AI-powered lead scoring software — prioritise quality leads in seconds
Nortinia Sales AI’s lead scoring software ranks leads on three dimensions: behaviour (page visits, email engagement, demo bookings), ICP fit (industry, size, role) and intent signals (search trends, buying signals, tech stack). The score updates in real time on every new interaction, and anomaly detection alerts when a previously cold lead suddenly goes hot. The manager-CRM bridge hands the updated score straight to sales — the top 10% are visible in seconds.
What it does
How people use it
High-volume inbound
A SaaS company gets 1500-2000 inbound leads a month via the website, demo bookings and content downloads. Sales cannot work them all — Nortinia Sales AI ranks them in real time, the top 15% get a human touch immediately, the rest are nurtured by AI. Conversion rises materially with no lead leakage.
Outbound prioritisation
An outbound BDR team can work 500-800 prospects a week — who first? Lead scoring software builds a priority list from ICP fit, intent signals (e.g. fresh funding, tech changes) and buying signals. BDRs work the live market, not the entire list.
Sales-marketing alignment
Marketing hands over 600 MQLs a month, but sales says 60% “were not qualified”. Nortinia Sales AI puts both teams on a single score system: only leads above 70 become SQLs, the rest go back to nurturing. The argument ends and the monthly pipeline runs on one set of numbers.
Account-Based Marketing (ABM)
In ABM you target 50-100 strategic accounts, and the question is not which account is hot, but which contact inside each account. The lead scoring software exposes scores at both account and contact level, so marketing knows which account needs a louder campaign and sales knows which C-level contact to engage first.
Frequently asked
How much historical data is needed to train the model?
A good scoring model needs at least 12 months of closed-deal history (50+ wins and 50+ losses) and 6 months of behavioural data (web analytics, email engagement). With less, the Nortinia team starts from an industry-level benchmark model and the system learns on your own data over the first 60-90 days.
Is the lead scoring GDPR-compliant in the EU?
Yes. Nortinia Sales AI runs on EU-region data storage (Frankfurt and Amsterdam) and processes behavioural data anonymously until a lead gives explicit tracking consent. Leads have the right to see and delete their stored scores — the portal handles that in one click.
Where should the score threshold be set?
A recommended starting threshold is 70 (MQL → SQL handoff), but the Nortinia team computes your optimum from your own conversion-funnel data after the first 30 days. The threshold moves dynamically: it rises when SQL capacity is saturated and falls when inbound is light — every change is visible on the manager dashboard.
How does the hot-lead alert work?
When a lead’s score jumps 20+ points within 24 hours or shows a concrete buying signal (price list request, demo booking), Nortinia Sales AI alerts the assigned rep instantly by push, Slack and email. The CTA goes straight to a “Call now” link with an AI-generated conversation brief.
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