What we build
Rules for reliability. AI for the judgement calls.
Each capability is a production discipline — multi-channel orchestration, AI variant selection, behavioural-trigger flows, suppression and compliance, attribution back to revenue. Composed into one journey rather than welded together from disconnected tools.
Multi-channel lifecycle orchestration
Email, SMS, in-app, push, and retargeting orchestrated as one journey — not four disconnected tools. The same cohort moves through channels coherently; suppression and consent respected globally, not per-tool.
AI-authored variant + send-time selection
Subject lines, hero copy, CTA wording, and send-times picked per recipient by a model trained on your engagement history. Rules for reliability, AI for the judgement calls — never the other way around.
Behavioural-trigger-aware lifecycle flows
Journey logic reads product-engagement signals (feature use, plan tier, recency) and re-routes the cohort dynamically. Disengaged users land on a re-engagement track; engaged ones skip ahead — without human intervention.
Branching paths with confidence thresholds
Engaged / dormant / unsubscribed / objected branches with model-driven decisions at every fork. Above the threshold the agent routes alone; below it, marketing leadership reviews before send.
Suppression + compliance built in
Hard-bounce, soft-bounce, complaint, unsubscribe, and consent-withdrawal rules applied globally before any send. PDPA, GDPR, CASL, and CAN-SPAM aligned — not bolted on per-channel.
Revenue attribution per cohort
Every send, every variant, every send-time decision tied to closed-won pipeline. InsightAX shows which campaigns moved a cohort to revenue — not which campaigns generated opens. Scaling is a data call.
Where lifecycle journeys land
One engine. Every cohort, every channel.
Same orchestration engine, tuned per motion. Trial onboarding, e-commerce welcome, B2B nurture, re-engagement, cross-sell, transactional — composed from shared primitives instead of rebuilt per journey.
SaaS trial onboarding
14-30 day activation flows tuned to product usage. Connect-CRM nudges, feature-discovery prompts, day-7 friction surveys, milestone celebrations — all reading live activation signals to decide what to send.
E-commerce lifecycle
Welcome series → first repeat → loyalty upgrade → win-back. Personalised across email, SMS, retargeting and push; suppression respected globally; cart-abandon flows tuned to category and basket size.
B2B nurture sequences
Multi-touch nurture for MQLs that haven't converted yet. Persona-routed (CFO vs VP Eng vs founder), engagement-aware (route to demo vs hold for case-study), and tied to sales pipeline state.
Re-engagement programs
Dormant-cohort wake-up flows that distinguish 'lost interest' from 'right person, wrong time'. AI-driven content selection per dormancy reason; respect-and-suppress instead of carpet-bombing inactive users.
Cross-sell / upsell to install base
Plan-tier upgrade prompts triggered by usage thresholds. New-feature announcements segmented by feature relevance to the account. Renewal nudges sequenced to expansion-rep capacity.
Event-triggered transactional
Order confirmations, password resets, billing alerts, calendar reminders — transactional sends with the same reliability discipline (idempotency, rate-limits, retry semantics) as the marketing journey.
Model families we deploy
No single model handles every send. So we compose.
Variant selection, send-time optimisation, lifecycle reasoning, and suppression each run on their own model — composed into one orchestrator with version control at every step.
Picks subject line, hero copy, and CTA per recipient based on prior engagement, persona, and content history. Auto-runs A/B tests at scale; promotes winners back into the journey.
Predicts the best send-time per recipient using their historical open patterns, timezone, and channel preference. Sends are queued — not blasted — within a window picked to land at peak attention.
Decides at every branch — should this user advance, hold, re-engage, or exit? Reads product-usage signals plus engagement patterns; outputs a route with a confidence score per cohort.
Tags every recipient before send — hard-bounce risk, complaint risk, dormant, unsubscribed, consent-withdrawn. Suppresses in real time. Never relies on a stale list to enforce compliance.
Channels + sources wired into every send
Every channel that reaches the customer — orchestrated.
Email, SMS, push, retargeting, and the data sources that drive them — composed into one lifecycle. Identity resolution, suppression enforcement, and engagement signals shared globally — never per-tool.
Per-send explainability
Every send carries its decisions. For marketing. For compliance.
Variant picked, send-time chosen, suppression checks passed, model version used — captured per send. Marketing leadership replays any cohort to see exactly what the agent picked and why.
- Variant + send-time picked per recipient
- Suppression + consent state on every send
- Model version + prompt version captured
- Replayable from any cohort or send
Frameworks we align to
Why Axccelerate for marketing automation
Not a sender.
An orchestration system.
An ESP gives you sends. Our system gives you AI-tuned variants, per-user send-times, lifecycle reasoning, global suppression, per-send audit, and revenue attribution — the layer that turns a sender into infrastructure.
Pricing
Priced to your channels and your stack — not seat counts.
Marketing-automation deployments are scoped — we cost against your journeys, channels, and review cadence before quoting.
Glossary
The vocabulary behind every lifecycle journey.
A quick reference for the terms that show up in journey specifications, send trails, and ops reviews — the language your marketing and engineering teams will use during deployment.
- Lifecycle journey
- Multi-step user flow
A multi-step messaging sequence aligned to a stage of the customer relationship — welcome, activation, engagement, re-engagement, win-back. Each step reads context and adapts.
- Cohort
- Grouped users sharing a trait
A set of users grouped by signup date, plan tier, behaviour, or persona. Cohorts move through journeys together; performance is measured per cohort, not per recipient.
- Send-time optimisation
- Per-user delivery window
A model that picks the best moment to send to each recipient based on their open history, timezone, and channel preference. Replaces 'send at 10am Tuesday' with 'send when this user reads.'
- Variant selection
- AI-picked content version
A model picking subject line, hero copy, or CTA per recipient from a pool of authored variants — based on prior engagement and persona. Continuous A/B at scale.
- Behavioural trigger
- Event-driven journey entry
A product or engagement event that fires a journey or branches it — feature-adopted, plan-upgraded, dormant-7d, cart-abandoned. The journey reads these in real time, not on batch.
- Suppression list
- Global do-not-send registry
A central list of recipients excluded from every send across every channel — bounces, complaints, unsubscribes, consent-withdrawn. Enforced before send, not after.
- Frequency cap
- Per-user send limit
A maximum number of sends per recipient over a window (per channel and global). Prevents fatigue and protects deliverability; AI throttles based on engagement signal, not just count.
- Deliverability
- Inbox-placement health
The probability your sends land in the inbox vs spam. Drift in deliverability is a leading indicator of trouble — open-rate fall, complaint-rate rise — and a system that watches this is non-optional.
- Conversion event
- Outcome that closes attribution
A user action that closes the loop on a send — purchase, plan upgrade, demo booked, trial activated. InsightAX ties every send back to a conversion event for revenue attribution.
- Reasoning trail
- Per-send audit log
The full record of what the agent decided per recipient — variant picked, send-time chosen, suppression checks. Available for marketing-leadership review and compliance audit.
- Approval gate
- Mandatory human checkpoint
A step that always requires named human sign-off before a send goes out — typically used on mass broadcasts, new templates, and high-risk segments. Tunable per audience size.
- Re-engagement
- Dormant-cohort wake-up flow
A program targeting users who've gone quiet — distinguishes 'right person, wrong time' from 'lost interest' and routes the cohort to the right path. Respects suppression at every step.
Map the journey.
Ship the orchestrator.
30-minute scoping with a senior engineer and a marketing-ops specialist. You'll leave with a journey map, channel plan, and realistic timeline — not a sales pitch.