next-best-action

What this skill does

# Next-Best-Action — Event-Driven Advisor Recommendations

## Purpose
Enable the design, evaluation, and implementation of next-best-action (NBA) systems for financial advisory practices. This skill covers the full NBA lifecycle — from event detection and trigger design through action identification, prioritization scoring, advisor delivery, workflow integration, and effectiveness measurement. It provides frameworks for building proactive, data-driven advisor productivity tools that surface the most valuable action an advisor should take for each client at any given time, replacing reactive and manual task management with intelligent, personalized recommendations.

## Layer
10 — Advisory Practice (Front Office)

## Direction
prospective

## When to Use
- Designing or evaluating an NBA engine for an RIA, broker-dealer, or wealth management platform
- Building event-driven triggers that detect portfolio, life, market, compliance, or practice events
- Defining an action library and recommendation logic for advisor outreach
- Designing prioritization and scoring models to rank competing actions
- Routing NBA actions to the appropriate team member (advisor, CSA, operations, compliance)
- Selecting delivery channels and designing advisor nudge formats
- Integrating NBA recommendations with CRM, portfolio management, financial planning, and trading systems
- Implementing compliance-driven NBA actions (annual reviews, disclosure delivery, suitability re-certification)
- Measuring NBA effectiveness (acceptance rate, time-to-action, revenue impact, compliance completion)
- Evaluating vendor NBA platforms or building custom NBA capabilities

## Core Concepts

### Next-Best-Action Framework
Next-best-action is an advisor productivity and client service methodology that analyzes client data across systems to surface the single most valuable action an advisor should take for each client at any given time. The concept originates in CRM and marketing automation — industries that have long used event-driven recommendation engines to guide customer-facing personnel toward high-value interactions — but its application in wealth management addresses a distinct set of challenges: advisors managing hundreds of client relationships cannot manually monitor every portfolio, life event, compliance deadline, and practice touchpoint across their entire book of business.

NBA differs fundamentally from traditional task management. Traditional task management is reactive and manual: advisors create their own to-do lists, respond to inbound client requests, and rely on memory or periodic reviews to identify outreach opportunities. NBA is proactive and data-driven: the system continuously monitors client data across custodial feeds, CRM records, financial plans, compliance calendars, and market data, automatically identifying situations that warrant advisor attention and recommending specific actions with supporting context.

The core components of an NBA system are:

- **Event detection** — Continuous monitoring of data sources to identify triggering events (portfolio drift, large cash movement, life milestone, compliance deadline, market dislocation).
- **Action identification** — Mapping detected events to a catalog of recommended actions (schedule review, propose rebalancing, discuss tax-loss harvesting, update beneficiaries).
- **Prioritization** — Scoring and ranking competing actions across all clients to ensure advisors focus on the highest-value activities given limited time.
- **Routing** — Directing each action to the appropriate person based on role, expertise, relationship, and availability.
- **Delivery** — Presenting recommendations through the channels advisors actually use (dashboard, mobile notification, email digest, CRM task).
- **Tracking** — Recording action outcomes (accepted, deferred, rejected, completed) to close the feedback loop and improve future recommendations.

### Event Detection and Trigger Types
The quality of an NBA system depends on the breadth and reliability of its event detection. Events fall into five categories, each requiring different data sources and detection logic.

**Portfolio events** are detected from custodial data feeds, portfolio management systems, and market data:

- Drift beyond threshold — A client's actual allocation has deviated from the target model beyond the firm's tolerance band (e.g., equity allocation at 72% vs. 65% target with a 5% tolerance). Requires real-time or daily position data and model assignment.
- Large cash deposit or withdrawal — A significant cash movement (typically defined by absolute amount or percentage of portfolio) has occurred. Detected from custodial transaction feeds. A $200,000 deposit into a $1 million account signals an investment opportunity; a $200,000 withdrawal from the same account may signal a liquidity event requiring plan reassessment.
- Concentrated position — A single holding has grown to exceed a concentration threshold (e.g., 10% or 15% of portfolio value), whether through appreciation, additional purchases, or stock compensation vesting. Detected from position-level holdings data.
- Tax-loss harvesting opportunity — Unrealized losses in taxable accounts exceed a significance threshold, particularly near year-end or after market declines. Requires lot-level cost basis data and market prices.
- Required minimum distribution (RMD) due — A client with a traditional IRA or inherited IRA is approaching or has reached an RMD deadline. Requires account type data and client date of birth. RMD deadlines are absolute (December 31 for most, April 1 of the following year for the year the owner turns 73).
- Margin call — A client's margin account has breached maintenance requirements. Requires margin balance and equity data from the custodian. Margin calls are time-sensitive and typically require same-day or next-day resolution.

**Life events** are detected from CRM data, client-reported information, and public records:

- Birthday milestones — Age-based financial triggers: 59-1/2 (penalty-free IRA withdrawals), 62 (early Social Security eligibility), 65 (Medicare eligibility), 70-1/2 (qualified charitable distributions from IRAs), 73 (RMD beginning age under SECURE 2.0 for those born 1951-1959). Detected from client date of birth in CRM.
- Marriage, divorce, death of spouse — Major life transitions requiring comprehensive financial plan review, beneficiary updates, account re-titling, and potentially revised investment strategy. Typically detected through advisor-reported CRM updates or client-initiated contact.
- New child or grandchild — Triggers discussions about education savings (529 plans), life insurance review, estate plan updates, and beneficiary designation changes.
- Job change or retirement — Income changes, employer benefit transitions (401k rollover), stock option/RSU vesting acceleration, and potential shift in investment time horizon and risk profile.

**Market events** are detected from market data feeds, portfolio analytics, and research systems:

- Sector or asset class drawdown affecting client holdings — A significant decline in a sector or asset class in which the client has meaningful exposure. Requires mapping client holdings to sectors and monitoring sector-level returns.
- Interest rate change impacting fixed income allocation — Significant rate movements that affect the duration risk, yield, or relative value of a client's fixed income holdings. Particularly relevant for clients with large bond allocations or approaching income-distribution phase.
- New fund or product launch replacing a current holding — A lower-cost, better-performing, or more tax-efficient alternative to a fund currently held by clients. Detected through product research and comparison analytics.

**Compliance events** are detected from compliance calendars, CRM activity logs, and regulatory data:

- Annual review overdue — The client has not received a formal portfolio or suitability review