Transforming Customer Engagement with Braze
Within 90 days of implementation: …
Most Braze implementations use less than 40% of the platform's capability. We close that gap — building Canvas journeys that actually convert, segmentation that reflects real customer behaviour, Liquid personalisation that goes beyond first name, and the measurement framework that proves every campaign's revenue contribution.
Braze is a powerful platform — but power requires configuration. These are the six gaps we most commonly find when we audit an existing Braze implementation.
Every Braze engagement we take on covers specific platform modules — configured, integrated, and optimised to produce measurable revenue impact, not just activity metrics.
We design, build, and continuously optimise Canvas journeys for every lifecycle stage — onboarding, activation, re-engagement, retention, and churn prevention. Each Canvas is built with proper action paths, audience splits, exception paths, and A/B tested variants. We also audit existing Canvases and identify performance improvements without rebuilding from scratch.
We design the segmentation strategy that makes every campaign more relevant — building segments on event counts, RFM tiers, product affinity, churn score, engagement recency, and custom attribute combinations. We also configure Segment Extensions for complex behavioural queries and set up predictive churn and predictive purchase audiences where appropriate.
We build Liquid templates that make every message genuinely personal — conditional content blocks based on user attributes, personalised product recommendations via Connected Content, localised copy for multi-market deployments, and the default value patterns that prevent broken personalisation when data is incomplete.
We configure and optimise all Braze channels — Email (with deliverability setup and IP warming), Push (iOS and Android, with rich push and notification grouping), SMS (with compliance controls), In-App Messages (with trigger configuration), and Content Cards. We build cross-channel journeys that select channel per user based on preference and engagement history.
We implement Braze CDI connections from Snowflake, BigQuery, Databricks, and S3 — syncing product catalogue, user attributes, event history, and propensity scores from your data warehouse into Braze without the latency of API-based updates. We also handle Braze REST API integration with downstream systems and the Currents data export for analytics.
We configure the revenue event tracking, conversion window settings, and reporting framework that makes Braze a revenue accountability tool — not just a send volume counter. We build Braze reporting dashboards, configure Currents for external BI, and design the A/B test methodology that produces statistically valid results rather than inconclusive experiments.
Braze expertise is not about knowing the platform exists — it is about knowing which configurations and patterns produce results in production, across different industries and use cases.
Braze Canvas is where lifecycle marketing happens. We design Canvas architectures for complex use cases — multi-step onboarding with feature adoption gates, reactivation journeys with diminishing message frequency, loyalty tier promotion sequences, and cross-sell flows triggered by purchase events.
Braze segmentation is only as good as the data behind it. We design the event schema and custom attribute architecture that makes segments meaningful, then build the specific segment library your campaigns need — from simple engagement tiers to complex multi-condition behavioural filters.
Liquid is Braze's templating language for dynamic content. We write production-grade Liquid that handles missing data gracefully, calls external APIs via Connected Content for real-time product or account data, and conditionally alters the entire message structure based on user attributes.
Braze email is only valuable if it reaches the inbox. We manage the full deliverability programme — dedicated IP setup, domain authentication (SPF, DKIM, DMARC), IP warming schedules, bounce and spam complaint monitoring, and the list hygiene processes that maintain sender reputation over time.
Braze is only as powerful as the data it receives. We design the data integration architecture — CDI from warehouse, REST API event ingestion, Currents export to analytics — and implement the event taxonomy and user attribute schema that makes segmentation, personalisation, and measurement possible at scale.
Braze campaigns should be A/B tested systematically, not sporadically. We set up the testing methodology — sample size calculation, test variable isolation, holdout group configuration, and the statistical analysis framework — that produces valid, actionable results rather than inconclusive "winner by 0.1% open rate" experiments.
Braze revenue comes from the full customer lifecycle — not just the welcome email. We design and build Canvas programmes for every stage from first acquisition to loyal advocate.
Braze consulting ROI is measured in revenue attributed to lifecycle programmes, not in Canvas builds completed. Here is how our clients measure the value of working with us.
Most Braze setups attribute 8-15% of revenue to CRM when they measure it at all. Our implementations achieve 30-40% because we design attribution tracking before building programmes — not as an afterthought — and build the Canvas journeys that capture revenue at every lifecycle stage rather than just the welcome series.
Engagement rates improve dramatically when the right message goes to the right person at the right time. We achieve this through behavioural segmentation (sending only to users whose engagement history suggests they will respond), Liquid personalisation (making the message relevant to each individual), and send-time optimisation (using Braze's intelligent timing to deliver at each user's peak engagement window).
High Canvas completion rates come from three things: proper audience entry criteria that ensures only relevant users enter, clear and achievable goal events that represent genuine business outcomes, and exception paths that handle the users who should exit early rather than receiving every message in the sequence regardless of their actions. We design all three into every Canvas we build.
Data incidents in CRM — wrong name personalisation, emails to unsubscribed users, personalisation using stale account data — damage customer trust in ways that take months to repair. We prevent them through rigorous event schema design, user identity management, suppression list configuration, and QA processes that test every message variant against real user profiles before going live.
Feedback from Growth Directors, CRM Leads, and Marketing VPs who trusted us to transform their Braze programmes.
We had been paying for Braze for 18 months and using it to send a weekly newsletter. Rackwave audited everything, rebuilt our welcome Canvas, added abandoned cart and browse abandonment journeys, and implemented a win-back programme with Liquid-personalised content. CRM-attributed revenue went from 11% to 38% of total revenue in 9 months. We now think of Braze as a revenue channel, not a cost centre.
Our Braze personalisation was limited to first name. Rackwave set up CDI from our Snowflake warehouse, built a Connected Content endpoint pulling live usage data, and rewrote our entire message library using Liquid — so every message references what the user has actually done in the product. Feature adoption improved 44% in 3 months and onboarding completion rate went from 34% to 61%. The Liquid templates they built are now the foundation of everything we send.
We were sending the same editorial email to 2.2 million subscribers and seeing declining engagement every quarter. Rackwave built a behavioural segmentation system using article read events and topic affinity scoring — routing each subscriber into a content cluster that matches their demonstrated interests. Open rates went from 14% to 31%. Unsubscribe rate dropped 60%. Our editorial team now publishes content knowing it will reach the readers most likely to engage with it.
“Rackwave Technologies has significantly improved our marketing performance while providing reliable cloud services. We’ve been using their solutions for a while now, and the experience has been seamless, scalable, and results-driven.”
David Larry
Founder & CEOCommon questions about Braze consulting services with Rackwave Technologies.
Our Braze audit reviews six areas: Canvas architecture (are your journeys designed for the lifecycle, or are they one-off campaigns that happen to be in Canvas?), segmentation quality (are segments built on meaningful behavioural signals, or on basic demographic filters?), data quality (are events firing correctly, are user profiles clean, are there duplicate or fragmented identities?), Liquid usage (is personalisation used beyond first name, and are there broken personalisation risks?), deliverability (email sender reputation, authentication, bounce rate, spam complaint rate), and revenue attribution (are purchase and conversion events tracked, and are conversion windows correctly configured?). The audit produces a prioritised list of improvements with estimated revenue impact for each.
It depends on scope. A focused programme — one or two Canvas journeys, segmentation overhaul, and proper event tracking — can be live in 6-8 weeks. A full lifecycle CRM programme covering all five lifecycle stages across multiple channels typically takes 3-4 months. Braze migrations from another platform (Klaviyo, Salesforce Marketing Cloud, Iterable) add complexity depending on how much historical data and existing campaign logic needs to be preserved. We scope the timeline based on the specific deliverables and your team's availability for input and review, not on a generic project template.
We work independently of Braze as a consulting and implementation partner. We are not constrained to recommend Braze solutions where other approaches would serve you better, and our revenue is not dependent on Braze licence volume — which means our recommendations are based on what will improve your results, not on what maximises our commission. We do have a strong relationship with the Braze team and access to Braze resources, beta features, and technical support channels that accelerate complex implementations.
Yes. CRM platform migrations are one of our specialities. The critical decision in any migration is what to preserve and what to redesign — many existing campaigns in Klaviyo or SFMC should be redesigned in Braze rather than replicated, because Braze's Canvas and event-driven architecture enables approaches that were not possible in the previous platform. We conduct a campaign audit, classify each programme into "migrate as-is", "redesign in Braze", or "retire", and build the migration sequencing that keeps revenue-generating programmes live throughout the transition. Data migration — historical user attributes, event history, suppression lists — is handled separately with proper validation before any live sends use migrated data.
We have delivered Braze programmes across ecommerce and D2C (fashion, beauty, home, food), SaaS and mobile applications (B2B and consumer), media and publishing, financial services, travel and hospitality, and healthcare (where we handle HIPAA-compliant Braze configuration). The Canvas journey patterns are transferable across industries; the specific use cases, personalisation logic, and measurement frameworks differ significantly. We bring both the platform expertise and the industry understanding that makes Braze programmes relevant to your specific customers.
Braze Cloud Data Ingestion (CDI) allows you to sync data directly from your data warehouse — Snowflake, BigQuery, Databricks, or Redshift — into Braze user profiles and catalogs, without building and maintaining a separate API integration. CDI is the right approach when you have a data warehouse that holds the attributes and derived data (propensity scores, RFM tiers, product affinity) that should drive Braze segmentation and personalisation, but that data changes frequently enough that a manual export process would be too slow or unreliable. We implement CDI as the data foundation for Braze programmes where the segmentation and personalisation requirements exceed what the direct API integration can support efficiently.