Poor attribution and reporting

One profile, every channel, one attribution model

Ecommerce brands get Maestra Platform as an all-in-one marketing personalization platform, so multi-channel flows like SMS, email, and push all attribute against the same customer record.

Brands running on Maestra

Customer logoCustomer logoCustomer logoSvaha USA logoCustomer logoCustomer logo

The problem

Switching tools should fix attribution, not add to it

Migrating off a legacy platform often means losing the little reporting clarity a team had. New integrations create new gaps, and lean teams end up managing attribution manually across systems that were supposed to make it easier.

What we hear from brands

a coffee brand migrating off Attentive uncertain about KPI accuracy after the switch

an oral-care device startup with one person managing lifecycle campaigns, needing clearer attribution visibility and cost breakdown

a luggage brand juggling separate email, SMS, and reviews platforms with no reliable multi-channel attribution

The new way

One attribution model, fully transparent

Maestra uses last-non-direct-touch attribution to link every campaign, flow, and channel to revenue, and every attributed order can be verified. Teams can adjust attribution windows or exclude transactional messages so the model matches how the business actually works.

Outcomes brands report

2.2x

total US and EU revenue growth year over year

From a published case study

8.6x

campaign-driven revenue growth year over year versus Klaviyo

From a published case study

1.8% to 6.8%

of total revenue attributed to campaigns

From a published case study

Customer proof

G-Plans doubled customer lifetime value in a year

4.8 rating on G2
G2 High Performer, Customer Data Platform

G-Plans needed real-time personalization across segments that Klaviyo could not separate, down to new versus repeat customers. Personalized flows across email, SMS, and mobile push, including retention, re-engagement, and refill reminders, doubled lifetime value within a year.

With this level of personalization, we doubled our customer LTV.
Jon Powell, Head of Experimentation and Conversion Rate Optimization at G-Plans
G-Plans doubled customer lifetime value in a year (Maestra case study)Read the full case study

2x

growth of customer lifetime value in a year

How it works

Two to seven weeks, depending on how complex you are

01

Growing brands: two to four weeks

Smaller, simpler setups move fastest because there is less to rebuild and fewer integrations to test.

02

Nine-figure brands: three to seven weeks

Complex, multi-brand, high-revenue operations take longer, but your forward-deployed marketer still owns 99% of the work.

03

You stay focused on the business

While the timeline runs, your job is limited to granting access and approving the plan. Your old stack keeps operating throughout.

The platform

Enterprise capability without the enterprise build time

Maestra's commerce-specific data model is what lets it deliver enterprise-grade scalability without the usual months of implementation. The engine processes 2M requests per minute at under 300 milliseconds, keeping every module fast enough for live shopper behavior.

Real-time CDPSite personalizationProduct recommendationsMobile push and app personalizationReporting
The Maestra platform interface

Your forward-deployed marketer

The person who actually does the work, not just advises on it

Your forward-deployed marketer does not hand you a strategy deck and disappear. They build the migration, design the flows, run the A/B tests, and stay reachable in a shared Slack channel the whole time.

Done-for-you migration, flows, and A/B tests

Shared Slack channel for real-time questions

Included with every subscription, no extra fee

Replace your stack

Beyond the agency retainer, beyond the point tools

Some brands run an agency retainer on top of a stack of point solutions just to keep campaigns moving. Maestra folds the platform and the hands-on execution into one relationship, so you are not paying separately for tools and for the people who operate them.

Replaces

Klaviyo

Attentive

Yotpo

Nosto

See what Maestra looks like on your data

Bring your current stack and your goals. We will show you where Maestra fits and what changes first.