Predictive Demand Engine

No — BIGDBM provides everything needed to run the entire pipeline. This includes access to BIGDBM's proprietary B2B contact database covering companies across the data ecosystem, live intent signals that identify companies actively researching data solutions right now, outreach infrastructure for email, LinkedIn, and programmatic channels, and the in-house team to operate all of it. You do not need to provide prospect lists, sales tools, licenses, outreach platforms, or additional data. The only thing you need to provide is a clear description of your ideal customer profile — what kind of companies you want to sell to, what your product does, and what deal size or use case is most relevant — and BIGDBM builds the entire prospecting and qualification program from there. Most engagements are live and producing prospects within two to four weeks of kickoff.

Every prospect that comes out of the Predictive Demand Engine has been through a structured qualification process — not just scraped from a list. BIGDBM's team begins with ICP profiling: building a detailed picture of your ideal buyer based on company size, vertical, data use case, technology stack, and buying behavior signals. Prospects are then sourced from BIGDBM's B2B database and scored using live intent signals — prioritizing companies that are actively researching solutions like yours right now, not companies that might theoretically be interested someday. Before a prospect is handed off, BIGDBM runs KYC (Know Your Customer) validation: confirming company identity, verifying contact details, assessing organizational fit for your product, and documenting the qualification rationale. You receive only companies that have been confirmed as real, reachable, and matched against your ICP — every one with notes that explain why they qualify, so your team can walk into the conversation informed.

The handoff is designed to preserve momentum — not create a cold restart. When a prospect has been qualified and shown genuine interest, BIGDBM delivers a structured handoff package to your team that includes: company and contact details verified through KYC, a qualification summary explaining why this prospect was selected and what they responded to, the conversation history and any materials already shared, notes on deal size or use case discussions that have occurred, and the recommended next step for your team to take. If agreement structuring has been initiated — for example, a mutual NDA or a data evaluation agreement — that progress is included in the handoff so your team continues from where BIGDBM left off, not from scratch. The goal is that by the time your team has their first call, the prospect already understands your product category, has expressed interest, and is ready to move forward.

The Predictive Demand Engine is priced on a performance basis — meaning BIGDBM's compensation is tied directly to outcomes, not to hours worked or activities completed. There is no large upfront retainer, no monthly flat fee for effort, and no billing for meetings or emails sent. BIGDBM earns when you earn, with rates structured as a percentage of closed revenue or a per-qualified-lead fee depending on the engagement model that fits your sales cycle. This structure makes the Predictive Demand Engine far more cost-effective than building an internal SDR team — which requires hiring, training, tooling, and management overhead that can easily exceed six figures annually before a single deal closes. It is also more aligned than traditional outsourced sales firms that charge regardless of results. If BIGDBM doesn't produce qualified pipeline, BIGDBM doesn't get paid. That alignment is by design.

The Predictive Demand Engine runs multichannel outreach because modern B2B buyers don't respond to a single channel — they need to encounter your brand in several places before they engage. BIGDBM operates across email (using EQL-validated contacts from BIGDBM's B2B database), LinkedIn (organic and sponsored outreach to matched decision-makers), programmatic display advertising (retargeting and prospecting to ICP-matched company audiences), and phone (PQL-scored, DNC-verified contacts only). Each channel plays a different role: email opens the conversation, LinkedIn builds familiarity, programmatic creates persistent brand presence, and phone closes when intent signals are high. All outreach is executed on consent-managed, opt-out-processed contact data — so every touch is compliant regardless of channel, and your brand is protected throughout the process. BIGDBM monitors channel performance throughout the engagement and adjusts the mix to maximize response rates for your specific ICP.