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Hightouch CDP connects your warehouse to your campaigns. Mavlers ensures those campaigns generate revenue

Most Hightouch CDP setups stop at the sync. With Hightouch integrations, audiences flow into your CRM or marketing automation platform, and campaigns go live but don't perform. Mavlers adds what's missing - a strategy layer on top of Hightouch, with activation-ready data, optimized journeys, and revenue-backed measurement.

Get first revenue-ready audiences in your MAP in 2 weeks.

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Data flows. Revenue doesn't. Been there?

Raw audiences icon

Raw audiences, no lifecycle logic

Audiences sync into your MAP/CRM with Hightouch integrations, but without lifecycle rules/r value tiers, everyone is treated the same. Campaigns run; revenue doesn't scale.

Fragmented profiles icon

Fragmented profiles, no 360 view

Customer data sits across tables with no unified identity. The same user appears multiple times, and that fragmentation flows downstream, limiting the depth of personalization.

Static segments icon

Static segments, constant SQL dependency

Every new audience depends on engineering, which has a 3-day backlog. Delays stack up, and self-serve activation never materializes because the data model isn't built for it.

No behavioral depth icon

No behavioral depth in journeys

Journeys run on schedules, not signals. Key triggers like churn risk or engagement never make it into activation, keeping campaigns shallow.

Users duplicated icon

Users duplicated across systems

Anonymous, mobile, and known users stay disconnected. Without identity resolution, duplicates flow into every channel, wasting spend and skewing targeting.

No ROI visibility icon

No ROI visibility

With Hightouch CDP, data syncs and campaigns go live, but revenue impact is unclear. Without attribution, Hightouch remains a cost center.

Mavlers' 3-phase data-to-revenue activation framework

Phase01

Activation foundations

Weeks 1–4

What happens here

  • Hightouch audit: existing syncs, SQL model quality, destination health, schema drift issues.
  • Data foundation assessment: dbt model coverage, identity resolution gaps, attribution architecture.
  • Define 8–12 activation use cases ranked by revenue impact.
  • Deploy core audience syncs and first attribution pipeline.
What you get: Audit report + first core audiences live
Phase02

Lifecycle enablement

Weeks 4–8

What happens here

  • Build full dbt mart layer: RFM, LTV tiers, churn risk, product affinity, lifecycle stage.
  • Configure identity resolution across warehouse and activation layer.
  • Activate key behavioral journeys in downstream MAPs using Hightouch-synced attributes.
  • Paid suppression live: converted customers and active subscribers excluded from Meta, Google, TikTok. Hightouch Audience Hub set up for marketer self-serve.
What you get: dbt models + behavioral journeys + suppression active
Phase03

Revenue optimization

Weeks 8–12, then ongoing

What happens here

  • Deploy advanced segmentation: predictive LTV models, Hightouch AI Decisioning for next-best-action. A/B testing framework for audience splits.
  • Attribution model: every sync tied to warehouse-verified revenue. Board-ready reporting dashboard.
  • Quarterly optimization cycles: new signals activated, journey logic sharpened, models recalibrated.
What you get: Predictive models + board ROI dashboard

Is your Hightouch CDP setup built for activation, or just sync?

Because without the right data models and identity layer, activation falls short. Mavlers builds the full Hightouch data activation stack for you.

From data to marketing revenue - case studies that show how it's done

Global e-commerce: warehouse audiences to Klaviyo revenue

Industry

Global e-commerce · B2C · 4M+ customers

Challenge

Hightouch connected Snowflake to Klaviyo, but audiences were raw; no LTV tiers, affinity, or predictive signals. Every update required SQL, slowing marketing. No attribution to revenue.

Solution

Mavlers built a dbt mart layer (RFM, LTV deciles, product affinity, next purchase prediction), restructured Hightouch models, enabled self-serve via Audience Hub, and implemented attribution tying Klaviyo sends to warehouse revenue.

Outcome

  • +28% revenue per email.
  • 94% reduction in SQL dependency.
  • Board-ready ROI reporting in 8 weeks.
  • $120K/year saved via paid suppression.
Case study 01: revenue per email, SQL dependency reduction, ROI reporting, suppression savings.

Stack

Snowflake · dbt · Hightouch · Klaviyo · Meta · Google Ads

B2B SaaS: Propensity Scores from warehouse to Braze

Industry

B2B SaaS · 200K+ users · Product-led growth

Challenge

Propensity models existed in Databricks but never reached Braze. Hightouch synced only basic audiences. No lifecycle triggers, no paid suppression, no activation of model outputs.

Solution

Mavlers synced key attributes via Hightouch – churn risk, upgrade propensity, engagement tier, and feature usage. Braze journeys triggered on real signals. Paid suppression and lookalike seeds activated across ad platforms.

Outcome

  • Churn and expansion journeys live in 14 days
  • $280K expansion revenue in 6 months
  • $95K/year saved via paid suppression
  • Data science models activated in campaigns for the first time
Case study 02: expansion journeys, revenue, suppression savings, data science models metrics.

Stack

Databricks · Hightouch · Braze · Google Ads · LinkedIn Insight

*Strict NDAs limit client disclosure; our current engagements include multiple brands and agencies.

Disney
DMA
Ogilvy
National Geographic
Penguin Random House
Incubeta
Oracle
Airtasker

In the words of our clientsheart

Cloth & Co.

Having one partner who can effectively support multiple areas of our digital presence is both efficient and valuable. The partnership works best when you can collaborate...

Daisy Burgess

Operations Manager

The Maze Group

They bring subject matter expertise to every engagement and clearly identify blockers, dependencies, and requirements. They prioritize proactive communication and problem...

Mathew Feuer

Director of Retention

PetLab Co

Mavlers was clear with communication and provided top-level support. We were on a really tight deadline to get a high priority project across the line and without them we...

Scott Bartlett

Director of Retention

A Hightouch setup that works seamlessly across your entire stack

Data warehouse

Platforms
DatabricksSnowflakeGoogle BigQueryAmazon RedshiftPostgreSQL

Schema audit, dbt model layer, identity spine, mart tables for activation

Hightouch data activation

Platforms
Hightouch(Reverse ETL, Audience Hub, Live Events, AI Decisioning)

SQL model configuration, destination setup, sync scheduling, Audience Hub, schema drift monitoring

CRM and engagement

Platforms
BrazeKlaviyoSalesforceHubSpotIterableMarketo

Journey trigger configuration, Custom Attribute mapping, behavioral activation design

Paid Media

Platforms
MetaTikTokLinkedInCriteoGoogle Ads

Suppression syncs, lookalike seed export, conversion audience configuration

Analytics

Platforms
AmplitudeLookerTableauPower BIMixpanel

Metric layer exposure, Hightouch ROI attribution, campaign performance dashboards

AI and modeling

Platforms
Hightouchmlflowdbt

Propensity model configuration, churn prediction, LTV modeling, next-best-action

One partner, full ownership from model to measurement.

No handoffs between data, marketing, and analytics. Just one Mavlers team owning dbt models, identity resolution, Hightouch integrations & activation, and downstream execution.

With Mavlers, add that crucial strategy layer data agencies don't deliver

Hightouch source + destination setup

Hightouch PS / Self-implement

✓Yes

Pure data agency

~Partial

Mavlers

✓Yes
dbt mart layer for lifecycle activation

Hightouch PS / Self-implement

×No

Pure data agency

✓Yes— data only

Mavlers

✓Yes— marketing-first design
Identity resolution before sync

Hightouch PS / Self-implement

×No

Pure data agency

~Sometimes

Mavlers

✓Yes
Behavioral journey configuration in MAP

Hightouch PS / Self-implement

×No

Pure data agency

×No

Mavlers

✓Yes
Paid suppression + lookalike seed export

Hightouch PS / Self-implement

×No

Pure data agency

×No

Mavlers

✓Yes
Churn + LTV propensity models

Hightouch PS / Self-implement

×No

Pure data agency

~Data science hire

Mavlers

✓Yes
Hightouch AI Decisioning configuration

Hightouch PS / Self-implement

~Guidance only

Pure data agency

×No

Mavlers

✓Yes
Attribution model — sync-to-revenue

Hightouch PS / Self-implement

×No

Pure data agency

×No

Mavlers

✓Yes
Marketer self-serve Audience Hub setup

Hightouch PS / Self-implement

~Documentation

Pure data agency

×No

Mavlers

✓Yes
Board-ready Hightouch ROI reporting

Hightouch PS / Self-implement

×No

Pure data agency

×No

Mavlers

✓Yes

Engage your way, wherever you are in your data activation journey

Discovery audit

Best for

Any brand with Hightouch installed but underperforming

What's included

Hightouch setup audit + data model assessment + activation roadmap with revenue estimate

Typical duration

Fixed · 2 weeks

Activation sprint

Best for

New Hightouch setup or post-audit activation

What's included

dbt models + identity layer + Hightouch configured + first audiences live in MAP

Typical duration

Fixed · 6–10 weeks

Growth retainer

Best for

Post-launch — ongoing activation and optimization

What's included

Dedicated Hightouch engineer + dbt analyst + MAP specialist · Monthly OKRs

Typical duration

12+ months · Monthly

AI uplift sprint

Best for

Existing Hightouch setup — adding predictive models

What's included

Hightouch AI Decisioning + Predictive Goals + propensity model setup

Typical duration

Fixed · 4–6 weeks

Tell us about your requirement

We'll get back to you within a few hours!

Select a service

Frequently asked questions

How does Hightouch actually impact revenue?

Revenue impact comes from three mechanisms working together.

  • First, paid suppression: active subscribers and recent converters excluded from Meta, Google, and TikTok within minutes of the triggering event, eliminating wasted spend.
  • Second, behavioral journeys: warehouse-computed propensity scores triggering timely Braze or Klaviyo campaigns rather than calendar-based sequences.
  • Third, attribution: every Hightouch sync traced back to downstream revenue via a warehouse attribution model.

We build all three layers, not just the sync infrastructure.

How do you ensure data synced via Hightouch is usable for marketing?

We build lifecycle-ready dbt models before configuring a single Hightouch sync. Raw warehouse tables (events, transactions, sessions) are transformed into marketing-meaningful attributes: LTV decile, churn risk tier, product affinity, days-since-key-action, lifecycle stage. Hightouch then reads from these structured models rather than raw tables. This means every attribute landing in Braze or Klaviyo is immediately usable for personalization and journey logic, without further transformation in the MAP.

Can Hightouch CDP replace a traditional CDP?

For warehouse-mature organizations, yes, and typically at a fraction of the cost. We design composable CDP frameworks using Hightouch CDP as the activation layer on top of your existing warehouse (Snowflake, BigQuery, Databricks). This gives you identity resolution, audience building, and multi-destination sync without the MTU-based pricing of Segment or the vendor lock-in of Salesforce Data Cloud. We assess your team's data maturity and recommend whether a composable approach fits your activation needs, or whether a full SaaS CDP is the right call.

How do you handle identity resolution across tools?

We implement identity resolution at the warehouse layer before Hightouch syncs anything downstream. This means deterministic matching on email, phone, anonymous ID, and device ID, producing a single canonical customer record. Hightouch then syncs unified profiles to destinations, preventing the fragmentation that occurs when the same person appears as multiple records across Braze, Meta, and your CRM. Identity resolution is built into the dbt model layer we deliver in Phase 2 of every engagement.

What Hightouch integrations do you support?

Hightouch has 200+ native destination connectors. We configure the full range of Hightouch integrations: MAPs (Braze, Klaviyo, SFMC, HubSpot, Iterable, Marketo), CRMs (Salesforce, HubSpot), ad platforms (Meta, Google, TikTok, LinkedIn, Criteo), analytics (Amplitude, Mixpanel, Heap, PostHog), and operational tools (Zendesk, Slack, Intercom). We also configure Hightouch Live Events for sub-60-second trigger delivery to Braze and Iterable, enabling near-real-time behavioral activation from warehouse events.

How quickly can we start seeing results?

Paid suppression syncs are typically live within 2 weeks of engagement start, meaning wasted ad spend reduction begins almost immediately. Core lifecycle audiences in your MAP are typically live within 4 weeks. First behavioral journey revenue impact is usually visible within 4–6 weeks as LTV-tiered and propensity-scored audiences generate measurably different campaign outcomes. Board-ready attribution reporting is delivered at the end of Phase 2, typically week 10–12.

Do marketing teams need SQL knowledge to use this setup?

No. This is one of the primary value propositions of our engagement. We build structured dbt models and configure Hightouch Audience Hub, so your marketing team can create, iterate, and launch warehouse-backed audiences without writing SQL or raising data engineering tickets. The SQL complexity is abstracted into the model layer we own. Post-engagement, the typical outcome is that marketing self-serves 80–90% of their audience requests that previously required engineering involvement.

How do you measure success in a Hightouch setup?

We track success at three levels. Activation metrics: sync success rates, audience freshness, destination delivery confirmation. Campaign metrics: open rates, conversion rates, and revenue per send for journeys powered by Hightouch audiences vs. baseline. Business metrics: incremental revenue attributable to Hightouch-powered campaigns, paid suppression savings, CAC improvement from higher-quality lookalike seeds. All three levels feed into the board-ready attribution dashboard we deliver as part of every engagement.

How secure is our data in this setup?

We work exclusively within your warehouse environment and your Hightouch instance. No customer data touches Mavlers infrastructure at any point. Hightouch itself reads directly from your warehouse via read-only credentials and syncs to your destinations; no data is stored in Hightouch's infrastructure beyond sync state metadata. PII masking and row-level access controls are configured at the dbt model layer so sensitive attributes are excluded from downstream destinations where not needed.

What makes Mavlers different from a Hightouch implementation partner?

Hightouch implementation partners configure the tool correctly - sources, destinations, SQL models, sync scheduling. That is where most engagements end. Mavlers starts there and builds the lifecycle performance layer on top: dbt models designed for revenue activation, behavioral journeys in your MAP, identity resolution before any sync, paid suppression, LTV modeling, and attribution that ties every Hightouch sync to verified business outcomes. Our clients do not just have Hightouch working; they have a documented ROI from it.

Insights to help you win with lifecycle marketing