Score through the lens of the offer The fix is to evaluate each account through the lens of the specific offer you are bringing right now. Not "is this a good company," but "is this a good company for this thing, given what is currently true about them." That means the same territory can and should re-rank when you switch from one offer to another. The account that topped the list for one motion might drop for the next, and a name you skipped last time might rise. That is not the scoring being inconsistent. That is it being correct about a world where fit depends on what you are selling. ## Why it matters Stop asking whether an account is a good prospect in the abstract. Ask whether it is a good prospect for the specific offer in your hand today. Any scoring that cannot tell those two questions apart is going to send you after the wrong accounts with confidence.

Put this into practice