MarTech & Customer Experience

Connect customer data to personalized experiences.

We connect marketing platforms to unify customer identity, activate audiences in real time, and measure campaign results. Our work spans Adobe, Salesforce, Braze, Segment, Snowflake, and custom systems.

Customer Journey Orchestrator

Example decisioning pipeline

Streaming

Stage 1 / 5

Capture

Connect anonymous and known activity across web, mobile, and offline sources.

Example metric

3.4M events/day

3.4MEvents processed per day

92%Identity match rate across channels

147Behavioral micro-segments live

+38%Customer lifetime value lift

What we build

Connected systems for marketing teams

We connect first-party data collection, audience activation, and revenue attribution so marketing, product, and data teams can work from shared customer profiles.

01

hub

Customer Data Platform

Unify web, mobile, CRM, POS, and server-side events into an identity graph with consent controls and regional data residency.

Segment, RudderStack, mParticle, Tealium
Snowflake / BigQuery / Databricks as source of truth
Identity stitching: deterministic + probabilistic

02

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Personalization & Decisioning

Next-best-action and next-best-offer models that serve the right content per visitor, per channel, in under 150ms.

Adobe Target, Optimizely, Dynamic Yield
Custom NBA models on your warehouse
Edge personalization via Cloudflare / Fastly

03

campaign

Journey Orchestration

Design multi-step, cross-channel journeys that respond to customer behavior in real time.

Braze, Iterable, Salesforce Marketing Cloud
Adobe Journey Optimizer
Triggered email, SMS, push, in-app, web

04

ads_click

Paid Media & Audiences

Use first-party data for audience suppression, expansion, and retargeting, with PII controls and Conversions API integrations.

Meta CAPI, Google Enhanced Conversions
TikTok, LinkedIn, Reddit server-side events
Lookalike modeling off warehouse cohorts

05

query_stats

Attribution & Incrementality

Use multi-touch attribution, geo-lift tests, and cohort LTV analysis to inform audience activation.

Marketing mix modeling (Bayesian)
Geo lift + holdout experiments
LTV-to-CAC cohort dashboards

06

verified_user

Consent, Privacy & Governance

Consent collection, purpose tagging, and deletion pipelines designed around your GDPR, CCPA, and HIPAA requirements.

OneTrust, Didomi, Transcend
Consent-aware event pipelines
Right-to-delete automation

Platforms we deploy

Platforms selected for your customers and data

We assess each tool against your customer journeys, data architecture, and operating needs before recommending changes.

hub

01 / layer

Customer data

Segment

mParticle

RudderStack

Tealium

Snowflake

BigQuery

Live in production

route

02 / layer

Orchestration

Braze

Iterable

Adobe Journey Optimizer

Salesforce Marketing Cloud

Klaviyo

Live in production

auto_awesome

03 / layer

Personalization

Adobe Target

Optimizely

Dynamic Yield

Contentful

Contentstack

Live in production

insights

04 / layer

Analytics & BI

Amplitude

Mixpanel

GA4

Heap

Looker

Hex

Live in production

Proven across industries

MarTech for your industry

Our delivery covers regulated enterprises and DTC brands, with workflows adapted to each industry.

Vertical · 01

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Retail & DTC

Moved a $400M retailer from a legacy ESP to a composable CDP + Braze stack, cutting send cost 38% and lifting repeat purchase rate.

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Outcome shipped

+22% repeat-purchase rate

Vertical · 02

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Financial services

Deployed consent-first onboarding journeys for a top-10 US bank with full auditability and policy-as-code controls.

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Outcome shipped

SOC 2 + GLBA alignment

Vertical · 03

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Healthcare

HIPAA-aligned CDP + patient journey engine for a national provider network, with controls to exclude PHI from ad platforms and personalize in-app experiences.

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Outcome shipped

3.1x portal engagement

Vertical · 04

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Travel & hospitality

Real-time disruption journeys for an airline, including auto-rebooking, refunds, and rebooking offers across email, SMS, and app.

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Outcome shipped

-41% contact center volume

Vertical · 05

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Media & subscription

Churn-risk scoring + winback journeys for a streaming brand. 19% of at-risk subscribers saved through automated interventions.

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Outcome shipped

+19% winback rate

Vertical · 06

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B2B SaaS

PLG-aligned lifecycle journeys use product events to coordinate marketing and customer success at the account level.

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Outcome shipped

2.4x activation velocity

Frequently asked

Questions we hear on every first call

Yes. Most of our work improves existing systems. We assess how your tools support the roadmap and identify integration, configuration, or platform changes where needed.

We apply purpose tags and consent checks to activation pipelines, and automate deletion requests across your warehouse, CDP, and downstream destinations.

Yes. We build composable CDPs on Snowflake, BigQuery, and Databricks using Hightouch, Census, or custom reverse-ETL so your audiences are defined once and activated everywhere.

We measure cohort LTV, incremental revenue, contribution margin per audience, and downstream product engagement. We define and instrument these metrics at the start of the project.

A focused CDP implementation and first orchestrated journey usually take 6 to 10 weeks. A full personalization and measurement layer typically takes 3 to 5 months, with releases every two weeks.

Plan the next step for your marketing systems

Book a 45-minute MarTech audit. We will map your current stack, identify the three most useful improvements, and provide a prioritized 90-day plan.

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