Data consulting & data science lead generation that fills your pipeline with qualified buyers.

Outreach starts in week one. List build, messaging, and target-account research finish during onboarding so day one of the engagement is dialing day — we don’t ramp by quarter. First qualified appointments typically land within the first week, with steady weekly cadence by week three. Your AEs see meetings on the calendar before most agencies have finished writing their kickoff deck.

Three-point standard, and all three must be met. Verified pain — the prospect has named a specific forecasting, infrastructure, or analytics problem, not just expressed curiosity about “doing more with data.” Decision authority — they can sign for it, or they’re one of two people who can. Active timeline — they’re evaluating in the next 90 days, not “someday next year.” Anything short of all three doesn’t make your AE’s calendar. Most agencies count anything with a pulse as a “lead.” We don’t.

Yes — our client mix spans both. A boutique ML shop and a full-service analytics consultancy have different sales motions (specialist depth vs. breadth of platform), different value propositions, and different objection patterns. We tune the messaging and qualification standard to your model — not a generic “data” pitch that fits neither.

We sequence engagement by stakeholder. The data engineering or analytics lead enters first — they’re the ones who’ll vet your technical fit and approach. The business sponsor and finance enter later, at the ROI-and-terms stage. Our SDRs stay involved through the nurture phase so the handoff to your AE doesn’t reset the conversation. A deal that takes nine months can’t survive being thrown over a wall at month three; our model is built so it doesn’t have to.

Mid-market through enterprise — most clients land between $5M and $500M in revenue. The common thread isn’t size, it’s sales infrastructure: you need an existing principal, AE, or solutions team capable of scoping an engagement and closing a statement of work once qualified meetings hit the calendar. If you’re earlier-stage without that motion in place, we’ll tell you upfront.

Onboarding runs five to ten business days from kickoff. We use that window to build the target account list, finalize your messaging, train SDRs on your service lines and platform expertise, and integrate with your CRM. Most kickoff work compresses into two or three short working sessions — your time stays minimal. Messaging gets iterated weekly during the first month based on real call data — what’s landing, what isn’t, where to adjust. The hard part in this category is articulating a technical value proposition in plain business terms; that’s exactly what we tune in week one.

Yes, and segmentation goes deeper than industry alone. We layer tech stack (Snowflake, Databricks, Azure, AWS, GCP), data maturity, team size, existing tooling, revenue band, geography, and whether they have in-house data engineering. The output is a tight target list of 200–800 accounts that actually fit your offer — not a generic “companies with data” pull from a list vendor. Sloppy targeting is the single biggest reason outbound campaigns underperform. We fix it before week one.

Monthly retainer, scoped to your target volume, account complexity, and engagement cycle length. Enterprise targets and longer cycles cost more to engage; smaller mid-market plays cost less. We don’t publish a rate card because each firm’s service mix and offer looks different, and a flat price would either overcharge half our clients or undercharge the other half. Book the assessment and you’ll get a written scope and quote within 30 minutes of the call.