Unify every source.
Resolve one identity.
Activate any channel.

NeuGenM Sigma is a managed customer data platform (CDP) that unifies all your customer data into one profile per person and activates it across every channel. It does three things: ingests structured and event-level data from every marketing, sales and support system into one governed repository; resolves the scattered records for each customer into a single confident identity; and activates that profile by syncing audiences live to your ad platforms, CRM and messaging tools. Sigma is the data foundation underneath NeuGenM's other engines — Signal, Swarm, Surge and Shelf all read from it — and it's operated end to end by NeuGenM rather than handed over as a dashboard to run yourself.

A customer data platform (CDP) is software that collects customer data from all your systems, unifies it into a single profile per customer, and makes that profile available to your other tools for targeting and personalisation. It works primarily with first-party data — website and app activity, purchases, email engagement, CRM records, support tickets — and stitches those signals into one persistent customer record. The point is to end the situation where every tool holds a different partial view of the same person; the CDP becomes the single source of truth every channel reads from.

They do different jobs: a CRM records your team's interactions with known customers, a DMP handles anonymous third-party data for ad targeting, and a CDP unifies first-party data from all your systems into one behavioural profile that any tool can act on. A CRM isn't a substitute — it's one of the sources a CDP ingests. If your customer data is split across a CRM, an ecommerce platform, ad accounts and a support desk, and no single system reconciles them, that reconciliation is exactly what a CDP does and a CRM doesn't.

NeuGenM hasn't published Sigma pricing — it offers three engagement models (a fixed-scope Implementation Sprint, an ongoing Managed Service retainer, or a Portfolio Bundle with Signal/Swarm/Surge/Shelf), scoped via the free data audit. For market context, CDPs typically run $1,000–$10,000/month for small-to-midsize businesses and $50,000–$300,000+/year for enterprise, usually priced per unified profile or per data event — and total cost of ownership (implementation, engineering, operations) commonly runs 2–5× the licence fee (source: CDP.com, MarTech, 2026). Because Sigma is managed rather than self-serve, more of that operational cost sits with NeuGenM rather than falling on your team to staff.

A focused Sigma deployment goes live in weeks, not months — each module rolls out over roughly three to four weeks (source audit in week 1, connectors and schema unification through weeks 2–3, live sync from week 3+), and matching and activation follow the same weekly cadence. This tracks the wider evidence: a structured, focused CDP deployment targeting one or two use cases reaches value in around 45 days, while unfocused "connect everything first" builds stretch to six months or never (source: CDP.com, 2026). Sigma deliberately starts narrow — one activation use case live first — then expands.

Identity resolution is the process of matching the many scattered records a customer leaves across your systems into one confident profile. It uses two techniques: deterministic matching ties records together on confirmed identifiers like email, phone or customer ID and is near-100% accurate but only merges records that share an identifier; probabilistic matching infers that two records are the same person from behavioural and device signals, which reaches far more records at lower certainty. The most reliable approach combines them — deterministic for high-confidence links, probabilistic to extend coverage where identifiers are missing — which is exactly how Sigma resolves identity.