Lead Nurture · Behavioural Triggers

Behavioural triggers: nurture that fires on intent, not on the clock.

A real-time trigger engine that reads behavioural signals, classifies intent with AI, and dispatches the right action on the right channel — only when the lead has earned it. Deploy in your stack, embed in client engagements, or run it across a whole agency roster.

Priya · Acme Cloud
Trialling enterprise plan · day 12
Live
Behavioural events
Pricing page · 3rd visit · 4m11:02
intent: Evaluating · 0.91
Compared Scale vs Enterprise tile11:04
intent: Stack-shaping · 0.88
Idle 4m · scrolled FAQ11:08
intent: Hesitating · 0.74
Booked 30-min discovery11:12
intent: Sales-ready · 0.96
Triggered
listening…
What the system is doing
event.ingestlead=L-2941 · pricing.viewsession=s-77 · ip-region=SG
Watching for the next signal…

What the trigger engine does

Real-time triggers as production infrastructure — not a campaign builder.

Built to ingest behavioural events at scale, classify intent with AI, dispatch actions on the right channels, and audit every fire — wired into your CRM and your nurture stack.

Real-time event ingestion across the stack

Pageviews, scroll depth, video plays, form starts, cart events, ad clicks, email engagement — all merged into a single behavioural stream the moment they happen.

AI intent classification per signal

Each event gets classified by an intent model — Evaluating, Hesitating, Buying, Dormant, Re-engaging — with confidence so the system knows when to act and when to wait.

Signal-weighted triggers, not fixed timers

Time-based drips wait whether or not the lead is ready. Our triggers fire only when the lead's behaviour earns the next action — no premature emails, no irrelevant SMS.

Branching journeys with cooldowns + suppression

Each trigger respects channel-level cooldowns, frequency caps, suppression lists, and quiet hours. Action dispatch never spams a lead the system has already touched.

Decision audit on every fire

Every trigger logs which signal fired it, which intent classification it matched, which policy rule applied, and what action ran. Replayable, reviewable, overrideable.

Multi-tenant for agencies — per-client rule books

Each client workspace gets its own intent model, trigger policies, action templates, and channel inventory. Run trigger automation across a roster from one deployment.

Where triggers earn their keep

Same engine. Many motions.

Same event ingestion, same intent classifier, same audit spine — tuned per motion. Pricing-page intent, cart recovery, win-back, sales handoff, agency multi-tenant, and long-cycle services all run on the same engine; only policies, channels, and tuning change.

01

B2B SaaS · pricing-page intent triggers

Repeated pricing visits, demo replays, and idle-then-return patterns trigger personalised case studies, AE alerts, or boosted retarget bids — depending on the lead's signal-weighted intent.

02

E-commerce · cart-save + recovery sequences

Cart abandonment isn't 'send the same email after 1h'. The system reads cost-checking, distraction, and tab-inactive signals separately and triggers the right channel — email, SMS, WhatsApp — at the moment that recovers the order.

03

Re-engagement · win-back without spam

Dormancy detected via decay signal triggers a win-back sequence with distinct creative. Re-engaging clicks then cascade into the active lifecycle — not back to the start of a generic drip.

04

Sales handoff · context-rich AE alerts

Sales-ready intent classifier triggers a Slack / Teams alert to the right AE with the lead's last 3 events, top intent signals, and a suggested opener. AEs spend the day on warm conversations.

05

Agencies · trigger policy per client book

Each client gets its own policy library — eligibility, cooldowns, channel inventory — running on the same engine. Productise behaviour-triggered nurture across a client roster, not as a bespoke build per account.

06

Inbound services · long-cycle intent

Multi-week consideration cycles get scored on momentum signals (returning visits, content depth, stakeholder spread) rather than fixed timers. Triggers fire when the lead's trajectory says they're ready.

Live operations

See exactly what your trigger engine is doing — every event, every decision.

Top KPIs, streaming events on the left, the active trigger fire in the middle, your policy library on the right — and the AI trigger log surfacing every fire, cooldown, suppression, and anomaly underneath.

Trigger engine · live
ingest · classify · evaluate · dispatch · audit
Live
Triggers fired · today
2,941
+12 vs last 24h
Avg intent confidence
0.87
above 0.80 floor
Active rules
38
across 6 motions
Suppressions · today
124
freq caps + quiet
Active leads · streaming
Priya · Acme Cloud0.96
Pricing 4× · 2m ago
Buying
Marcus · Northwind0.83
Retarget click · 4m ago
Re-engaging
Yara · Atelier0.92
Cart $182 · TH · 6m ago
Buying
Elena · Brightline0.78
Demo replay · 9m ago
Evaluating
Rohan · Praxis SaaS0.69
Idle 14d · DE · IN
Dormant
Sofia · Lumen Labs0.58
Email open · no click
Hesitating
P
Priya · Acme Cloud
Trial day 12 · pricing 4×
Conf
0.96
Event timeline · live
Booked 30-min discoveryBuying · 0.9611:12
Idle 4m · scrolled FAQHesitating · 0.7411:08
Compared Scale vs EnterpriseEvaluating · 0.8811:04
Pricing page · 3rd visit · 4mEvaluating · 0.9111:02
AI intent · classifiedBuying · 0.96
4 pricing visits + booked discovery → strong purchase intent
Matched policy
demo-ready-promotion
cooldown OK · suppression checked
Action dispatched
Slack · #ae-tier-1
Alert AE Sarah · sent
Policy library
demo-ready-promotion11/h
active
cart-save-7m9/h
active
win-back-tier-26/h
active
plg-activation-stall4/h
cooled
pricing-3x-fast2/h
suppressed
Cooldowns active
L-2941
cooled · 14m left
L-2899
cart-save · 12m
L-3024
quiet hours · 9h
AI trigger log · live tailstreaming
11:12FIREDPriya · Acme Clouddemo-ready trigger fired · Slack #ae-tier-1 · audit=tr-9c4e
11:08ANOMALYCohort · APAC PLGintent shift detected · stall→re-engaging · 14 leadsAI
11:04FIREDYara · Ateliercart-save · WhatsApp · 10% code · TH-time peakAI
10:58COOLEDL-2899 · cart-savewould-fire held · cooldown 12m left · channel=email
10:54SUPPRESSEDL-3024 · win-backquiet hours · TH 22:00–08:00 · re-queued for 09:00

Models inside the engine

Multiple models. One decision per trigger.

Each model handles a distinct part of the trigger pipeline — classification, trajectory, policy matching, dispatch — and the outputs combine into one auditable fire per event.

PER-EVENT LABELLING
Intent Classifier

LLM-backed classifier that reads each behavioural event in context and returns a labelled intent (Evaluating, Hesitating, Buying, Dormant, Re-engaging) with confidence.

SEQUENCE-AWARE READING
Trajectory Reasoner

Reads the lead's recent event history as a trajectory rather than isolated events. Distinguishes 'first pricing visit' from 'fourth pricing visit in 48h with two demo replays'.

TRIGGER RULES + COOLDOWNS
Policy Evaluator

Matches classified intents against your trigger policy library — eligibility checks, channel cooldowns, frequency caps, suppression rules — before any action dispatches.

CHANNEL-AWARE EXECUTION
Action Dispatcher

Picks the right channel for the action (email, SMS, WhatsApp, retargeting, AE alert), formats the payload, and writes audit + provenance back to your CRM record.

Signals wired into every trigger

Every input that earns an action — integrated.

Web behaviour, marketing engagement, ad-platform signals, commerce events, CRM activity, product telemetry — pulled in parallel, normalised into one event schema, classified before any action fires.

Source
What it unlocks
Providers
Web + product behavioural events
Pageviews, scroll, button clicks, form interactions, video plays, search depth — captured client- and server-side, normalised into one event schema before classification.
SegmentRudderStackSnowplowPosthogCustom JS
Marketing engagement signals
Email opens, clicks, send-time response, unsubscribe markers, SMS / WhatsApp / push delivery and reply signals merged into the same trigger substrate.
HubSpotCustomer.ioMarketoIterableKlaviyo
Ad-platform engagement
Server-side conversion + retarget engagement signals from ad platforms — view-throughs, retarget clicks, lead-form completions — keep triggers honest beyond browser-cookie limits.
Meta CAPIGoogle ECLinkedIn CAPITikTok Events
Commerce events
Cart-add, cart-update, checkout-step, abandonment, post-purchase events — fed into intent classification with channel-aware recovery action policies.
ShopifyWooCommerceMagentoBigCommerceLazadaShopee
CRM + sales activity
Stage transitions, meeting outcomes, email replies, opportunity changes — both consumed (as input signals) and written back (as audit + score updates) on every trigger.
HubSpotSalesforcePipedriveAttioClose
Product usage + telemetry
For PLG motions, in-product activation, feature adoption, seat growth, and dormancy signals are first-class trigger inputs — often the strongest predictors of intent change.
PendoMixpanelHeapAmplitudeIn-house events

Solution & technology — not a campaign service

Built to deploy. Built to co-deploy.

Behaviour-triggered nurture shouldn't be locked into a managed-service contract. The trigger engine is infrastructure you deploy inside your own stack — directly, with your engineers, or alongside us. Agencies productise it across a client roster; in-house teams embed it into their ops layer; founders run it as the spine of their CRM.

  • In-house growth teams Run triggers as a permanent component of your nurture stack. Your engineers own the deployment, we tune the classifier and policy library.
  • Agencies + consultancies Run trigger automation across a client roster with workspace isolation, per-client policies, and white-label audit outputs.
  • Founder-led ops Spin it up on top of your CRM in weeks. The system carries the qualification + dispatch load — no ops team needed to make it work.
DEPLOYMENT MODELS
triggers.deploy · v3
Self-deployYour engineers · we hand over
Repo access · CRM + MAP integration playbook · classifier weights tunable · monthly review
Co-deployPair-build during rollout
Shared workspace · we embed during go-live · we step out, you keep running
Agency white-labelAcross your client roster
Multi-tenant · per-client policies · branded audit · agency-owned billing + reporting
ManagedWe run it end-to-end
Operations, classifier tuning, weekly tuning · your team owns the strategy, we own the system

Why Axccelerate for triggers

Not a workflow builder.
A trigger engine.

Workflow builders ask you to wire fixed timers and branches by hand. Our trigger engine reads intent, decides per-event whether to fire, and audits every action — so the journey adapts to the lead, not the other way round.

Capability
Axccelerate
Point-tool vendor
In-house build
Real-time intent classification per event
Signal-weighted triggers (not fixed timers)
Varies
Varies
Channel cooldowns + frequency caps + suppression
Varies
Varies
Decision audit per fire — replayable
Multi-channel dispatch from one engine
Varies
Workspace-isolated multi-tenancy (agencies)
Trajectory-aware (not single-event) classification
CRM-native writeback with audit hash
Varies
Confidence-aware action dispatch
No vendor lock-in · policies + classifiers exportable

Pricing

Priced to the deployment, not the trigger volume.

We scope against your channels, your trigger library, and your client/book footprint before quoting. Agency multi-tenant deployments price differently from a single in-house team — both are first-class citizens.

Launch
Enquirefor pricing
One book · agency-deployable

One brand or client book in production. Real-time event ingestion, intent classification, 5 trigger policies, multi-channel dispatch, full audit trail. Fits an agency embedding the system into a single client engagement.

1 brand or client book
Up to 5 active trigger policies
Email + 1 additional channel
Intent classifier · default model
Decision audit on every fire
Enquire for pricing
Most popular
Scale
Enquirefor pricing
In-house teams · agency multi-client

Up to 4 brands or client workspaces. Per-workspace classifier tuning, custom trigger policies, all channels, branded explainability outputs, and weekly tuning against outcomes.

Up to 4 brands or client workspaces
Unlimited trigger policies
All channels — email, SMS, WhatsApp, ads, push, in-app
Per-workspace classifier tuning
Branded audit + explainability
Enquire for pricing
Fleet
Enquirefor pricing
Platform · agency at scale

Unlimited workspaces, dedicated trigger engineer, custom signal sources, white-label dashboards, on-call support. Designed for agencies running behaviour-triggered nurture as a productised offering across a roster.

Unlimited brands / client workspaces
Dedicated trigger engineer
Custom signal sources + integrations
White-label dashboards + outputs
On-call support · SLA-backed
Talk to us

FAQ

Common questions.

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Deploy · co-deploy · white-label

Your trigger engine — engineered.

30-minute scoping with a senior engineer. You'll leave with a deployment plan, integration sketch, and realistic timeline — whether you're shipping it for your own pipeline or for a client roster.