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Banking and Finance
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Travel and Hospitality
Education and EdTech
Telecom and Media
CUSTOMER JOURNEY ORCHESTRATION

Journeys That Move With Your Customer, Not on Your Schedule.

Most marketing communication is still designed around the marketer's schedule rather than the customer's behaviour — a monthly newsletter that goes to everyone, a campaign that launches on Tuesday because the budget was approved, a welcome sequence that sends on day 1, day 3, and day 7 regardless of what the customer actually did on day 2. Journey orchestration is the discipline of replacing marketer-scheduled communication with customer-triggered communication — where every message is sent because the customer did something that makes that message relevant right now, delivered on the channel where the customer is most likely to engage, personalised to the specific context of that customer's relationship with your brand. The result is not just higher engagement rates: it is fundamentally different communication that customers experience as relevant and timely rather than as noise they have learned to ignore. SourceMash designs, builds, and continuously optimises customer journey orchestration programmes across email, SMS, push, in-app, web, and paid media — turning behavioural signals into coordinated, personalised customer experiences at the scale that only automation makes possible.

6
Core Orchestration Services
8+
Channels Orchestrated
4x
Avg. Engagement vs. Batch Send
Real
–Time Trigger Architecture
AI
Next-Best-Action & Send-Time
Orchestration Platforms We Build On

Every Channel. One Coordinated Customer Experience.

Journey orchestration sits one layer above marketing automation — while marketing automation executes individual automated workflows, journey orchestration manages the full cross-channel customer experience as a coordinated whole. A customer receiving three simultaneous email nurtures, an abandoned cart SMS, and a retargeting ad — all triggered by different automations that do not know about each other — is experiencing fragmented automation, not orchestrated journey. Journey orchestration applies a single decision layer that determines, for each customer at each moment, which message to send, on which channel, at what time, based on their complete real-time profile across every touchpoint — suppressing the email if the customer has already converted via the ad, accelerating the SMS if the email was ignored, and holding all communication if the customer has raised a support ticket and marketing should stand down.

We build journey orchestration programmes on Salesforce Marketing Cloud Journey Builder and Customer Data Platform, Adobe Journey Optimizer, HubSpot Workflows with advanced branching, and Braze — and we design the real-time event architecture that feeds these platforms with the behavioural signals they need to make decisions in the moment of customer action rather than in the next morning's batch run.

icon Real-Time Behavioural Triggers icon Cross-Channel Coordination icon AI-Driven Personalisation icon Optimal Send-Time Prediction icon Next-Best-Action Models icon Frequency & Fatigue Control icon Full Lifecycle Coverage icon Journey Revenue Attribution

Platforms We Orchestrate On

☁️
Salesforce Marketing Cloud
Journey Builder + CDP + Real-Time Events — enterprise B2C orchestration
🧡
HubSpot Workflows
Advanced branching journeys with CRM data — B2B and SME programmes
📣
Braze / Marketo
Mobile-first orchestration and B2B demand gen journeys
🧠
Adobe Journey Optimizer
Real-time decisioning with Adobe Experience Platform data layer

Channels We Orchestrate Across

icon Email icon SMS & WhatsApp icon Push Notifications icon In-App Messages icon Website Personalisation icon Paid Media Sync icon Call Centre Triggers icon Chat & Conversational
SERVICE 01

Journey Strategy & Architecture Design

Journey orchestration strategy is the work that happens before anyone opens a journey builder, writes a workflow, or designs an email template. It is the discipline of mapping the customer's actual decision and experience process — how they discover you, what questions they need answered at each stage, what signals indicate they have moved from consideration to evaluation to decision, and what post-purchase moments are most critical for retention and expansion — and then designing an orchestration architecture that is genuinely responsive to that process rather than that imposes a marketer-designed sequence on top of it. Most journey programmes skip this phase and go directly to building workflows — producing journeys that are technically correct (the automation fires, the emails send, the logic branches) but strategically misaligned (the content does not match where the customer actually is in their decision process, the triggers are not observing the right signals, and the handoffs between journeys are not defined).

SourceMash's journey strategy engagements produce a journey architecture document — the strategic blueprint that defines every journey in your orchestration programme, the entry and exit conditions for each journey, the trigger events that advance customers through journey stages, the suppression rules that prevent communication conflicts between simultaneous journeys, the channel selection logic that determines which channel delivers each message, and the content brief for every message in the programme before any build work begins. This architecture phase prevents the most expensive problem in journey orchestration: discovering during build or after go-live that the journey design is structurally wrong and must be rebuilt.

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Journey Strategy — Deliverables
SourceMash journey architecture engagements
Journey Architecture Document Full orchestration blueprint
Audience & Segment Design Persona-based, behavioural
Entry / Exit / Suppression Rules Conflict-free journey logic
Channel Selection Framework Right channel per moment
Content Brief per Journey Stage Creative brief at design stage
Success Metric Framework KPIs defined before build

The Six Customer Lifecycle Stages We Orchestrate

Every SourceMash journey architecture covers the full customer lifecycle — from anonymous visitor through advocate, with no stage left to ad-hoc communication

💡
Stage 1
Acquire
First touch, lead capture, welcome. Entry into the orchestration ecosystem.
🌱
Stage 2
Nurture
Education, consideration. Behavioural-trigger sequences move prospects forward.
Stage 3
Convert
Decision stage. High-intent signals trigger conversion-focused sequences and sales handoff.
🚀
Stage 4
Onboard
Post-purchase adoption journey. Usage triggers, milestone celebrations, risk alerts.
📈
Stage 5
Expand
Upsell, cross-sell, renewal. Propensity signals trigger expansion sequences.
❤️
Stage 6
Advocate
NPS promoters, referrals, reviews. Loyalty programme and community journeys.

Journey Architecture — What We Design Before Build Begins

The strategic and structural decisions that determine whether a journey programme performs or underperforms — made at architecture stage, not discovered during QA

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Journey Map & Programme Architecture
Full mapping of the journey programme — every journey in the programme (acquisition, nurture, onboarding, renewal, win-back), the customer states that each journey targets, and the relationships between journeys (how a customer exits one journey and enters another, what suppression rules prevent simultaneous journey conflicts, and how a customer who has moved from prospect to customer is moved out of acquisition journeys and into customer journeys without manual intervention).
Programme Design
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Audience Architecture & Segmentation Design
Audience segment definition — ICP-based B2B persona segments with firmographic and behavioural attributes, or lifecycle-based B2C segments (new, active, at-risk, lapsed, churned) with RFM and engagement dimensions. Segment entry and exit criteria defined in the data language of the orchestration platform and the source data systems — not as conceptual categories but as specific field conditions and event sequences that the platform can evaluate in real time.
Audience Design
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Entry, Exit & Suppression Rule Design
The logic that prevents the most common journey conflict scenarios — a customer in both a nurture journey and a win-back journey receiving communication from both simultaneously; a converted customer still receiving sales nurture content; a customer who has raised a support ticket receiving promotional communication while their issue is unresolved; and a customer who has unsubscribed from one channel still receiving communication from that channel via a different journey. Suppression rules designed and documented before any journey is built.
Conflict Prevention
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Channel Selection & Decision Logic
Channel selection rules for each journey and message — which channel is primary for each message type (email for considered content, SMS for time-sensitive offers, push for in-app moments, in-app for feature-specific context), what fallback logic applies when a customer is not reachable on the preferred channel, and how the orchestration platform coordinates channel timing to avoid the same customer receiving email at 9am, SMS at 9:05am, and a push notification at 9:10am about different messages from the same brand.
Channel Logic
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Content Architecture & Creative Brief
Stage-by-stage content mapping — what information or emotional experience each message in the journey needs to deliver, how it differs from adjacent messages in the sequence, what call-to-action drives the intended next behaviour, and what personalisation variables make each message feel individual rather than templated. Delivered as a structured content brief for each journey stage that the creative team can use to write and design against — not a vague "we need three nurture emails" instruction that produces generic content.
Content Planning
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Success Framework & KPI Definition
Journey-level and programme-level KPI definition before build begins — so the measurement infrastructure is built into the journey configuration rather than retrofitted afterwards. Journey KPIs (engagement rate, conversion rate, revenue per entry, time-to-conversion) agreed with marketing leadership alongside the business outcomes they connect to (MQL volume, customer retention rate, upsell revenue). A/B test plan for each journey's primary branch decisions to ensure the programme improves continuously post-launch.
KPI Framework
SERVICE 02

Real-Time Trigger Architecture & Event-Driven Journeys

The difference between a batch-scheduled email programme and a real-time triggered journey programme is the difference between a pharmacist who calls you on a fixed monthly schedule to ask if you need a refill versus one who calls the moment your prescription is due based on your actual fill history. The scheduled programme is convenient for the sender and irrelevant to the recipient at least 90% of the time it fires. The triggered programme is relevant in the moment it fires because it is responding to something the customer actually did — browsed a specific product, completed a specific onboarding step, reached a specific usage threshold, or passed a specific time since their last purchase. The relevance of the triggered communication is not incidental to its effectiveness; it is the mechanism by which it produces higher engagement and conversion than the scheduled alternative.

Building real-time trigger architecture requires two things that most organisations lack: a data collection layer that captures customer events in real time and routes them to the orchestration platform with subsecond latency (most organisations are working with hourly or nightly batch data exports from their e-commerce platform, CRM, and product analytics tools), and an orchestration platform configured to receive those events and evaluate journey entry conditions against them instantly. SourceMash designs and implements the full real-time trigger stack — server-side event collection, streaming data pipelines, orchestration platform event ingestion, and the trigger logic that converts raw events into journey entry decisions in real time.

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Real-Time Triggers — Architecture Scope
SourceMash event-driven journey practice
Event Latency (trigger to send) < 60 seconds for key triggers
Event Collection Server-side + client-side streams
Sources Connected Web, app, e-com, CRM, product
Streaming Pipeline Segment, Kafka, Kinesis, BTP
Suppression Evaluation Real-time — not batch
Trigger Types Behavioural, transactional, temporal

Real-Time Trigger Types We Implement

The specific trigger events that power real-time journey orchestration — from web behaviour through transactional events to product usage signals

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Behavioural Web & App Triggers
Page view triggers (pricing page, specific product category, competitor comparison page), session depth triggers (third visit within 7 days, 5+ pages in a session, session on mobile vs. desktop), scroll depth triggers for long-form content, video completion triggers, form abandonment triggers (started filling but did not submit), and search query triggers that fire when a customer searches for a specific term on-site — all captured in real time via server-side tracking and routed to the journey orchestration platform within seconds of the event occurring.
Web Behaviour
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Transactional & E-Commerce Triggers
Order placed (triggers post-purchase journey), cart abandonment (triggers cart recovery with configurable delay and channel logic), wishlist addition (triggers product availability and price-drop alerts), product review submission (triggers thank-you and cross-sell), return initiated (triggers retention and save sequence), subscription renewal (triggers pre-expiry reminder sequence), and payment failure (triggers payment recovery with empathetic copy and payment update CTA) — all firing within 60 seconds of the transactional event in the e-commerce platform.
E-Commerce
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Product Usage & SaaS Signals
Feature adoption triggers (first use of a key feature triggers adoption celebration and next-step nudge), usage milestone triggers (100 transactions processed triggers upsell introduction), usage decline triggers (activity 40% below 4-week average triggers churn risk alert to CSM and re-engagement sequence to customer), login inactivity triggers (no login in 14 days triggers re-engagement with specific feature context based on last session), and API usage triggers for developer-facing products that indicate integration progress or stall.
Product Signals
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Temporal & Date-Based Triggers
Contract renewal date approaching (90/60/30/14 day pre-renewal journey entry), subscription expiry imminent (upgrade prompt sequence), purchase anniversary (loyalty recognition), birthday (personalised offer with identity-relevant benefit), time since last purchase (replenishment reminder timed to actual purchase cycle not fixed calendar), and inactivity duration triggers (no email open in 90 days triggers re-permission campaign before deliverability is damaged by continued sending to disengaged contacts).
Temporal Logic
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CRM & Support Event Triggers
Support ticket opened (triggers marketing communication suppression for ticket duration — prevents the deeply damaging experience of a customer receiving a promotional email while their complaint is unresolved), deal stage change in CRM (triggers sales-assist content delivery to marketing automation), NPS score submitted (promoter triggers referral programme invitation; detractor triggers service recovery sequence routed to the account manager), and churned customer trigger (begins win-back journey at the configurable interval after churn event).
CRM Events
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Location & Context Triggers
Geofence entry triggers for physical retail (customer within 500m of store triggers mobile push with in-store offer), weather-based triggers (rainy day triggers indoor product category promotions), local event triggers (city-level sporting or cultural event triggers event-relevant communication), and time-of-day intelligent sending that delivers messages when each individual customer's personal engagement history indicates they are most likely to open — not when the campaign manager set the send time.
Context Signals
Service 03

Omnichannel Journey Design & Cross-Channel Coordination

Omnichannel journey design is not the same as multi-channel marketing — and the distinction matters enormously for orchestration architecture. Multi-channel marketing means using multiple channels to send messages about the same campaign or promotion — an email, an SMS, a push notification, all saying "our sale ends Sunday." Omnichannel journey design means each channel plays a specific, coordinated role in a single customer journey — email delivering the considered, information-rich content that a customer reads at their desk; SMS delivering the time-sensitive nudge that cuts through when the email is not opened; push delivering the in-the-moment contextual trigger that only makes sense when the customer has your app open; in-app delivering the feature-specific guidance that is only relevant when the customer is using the product; and web personalisation delivering the experience that meets the customer where they arrived from, showing relevant content rather than the generic homepage that treats every visitor identically.

SourceMash designs the channel role framework for each journey — which channel is primary, which is secondary (fallback if primary is not engaged within a time window), and which channels are actively suppressed during specific journey stages to prevent communication overload. We configure cross-channel coordination in the journey orchestration platform so that an email open suppresses the SMS follow-up that would have been sent 4 hours later, a push notification tap advances the customer to the next journey stage without requiring the email click that was the original intended trigger, and a paid retargeting audience is updated in real time as customers convert to remove them from ads before they see an ad for a product they already purchased.

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Omnichannel — Channel Coverage
SourceMash omnichannel practice
Channels Orchestrated Email, SMS, Push, In-App, Web, Paid
Cross-Channel Suppression ✓ Real-time, event-driven
Paid Media Audience Sync Google, Meta, LinkedIn real-time
WhatsApp Business API ✓ WABA integration supported
Frequency Capping Per channel + cross-channel total
Channel Preference Management Customer-controlled opt-in per channel

Channel-Specific Design — Role, Timing, and Content in Omnichannel Journeys

Each channel playing a distinct, coordinated role in the journey — not the same message on every channel simultaneously

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Email — Primary Consideration Channel
Email carries the information-rich, considered content that customers engage with at their desk: case studies, comparison guides, personalised product recommendations with social proof, onboarding tutorials, and renewal benefit summaries. Journey role: primary channel for nurture and retention content, triggered by engagement signals. Suppressed when SMS or push has already driven the conversion. Subject line and send-time optimised per individual using engagement history data.
Consideration & Nurture
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SMS & WhatsApp — Urgency & Transactional
SMS and WhatsApp carry the time-sensitive, high-priority messages that cannot wait for an email open: flash sale countdowns, payment failure recovery, appointment reminders, shipping notifications, and abandoned cart recovery when email has been ignored for 4+ hours. WhatsApp Business API enables rich media messages with images and CTA buttons for higher engagement than plain SMS. Journey role: secondary fallback and urgency layer — only fires when email is not engaged within the time window, or for transactional messages that are time-critical by nature.
Urgency & Transactional
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Push Notifications — In-Moment Context
Push notifications carry in-the-moment contextual messages to mobile app users: feature discovery nudges, re-engagement when the app has not been opened in 7 days, personalised product drops for the specific categories each customer browses, location-based triggers when within range of a physical location, and time-sensitive offers calibrated to the customer's historical app open behaviour. Journey role: mobile re-engagement and in-app context — never used for considered content that requires sustained attention, always short, specific, and actionable.
In-App & Mobile
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Web Personalisation — On-Site Experience
Real-time website personalisation that changes the on-site experience based on the customer's journey stage and behaviour — returning visitors from email campaigns seeing the specific product category they clicked in the email rather than the homepage; trial users seeing upgrade prompts on product pages relevant to their usage patterns; high-intent prospects seeing social proof and urgency elements on pricing pages; and lapsed customers seeing win-back offers rather than new customer acquisition messaging. Delivered via Optimizely, Dynamic Yield, or native CMS personalisation API.
On-Site Experience

Paid Media Synchronisation in Journey Orchestration

Keeping paid media audiences in sync with journey stage — the most underimplemented capability in omnichannel orchestration

01
Audience Suppression on Conversion
Real-time removal of converted customers from acquisition ad audiences — preventing the brand-damaging experience of showing ads for a product a customer purchased 20 minutes ago. Customer Conversions API (Meta) and Google Ads Customer Match updated within minutes of purchase event in the orchestration platform.
02
High-Intent Retargeting Escalation
Customers who visit the pricing page 3+ times without converting are added to a high-intent paid retargeting audience — showing a different ad creative (ROI focus, testimonial, free trial CTA) to prospects who have shown purchase intent rather than the same brand awareness ad served to cold audiences.
03
Lookalike Audience Generation
Automated lookalike audience creation from journey-defined high-value segments — customers who completed onboarding and expanded within 90 days used as the seed audience for lookalike acquisition campaigns that target prospects with similar firmographic and behavioural profiles to the best customers.
04
Win-Back Paid Retargeting
Churned or lapsed customers who have not responded to email or SMS win-back sequences added to paid retargeting audiences as a last-resort channel — showing personalised creative based on their previous purchase category, with win-back offers calibrated to their LTV tier, on the social and display channels where they remain reachable despite email disengagement.
SERVICE 04

Journey Personalisation & AI-Driven Decisioning

Personalisation in journey orchestration exists on a spectrum from the trivial (using first name in an email subject line) to the genuinely impactful (using a customer's complete purchase history, browsing behaviour, product usage signals, and segment membership to determine the specific product, message, channel, and timing that is most likely to produce the next desired action from that specific customer at this specific moment in their relationship with the brand). Most organisations are operating in the lower half of this spectrum — not because the data is unavailable, but because the infrastructure to connect the data to the decisioning engine in real time has not been built. The customer's browsing history is in the website analytics tool, the purchase history is in the e-commerce platform, the support history is in the CRM, and the email engagement history is in the MAP — and none of these systems are talking to each other in real time in a way that enables the decisioning engine to see the full picture before it decides what to send.

SourceMash builds the data connections and AI-driven decisioning models that enable genuine personalisation at scale — next-best-action models that evaluate every eligible communication for each customer and select the one most likely to produce the desired outcome, send-time optimisation models that predict the specific hour each individual customer is most likely to open and engage with email, and product recommendation models that surface the most relevant product for each customer based on collaborative filtering and content-based signals. We implement these models within the orchestration platform's native AI capabilities (Salesforce Einstein Decisioning, Adobe Journey Optimizer AI, Braze Intelligence) or as external ML model outputs integrated via API where the native capabilities do not cover the specific requirement.

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Personalisation & AI — Capabilities
SourceMash AI personalisation practice
Next-Best-Action Decisioning Real-time per customer
Send-Time Optimisation Individual-level, ML-predicted
Product Recommendation Collaborative filtering + content
Dynamic Content Blocks Segment + individual level
Churn Propensity Scoring Predictive, ML-based
AI Content Generation Subject line, copy personalisation

Personalisation & AI Capabilities We Implement

From individual-level send-time prediction through next-best-action decisioning to AI-generated personalised copy

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Next-Best-Action Decisioning
Real-time NBA (Next Best Action) decisioning engine — evaluating every eligible communication for each customer at each trigger moment and selecting the action most likely to produce the desired outcome based on the customer's profile, current journey stage, recent behaviour, and response history. Implemented via Salesforce Einstein Decisioning, Adobe Journey Optimizer's AI-powered decisioning, or custom ML model outputs integrated via API for organisations with proprietary customer data that the native platform models cannot access.
AI Decisioning
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Individual Send-Time Optimisation
ML-based send-time prediction at the individual level — analysing each subscriber's historical email open behaviour by hour of day and day of week to predict the specific hour each individual is most likely to open the next email. Produces a 20–35% improvement in open rates versus fixed send-time campaigns by delivering each email at the moment each individual is most likely to be in their inbox with attention available. Implemented via Braze Intelligent Timing, SFMC Einstein Send Time Optimisation, or Iterable Smart Schedule.
Send-Time AI
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Personalised Product Recommendations
Product recommendation engine integrated into journey content — collaborative filtering (customers similar to you also viewed/purchased) and content-based filtering (products in categories and at price points consistent with this customer's history) to surface the specific products most likely to be relevant for each individual customer in each communication. Implemented via a recommendation engine (Recombee, Dynamic Yield, SFMC Einstein Recommendations) with real-time API calls at email render time so recommendations reflect the customer's behaviour up to the moment of email open.
Product Recs
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Dynamic Content & AMPscript Personalisation
Email and message template design with dynamic content blocks that render different content for different audience segments — different hero images by product category interest, different social proof by industry vertical, different pricing by customer tier, and different CTA copy by journey stage — within a single email template that requires one creative brief and one production workflow rather than separate templates for each segment. Including AMPscript (SFMC), HubSpot personalisation tokens, and Marketo velocity scripting for conditional content logic at individual level.
Dynamic Content
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Predictive Churn & Propensity Models
ML-based propensity models that score each customer on the likelihood of a specific future behaviour — churn propensity (probability of not renewing or cancelling) that triggers proactive retention journeys before the customer disengages; purchase propensity for upsell and cross-sell (probability of purchasing the next tier or adjacent product) that triggers expansion journeys at the moment each customer's propensity peaks; and win-back propensity for lapsed customers (identifying which churned customers have the highest probability of reactivating) to prioritise win-back investment.
Predictive Models
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AI-Generated Personalised Copy
LLM-powered subject line and email copy personalisation at the individual level — generating personalised subject line variants from the customer's product interest signals, location, and engagement history that perform significantly above generic variants for high-value segments. A/B testing framework to validate AI-generated variants against human-written controls before broad deployment. Implemented via SFMC Einstein Copywriting AI, HubSpot AI tools, or custom GPT-4 / Claude integration via API for organisations with specific tone-of-voice and brand guideline requirements.
Generative AI
35%
Avg. open rate lift from individual send-time optimisation
4x
Avg. CTR improvement with AI-personalised product recommendations
28%
Avg. churn reduction with propensity-triggered retention journeys
60%
More revenue per email with dynamic personalised content vs. generic
Service 05

Customer Lifecycle Journey Programmes

A journey orchestration programme is not a single journey — it is a system of interconnected journeys that cover every significant moment in the customer lifecycle, with clear handoffs between journeys and clear rules about which journey takes precedence when a customer qualifies for multiple simultaneously. The organisations that extract the most value from journey orchestration investment are those that have designed the full lifecycle programme — from the moment a contact enters the ecosystem through every significant lifecycle event — rather than building individual journeys in isolation and discovering afterwards that they conflict, overlap, or leave significant lifecycle moments unaddressed.

SourceMash designs and builds the full customer lifecycle journey programme — every journey, every transition rule, every suppression condition, and the priority hierarchy that determines which journey takes precedence when a customer qualifies for multiple simultaneously. We also build the monitoring framework that makes the programme visible to the marketing operations team: which journeys each customer is in, how many customers are at each stage of each journey, where customers are dropping out, and which journey branches are underperforming against their KPIs.

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Lifecycle Programmes — Scope
SourceMash lifecycle orchestration engagements
Journey Types in Programme 8–14 journeys (full lifecycle)
Journey Transition Logic Automatic, event-driven
Programme Monitoring Dashboard ✓ Journey-level visibility
Priority Hierarchy Design Conflict resolution rules
B2B or B2C Both — industry-specific design
Post-Launch Optimisation Continuous — A/B + data review

The Full Lifecycle Programme — Journeys We Design & Build

Every significant customer lifecycle moment covered by a designed, triggered journey — not left to ad-hoc broadcast communication

icon Welcome & First-Session Journey
Triggered at opt-in or first account creation — a multi-message welcome series that establishes brand voice, sets expectations for the communication programme, delivers immediate value (offer, content, feature highlight), and asks the progressive profiling questions that improve segment accuracy before the nurture journey begins. Channel: email primary, push secondary for app registrations. Typical duration: 5–7 days.
icon Lead Nurture & Qualification Journey
B2B demand generation journey from lead capture to MQL — educational content sequences triggered by specific page visits and content downloads, lead score monitoring with automatic MQL handoff to sales, and sales-assist email delivery (ROI calculator, case study, competitive comparison) triggered by deal stage changes in the CRM. Journey length: variable, score-threshold-based rather than time-based.
icon Abandoned Browse & Cart Recovery
Tiered recovery sequence: browse abandonment email 1 hour post-session (no pressure, contextual product showcase); cart abandonment email 1 hour post-cart-add (product details, social proof); SMS 4 hours post if email not opened (urgency copy with direct cart link); second email 24 hours with social proof and scarcity signal; final email 48 hours with incentive (for high-LTV segments only, to protect margin on lower-value audiences).
icon Post-Purchase Onboarding Journey
Triggered at purchase or subscription activation — a usage-milestone-based onboarding journey that delivers the next piece of guidance when the customer reaches each adoption milestone rather than on a fixed schedule. Celebrates progress, surfaces relevant next steps, alerts the CSM team when a customer stalls at any milestone, and escalates to human intervention when engagement signals indicate churn risk in the critical first 30 days.
icon Upsell & Expansion Journey
Propensity-triggered expansion communication — upsell journey entry triggered when a customer's usage patterns indicate readiness for the next tier (approaching usage limits, adopting advanced features, team size growth signals in SaaS); cross-sell journey entry triggered by purchase behaviour that indicates affinity for adjacent products. Never sent to customers below the propensity threshold or during active support interactions.
icon Churn Risk & Retention Journey
Proactive churn prevention triggered at the first signs of engagement decline — usage drop, login inactivity, support ticket pattern indicating frustration, NPS score decline. Journey delivers re-engagement content, surfaces features the customer has not yet adopted, offers a human success touchpoint for high-value accounts, and routes confirmed at-risk accounts to the account manager before the renewal conversation becomes urgent and difficult.

Additional Lifecycle Journeys We Build

The remaining lifecycle coverage that completes a full-programme design

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Renewal & Contract Expiry Journey
Renewal communication programme beginning 90 days before contract expiry — value summary at 90 days (remind the customer what they have achieved with your product), benefit reminder at 60 days, renewal offer and pricing at 30 days, urgency sequence at 14 and 7 days, lapsed renewal recovery at 1–3 days post-expiry with grace period offer, and account manager alert if renewal is not confirmed 14 days before expiry so a human conversation can supplement the automated sequence for strategic accounts.
Renewal
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Win-Back & Re-Engagement Journey
Systematic re-engagement of lapsed or churned contacts — re-engagement sequence at 30, 60, and 90 days of inactivity with progressively stronger incentives for high-LTV segments; personalised win-back email for churned customers at 30 and 90 days post-churn with reason-specific messaging based on churn reason data; sunset sequence at 180 days of non-response that removes persistently unengaged contacts from active sending lists before they damage sender reputation; and paid media win-back retargeting as a last-resort channel for email-unreachable churned customers.
Win-Back
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Loyalty & Advocacy Journey
NPS promoter-triggered advocacy programme — promoters (score 9–10) automatically receive referral programme invitation, review request on the most relevant platform (G2, Google, Trustpilot, App Store depending on product type and customer segment), case study participation invitation for enterprise accounts, and community or ambassador programme invitation for engaged power users. Milestone-based loyalty recognition for repeat purchasers: purchase milestone celebration with personalised reward, anniversary recognition, and VIP tier upgrade notification.
Advocacy
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ABM Account Journey
Account-level journey orchestration for ABM programmes — target account engagement heat score calculated by aggregating individual contact engagement within each target account, with account journey advancement triggered when the aggregate score crosses defined thresholds. Journey delivers account-level content (industry-specific case studies, executive-relevant ROI content) to the identified buyer committee contacts, and alerts the account executive when a target account reaches an engagement level that indicates an active buying cycle is underway.
ABM
Service 06

Journey Measurement & Continuous Optimisation

A journey orchestration programme that is not continuously measured and optimised is a programme that improves until the day it goes live and then slowly degrades as customer behaviour evolves, product and content changes make specific messages stale, and the journey architecture that was designed for last year's customer base diverges from this year's. The open rate that made a subject line a winner in Q1 may decline in Q3 when the audience has seen the same pattern ten times. The offer that converted at 8% in January may convert at 4% in June when the competitive landscape has changed. The channel mix that drove the best results in 2024 may underperform in 2025 as mobile notification preferences shift. Measurement and optimisation is not a project that ends — it is the ongoing operating model of a high-performing journey programme.

SourceMash implements the measurement infrastructure that makes journey performance visible — journey-level funnel analytics, revenue attribution by journey and channel, A/B test cadences that continuously improve the highest-leverage decision points in each journey, and the quarterly journey review process that evaluates the programme architecture against evolving customer behaviour and business objectives. We also implement the frequency and fatigue monitoring that detects when a customer is receiving too many messages across all active journeys — before the unsubscribe rate increase tells you it has already happened.

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Measurement & Optimisation — Scope
SourceMash journey analytics practice
Journey-Level Funnel Analytics Per-stage conversion visibility
Revenue Attribution by Journey First touch, last touch, multi-touch
A/B Test Cadence Monthly — highest-leverage decisions
Frequency & Fatigue Monitoring Cross-channel daily limits
Quarterly Programme Review Architecture vs. current behaviour
Dashboard Tools Power BI, Looker, native MAP

Journey Measurement & Optimisation Capabilities

The analytics, A/B testing, and optimisation infrastructure that makes journey programmes improve continuously rather than plateau after go-live

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Journey Funnel Analytics
Per-journey funnel reporting — volume of customers entering each journey stage, conversion rate to the next stage, drop-off rate and reason analysis at each stage (did not open, opened but did not click, clicked but did not convert), time spent at each stage before advancing or dropping out, and cohort analysis comparing journey performance for customers entering at different time periods or via different entry points. Visualised in the orchestration platform's native reporting or in Power BI / Looker for cross-journey comparison.
Funnel Analytics
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Revenue Attribution by Journey
Journey-level revenue attribution — tracking the revenue generated or influenced by each journey in the programme, with multi-touch attribution that distributes credit across all the journey messages a customer engaged with before converting. Journey ROI calculation: revenue attributed to journey vs. cost of the journey (content production, platform cost, and the offer value of any incentive). Enables marketing leadership to rank journeys by ROI and prioritise optimisation investment on the highest-value journeys in the programme.
Revenue Attribution
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A/B Testing Programme
Structured monthly A/B testing programme — prioritising the journey branch decisions with the highest traffic volume and the widest gap between the best and worst plausible variant (where the potential upside from optimisation is largest). Test types: subject line (most common, fastest results), send time (individual vs. fixed vs. send-time-optimised), content variant (social proof vs. urgency vs. education), journey branch logic (which trigger produces higher conversion), and offer structure (discount vs. free upgrade vs. extended trial for conversion journeys).
A/B Testing
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Frequency & Fatigue Management
Cross-journey frequency governance — configuring daily and weekly maximum contact limits in the orchestration platform that apply across all active journeys simultaneously, so a customer who is in three journeys simultaneously cannot receive more than the defined total messages per day across all of them. Fatigue monitoring that tracks unsubscribe rates and complaint rates per segment and per frequency tier, with automatic frequency reduction for segments showing elevated fatigue signals before the fatigue becomes a deliverability problem.
Fatigue Control
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Quarterly Journey Programme Review
Structured quarterly review of the full journey programme — evaluating each journey's KPI performance against the targets set at design stage, identifying journeys where customer behaviour has evolved in ways that make the current design suboptimal, recommending architecture changes (new trigger events, new journey stages, new suppression rules, retired journeys) that bring the programme back into alignment with current customer behaviour and business objectives. Delivered as a prioritised optimisation roadmap with effort and impact estimates for each recommended change.
Programme Review
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Real-Time Journey Monitoring Dashboard
Operational monitoring dashboard for the marketing operations team — real-time visibility into how many customers are currently active in each journey stage, journey error alerting (failed API calls, failed sends, journey logic errors that prevent customers from advancing), volume trend monitoring that detects unexpected drops in journey entry volume (indicating a data feed or trigger logic problem upstream), and deliverability health monitoring (open rate, bounce rate, complaint rate) across all active journey communications.
Ops Monitoring
Industry Solutions

Journey Orchestration for Your Industry.

Customer journey dynamics, channel mix, trigger event availability, and regulatory constraints differ significantly across sectors. We design journeys specific to the purchase decision dynamics and compliance context of each industry.

Retail & E-Commerce
Revenue Lifecycle Orchestration
  • Browse abandonment → cart recovery → purchase confirmation orchestrated series
  • Post-purchase onboarding with cross-sell recommendations timed to delivery
  • Replenishment journey timed to individual purchase cycle, not fixed calendar
  • Loyalty tier progression milestones with personalised celebration sequences
  • Seasonal and sale event journeys with urgency countdowns and exclusivity cues
  • Price drop and back-in-stock alerts for wishlisted and abandoned products
B2B SaaS & Technology
Product-Led & Sales-Assist Journeys
  • Trial onboarding journey with feature adoption milestones and churn-risk alerts
  • Free-to-paid conversion journey triggered by usage limit approach signals
  • Sales-assist journeys delivering case studies and ROI content to CRM-active deals
  • Renewal journey coordinated with CSM communication — no conflicting messages
  • NPS promoter-triggered referral and G2 review request automation
  • ABM account heat-score journey with sales alert at buying-intent threshold
Banking & Financial Services
Compliant, Personalised Journeys
  • Lead-to-application journey for loan, investment, and insurance products
  • KYC completion journey with regulatory document upload reminders
  • Portfolio review and advisory touchpoint orchestration for wealth clients
  • Renewal reminder journey for insurance policies and fixed deposits at maturity
  • Regulatory communication integrated into journey suppression rules
  • RBI and SEBI compliant promotional content with mandatory disclosure automation
Healthcare & Life Sciences
Patient & HCP Journeys
  • Patient appointment reminder and pre-visit preparation journey
  • Post-procedure follow-up and care plan adherence nudge sequence
  • Medication adherence reminder journey with clinical outcome tracking
  • HCP education journey with CME content and clinical study delivery
  • Clinical trial recruitment journey with eligibility screening automation
  • Pharma MR digital detailing journey with call scheduling and follow-up
Hospitality & Travel
Pre & Post Trip Journeys
  • Booking confirmation to check-in preparation journey with upsell integration
  • Pre-arrival journey with personalised local recommendations and upgrade offers
  • Post-stay review request and loyalty point notification sequence
  • Lapsed guest win-back journey with personalised destination offers
  • Anniversary and milestone re-booking prompt journey
  • Membership tier progression and benefit reminder orchestration
Education & EdTech
Enrolment & Engagement Journeys
  • Enquiry-to-application nurture with programme-specific content tracks
  • Application completion nudge journey with deadline urgency sequence
  • Enrolled student onboarding and community engagement journey
  • Early engagement monitoring with at-risk student intervention triggers
  • Course completion nudge and continuation upsell journey
  • Alumni re-engagement and continuing education journey programme
Integration Ecosystem

Data Sources & Systems We Connect into Journey Orchestration.

Real-time journey orchestration requires connecting every system that holds relevant customer data and every channel through which you can reach the customer — we design and build those connections as part of every orchestration engagement.

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Salesforce CRM
Contact & Deal Events
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HubSpot CRM
Lead & Lifecycle
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Segment CDP
Unified Events
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Shopify / WooCommerce
E-Commerce Events
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Google Analytics 4
Web Behaviour
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Google Ads / Meta
Paid Audience Sync
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LinkedIn Ads
B2B Retargeting
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WhatsApp Business
Conversational
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Snowflake / BigQuery
Data Warehouse
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Zendesk / Freshdesk
Support Events
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Product Analytics
Mixpanel / Amplitude
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REST / Webhook APIs
Custom Systems
Client Testimonials

What Our Clients Say

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Before the SourceMash journey programme, our "marketing" was three people managing a database of 400,000 contacts and sending two campaigns a week. We were batching and blasting — every subscriber receiving the same email on the same day regardless of what they had done, what they had bought, or what they were interested in. Our unsubscribe rate was climbing, our open rate had fallen below 12%, and email revenue was declining despite our database growing. SourceMash's full lifecycle journey programme replaced every batch campaign with triggered journeys — cart abandonment, browse recovery, post-purchase cross-sell, replenishment reminders, win-back. In six months, email revenue is up 54%, our unsubscribe rate is down 48%, and our open rate is back above 35%. We are sending fewer total emails and generating significantly more revenue from each one.

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Anita Sharma
Head of E-Commerce, Zestora Fashion
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Our free trial-to-paid conversion had plateaued at 18% for two years — we had tried adding more emails to the trial period, different offer structures, earlier sales outreach — but nothing moved the needle significantly. SourceMash's diagnosis was precise: we were sending onboarding communication on a fixed day-1, day-3, day-7 schedule that bore no relationship to what users had actually done in the trial. A user who had already completed our three key activation milestones on day 2 was still receiving day-1 onboarding content on day 3. A user who had not logged in since sign-up was not receiving any intervention until day 7. The rebuilt journey programme triggers every message on product behaviour — you complete milestone 1, you get milestone 2 guidance immediately; you go 3 days without logging in, you get a re-engagement push the same day. Trial-to-paid conversion is now 24.8% — a 38% improvement — and first-year churn has fallen 31%.

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Vivek Rao
VP Product & Growth, TalentOS
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We operate in a highly regulated environment where the wrong marketing communication at the wrong moment creates both compliance risk and customer relationship damage. Our previous approach was conservative to the point of ineffectiveness — generic emails, no personalisation, minimal automation because nobody was confident in what was permissible. SourceMash designed a journey architecture that is simultaneously compliant with RBI guidelines and genuinely personalised — the suppression rules that prevent marketing sends during active complaints or during mandatory regulatory communication windows are built into the journey logic rather than managed manually. The result is a programme that our compliance team has approved without reservation and that has improved lead-to-application conversion by 42% by delivering the right product information to prospects at the moment they are actively evaluating options.

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Priya Desai
Chief Marketing Officer, NoviFin NBFC
Insights & Thought Leadership

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Ready to Move From Scheduled Campaigns to Journeys That Respond to Your Customer?

Tell us about your current journey situation — a first orchestration programme you need to design from scratch, an existing automation programme that is not coordinated across channels, a batch-and-blast email approach you need to replace with triggered journeys, or a specific lifecycle moment (cart recovery, churn prevention, onboarding) where you need a high-performing journey immediately — and our journey orchestration team will respond within 24 hours with a practical assessment and a proposed path forward.

Common Questions

Frequently Asked Questions

Everything you need to know before reaching out to us.

What is the difference between journey orchestration and marketing automation?

Marketing automation and journey orchestration are related but distinct disciplines — and most organisations that think they are doing journey orchestration are actually doing multi-channel marketing automation without the orchestration layer that coordinates between them. Marketing automation automates individual sequences: when a lead downloads a whitepaper, send emails on days 1, 3, 7, and 14. When a customer abandons a cart, send an email an hour later. Each automation sequence operates independently — it does not know whether the customer is also in another sequence, whether they have already converted via a different channel, or whether they received a conflicting communication from the sales team yesterday. Journey orchestration adds the coordination layer that sits across all of these individual automations and manages the customer's overall experience as a coherent whole — deciding, for each customer at each moment, which message to send (or to suppress), on which channel, based on their complete real-time state across every touchpoint. A customer who converted via an ad at 2pm on Wednesday should not receive the cart abandonment email at 4pm. A customer in a renewal journey who opens a support ticket should have all promotional communication paused until the ticket is resolved. A customer who has already received three messages this week across email, SMS, and push should not receive a fourth. These are orchestration decisions — they require a decision engine that sees the customer's complete state, not individual automations that only see their own sequence.

What data do we need in place before we can build real-time journey triggers?

Real-time trigger architecture requires three things: event collection, event routing, and orchestration platform ingestion. Event collection means capturing customer behaviour as discrete events in real time rather than in nightly database exports — a "product page viewed" event captured via JavaScript or server-side API when it happens, not derived from a session summary report the next morning. Event routing means sending those events to a streaming pipeline (Segment, Kafka, AWS Kinesis, or the orchestration platform's native event API) in real time rather than batching them into a file and uploading it. Orchestration platform ingestion means the MAP or journey orchestration platform receiving those events via API or webhook and evaluating journey entry conditions against them immediately. Most organisations are strong on the data — the purchase records exist, the page views are tracked in GA4, the product usage data is in the product analytics tool — but weak on the infrastructure that makes that data available to the orchestration platform in real time. The typical gap is the real-time event pipeline from the e-commerce platform or product analytics tool into the orchestration platform: data that exists in Mixpanel or Shopify as events does not automatically flow to SFMC or HubSpot in real time without a Segment integration or a direct API connection. We assess this data infrastructure gap as part of every orchestration strategy engagement and include the pipeline architecture in the implementation scope where the real-time data connections do not already exist.

How do we manage frequency when a customer qualifies for multiple simultaneous journeys?

Cross-journey frequency management is one of the most technically important and least discussed aspects of journey orchestration programme design — and it is the one that produces the most visible failure mode when it is absent: customers who are in three simultaneous journeys receiving five or six messages in a day from the same brand, triggering the unsubscribe that removes them from the programme entirely. The solution requires two complementary approaches: a priority hierarchy that defines which journey's communication takes precedence when multiple journeys are eligible (acquisition messages paused when customer is in onboarding; promotional content suppressed during active support interaction; renewal journey trumps win-back if a customer converts back), and a cross-journey daily and weekly communication cap that the orchestration platform enforces across all active journeys simultaneously. When the daily cap is reached for a customer, lower-priority journey communications are queued rather than sent, ensuring the highest-priority message is delivered and the lower-priority ones are not lost but deferred. We design this frequency governance framework as part of every journey programme architecture — it is not an optional refinement to add after go-live, because the negative effect of communication overload appears immediately and damages the programme's deliverability foundation.

How do we measure whether our journey orchestration programme is working?

Journey programme measurement should operate at three levels: journey-level engagement metrics, business outcome metrics, and programme-level health metrics. At the journey level, the primary metrics are: journey entry rate (are the right volume of customers entering each journey?), stage advancement rate (what percentage of customers who enter each stage advance to the next?), drop-off rate per stage (where are customers exiting the journey, and is that by design or by abandonment?), and time-to-outcome (how long does it take customers to move from journey entry to the desired conversion event?). At the business outcome level, the metrics are: revenue directly attributable to journeys (using last-touch attribution for transactional journeys like cart recovery, and multi-touch attribution for consideration journeys), retention rate for customers who completed the onboarding journey versus those who did not, renewal rate for customers who went through the renewal journey versus those who did not, and NPS score for customers who went through the advocacy journey. At the programme health level: total programme unsubscribe rate (rising unsubscribes are an early warning of communication overload or relevance failure), deliverability rate (inbox vs. spam folder rate, indicating sender reputation health), and channel performance trends (email open rate, SMS click-to-open, push tap rate) that indicate fatigue or message relevance issues before they become structural problems. We build these three measurement layers into the orchestration programme during implementation so the data is available from day one of go-live.

How long does it take to design and launch a journey orchestration programme?

A practical journey orchestration programme can be designed and launched in 10–16 weeks, depending on the number of journeys in scope, the complexity of the data infrastructure required to support real-time triggers, and the content production capacity of the team. The most common timeline risk is content production — the journey architecture and platform configuration can be completed in 6–8 weeks, but launching requires content for every message in every journey, which for a programme of 8–10 journeys covering the full lifecycle can mean 40–60 individual emails, SMS messages, and push notifications requiring copy, design, review, and approval. Our recommended approach for organisations with limited content production capacity is to prioritise the high-ROI journeys — cart abandonment recovery, post-purchase onboarding, and win-back are typically the fastest to produce and the highest revenue impact per message — and launch these first while the lower-priority lifecycle journeys are being content-produced in parallel. This staged launch approach means the programme is producing measurable results from week 10–12 while the full programme continues to be built out over the following quarter, rather than waiting until all content is ready for a simultaneous full-programme launch that extends the go-live timeline by 4–6 weeks.