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How does data flow between Alkami and Segmint?

Banks typically send Alkami events and snapshots through an integration layer (iPaaS, serverless, or SFTP) into Segmint, which standardizes signals into KLIs and audiences. Segmint outputs segments and triggers back to MAP/CRM for journeys—always governed by consent and PII-minimization.

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The common pattern is **Alkami → (events/files) → Integration Layer → Segmint** for normalization and KLI creation, then **Segmint → (APIs/files) → MAP/CRM/CDP** for activation. Return flows update Alkami or data lakes with campaign results for closed-loop learning.

Ingest to Segmint (Alkami → Segmint)

Feed / Transport Key Fields Cadence Primary Use
Event webhooks → iPaaS/API Member ID, app status, KYC pass, funded flag, first login Near real-time Onboarding timing, activation triggers
Daily account snapshot (SFTP/cloud) Product holdings, balances, tenure, branch Daily/nightly Eligibility, balance bands, life-stage
Card/ACH transactions (file or stream) MCC, merchant, amount, frequency Daily; intraday where enabled Competitive spend KLIs, propensity features
Digital banking telemetry Logins, bill pay, P2P, RDC adoption Events or daily Activation scores, churn risk
Consent & preferences Channel opt-ins, timestamps, source On change Suppression & channel governance

Outcome example: increasing funded accounts with better timing and suppression—see our funded-accounts playbook.

Activation from Segmint (Segmint → MAP/CRM/CDP)

Output Destination Trigger/Format Use Case
Audiences / segments MAP (Marketo, HubSpot, SFMC, Eloqua) API lists or daily files Onboarding, cross-sell, re-engagement
KLI flags & scores CRM/CDP & data lake Attribute updates via API/file Sales prioritization, NBA modeling
Real-time event triggers MAP/Orchestration layer Webhook → function → MAP API Funded → welcome, first-login nudges
Suppression & consent sets MAP/CRM On change Compliance, deliverability

Governance: keys, privacy, and reliability

Stable identity: Use a golden member/customer ID; map to MAP/CRM IDs in the integration layer with survivorship rules.
PII minimization: Tokenize account numbers; pass only fields needed for journeys.
Consent enforcement: Store source + timestamp; apply per-channel suppression in outbound feeds.
Idempotency & retries: Include event IDs and checksums to avoid duplicates; log delivery receipts.
Audits & lineage: Keep source→transform→destination traces and retention policies.

Rollout playbook (4–8 weeks)

1) Define KPIs & use cases

Funded-account rate, time-to-first-use, and feature adoption as north-star metrics.

2) Field mapping & IDs

Draft a data dictionary across Alkami → Segmint → MAP/CRM; decide golden ID and consent fields.

3) Build pipes

Stand up events/files via iPaaS/serverless; add validation, masking, and error alerts.

4) Configure journeys

Create entry criteria from KLIs/segments with compliant suppression and goals.

5) Measure & iterate

Instrument closed-loop reporting and refresh KLIs monthly; expand cohorts.

FAQ

Do we need real-time streaming?
Not to start. Most FIs begin with daily files for breadth plus a few real-time events (funded, first login) for time-sensitive journeys.
Where do campaign results go?
Back to your data lake/warehouse and CRM via MAP exports; use these to refine KLIs and modeling features.
How are duplicates handled?
Use deterministic keys (member ID) with idempotency tokens and survivorship rules in the integration layer.
Can AI agents act on these flows?
Yes—agents can watch for funding/activation events, draft messages, and request approvals before sending.
What if legal limits data sharing?
Share only necessary attributes, mask PII, and enforce consent at export. Keep delivery and access logs for audits.

Operationalize Alkami ↔ Segmint Data for Revenue Outcomes

We’ll map fields, secure the pipes, and launch journeys tied to funded accounts and activation.

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