xpandly

    The data platform

    Our own data platform shows which IT buyers are evaluating now.

    2.2 million verified data points across demographic, firmographic, intent, and behavioral signals, from webinar attendance to pricing page visits, updated daily.

    The data advantage

    Four problems the platform answers.

    You have paid for a list before and called cold. Every account here is scored against a buying signal, a webinar attended or a pricing page visited, before anyone approaches it.

    01

    The cold list

    An account has to show a buying signal before anyone approaches it.

    Intent datasolves this

    That signal is a Microsoft Copilot webinar attended, a pricing page visited twice, a comparison guide downloaded, or a renewal window opening.

    02

    The wrong accounts

    Spend goes to companies that are too small, in the wrong vertical, or already on a competitor's stack.

    Firmographic datasolves this

    The firmographic dataset filters on company size, industry vertical, Microsoft licensing tier, and IT and MSP spend, so only accounts that fit your ICP reach a campaign.

    03

    The wrong person

    A message that reaches the right company and the wrong role never reaches the person who can say yes.

    Demographic datasolves this

    Demographic profiles carry job title, seniority, department, and decision-making authority, and the stakeholder map shows your rep who else has to agree.

    04

    Browsers and buyers

    Without behavioral context every contact looks the same, and your reps spend the week on cold names.

    Behavioral datasolves this

    Engagement history, event attendance, and digital footprint show which contact attended the webinar and returned to the pricing page, so follow-up goes there first.

    How it works

    How a signal becomes a lead.

    Every qualified lead your reps receive starts as a score in the platform. A qualified lead is a verified decision-maker who is evaluating now, delivered with the buying trigger, the stakeholder map, and the intent history.

    01

    Find the signal

    Find the accounts showing intent this quarter: a pricing page visited more than once, a Microsoft Copilot webinar attended, or a renewal window opening. Machine-learning models surface those signals daily, so the campaign lands while the decision is still open.

    Content signalsSearch signalsVendor evaluationBudget-cycle signals
    02

    Map the committee

    Map the buying committee inside the account by job title, seniority, department, and decision-making authority. Your rep gets the stakeholder map with the lead, so the first call goes to the decision-maker and the follow-up goes to the people who influence them.

    Job titleSeniorityDepartmentDecision-making authority
    03

    Hand over the lead

    Hand the lead to your sales team qualified on budget, authority, need, and timeline (BANT), with the buying trigger, the stakeholder map, and the intent history attached. Leads sync to HubSpot, Salesforce, or Dynamics 365, and your reps open the call already briefed.

    BANT-qualifiedBuying triggerStakeholder mapIntent history

    The four datasets

    What the platform holds.

    The platform holds 2.2 million verified data points in four datasets: demographic, firmographic, intent, and behavioral. Machine-learning models maintain every dataset and update it daily.

    Know exactly who you're reaching

    Demographic data

    Individual profiles carry job title, seniority, department, and decision-making authority for the contacts in a target account. That is how a message reaches the person who can say yes inside the right company.

    • Job title and seniority level
    • Department and function
    • Decision-making authority
    • Purchasing influence mapping
    Target accounts that fit your ICP

    Firmographic data

    Company records carry company size, industry vertical, Microsoft licensing tier, and estimated IT and managed service provider (MSP) spend. We match your ideal customer profile (ICP) against those fields before any account enters a campaign.

    • Company size and headcount
    • Industry vertical and sub-sector
    • Microsoft licensing tier
    • Estimated IT and MSP spend
    Surface active buyers before they engage

    Intent signals

    Intent data covers content, search, vendor evaluation, and budget-cycle signals: a webinar attended, a pricing page visited, a comparison guide downloaded, or a renewal window opening. These signals are what put an account in market this quarter.

    • Content consumption signals
    • Search and research patterns
    • Vendor evaluation activity
    • Budget cycle indicators
    Separate buyers from browsers

    Behavioral signals

    Behavioral data records engagement history, event attendance, and digital footprint for each contact. It separates the contact who attended the event and returned to the pricing page from the contact who never responded, so follow-up goes to the first.

    • Campaign engagement history
    • Event and webinar attendance
    • Content interaction depth
    • Digital channel footprint

    Start here

    Start with the pipeline.

    Tell us what your pipeline needs to do next quarter. We will tell you plainly whether we can fill the gap, what it would involve, and whether we are the right partner. You will hear back within one business day.

    Response within one business day
    No commitment required
    A plain answer on fit, including no
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