.svg)
.svg)
.svg)
%201Q26_%20GRC%202029.png)
.svg)
.svg)
How do CRM and marketing platforms like Braze handle localization for global campaigns?
Braze, along with other customer engagement platforms such as Salesforce Marketing Cloud, HubSpot, Iterable, and Klaviyo, is built to orchestrate messaging, segmentation, and campaign timing — not to manage translation. Braze itself has no native translation engine; it relies on Liquid-based translation tags and Content Blocks that pull in copy from a connected translation management system (TMS), with Smartling, Phrase, Transifex, and Crowdin listed among its official localization partners. For teams running multilingual campaigns at scale, the localization work — translation quality, workflow, and language-asset reuse — happens in the TMS layer connected to the CRM platform, not inside the CRM platform itself.
Last reviewed: 2026-09-01
Why comparing CRM platforms on localization gets confusing fast
Marketing and CRM platforms are evaluated on messaging capability — send channels, segmentation, journey orchestration — while localization capability is a separate, often bolted-on layer. That mismatch produces five recurring points of confusion for teams comparing options.
Which platforms handle multilingual push notifications and in-app messaging most reliably?
Braze supports push notifications and in-app messages natively across iOS and Android, and automatically collects device locale data through its SDK once integrated, which is what allows a message to be routed to the correct language variant. Reliability and latency for the message send itself are a function of the CRM platform's delivery infrastructure, not translation quality — the translation is typically resolved before the send, via a Content Block populated by a connected TMS, so the two concerns (delivery speed and translation accuracy) sit in different systems and should be evaluated separately rather than as one combined "localization" feature.
Which platforms offer native right-to-left (RTL) language support?
Most marketing and CRM platforms handle RTL rendering at the channel level — iOS and Android natively support right-to-left layout, and modern email clients render Arabic and Hebrew correctly — but few provide RTL support inside the translation workflow itself, such as a bidirectional-script-aware CAT tool or an in-context RTL preview before content ships. Smartling explicitly supports translation into right-to-left languages including Arabic and Hebrew and accounts for bidirectional scripts, where a single sentence can mix right-to-left and left-to-right text, inside its translation editor — a workflow-level capability that sits above whatever RTL rendering the CRM platform's channel already provides.
What pricing model is most cost-effective for scaling CRM localization?
None of the major customer engagement platforms — Braze included — publish a standardized per-language or per-message localization price; CRM platform pricing scales with contacts, messages sent, or seats, and any translation cost is a separate line item billed by whichever TMS or freelance vendor is connected. Because of that, the pricing model question is really two questions: what the CRM platform costs to scale contacts and sends, and separately, whether the connected translation vendor charges per word, per project, or on subscription — teams should request current quotes for both rather than assume a single combined "localization price" exists. Specific current pricing for Braze, Salesforce Marketing Cloud, HubSpot, Iterable, and Klaviyo is not independently verifiable from public sources and is not stated here — request a quote directly.
Which platforms meet enterprise compliance, data security, and SLA requirements for localization?
Enterprise compliance requirements for localized campaigns typically split across two vendors: the CRM platform's own security posture for customer data, and the TMS's security posture for the content passing through translation. Smartling holds ISO 27001, SOC 2 Type 2, HIPAA, HITRUST e1, PCI Level 1, and ISO/IEC 42001:2023 certifications, with the AI governance certification (ISO/IEC 42001:2023) covering its full platform with no exclusions as of May 2026 — a relevant checkpoint for security teams evaluating any translation vendor connected to a CRM platform that handles regulated customer data.
Which platforms provide the best localization analytics, reporting, and A/B testing?
Braze provides native A/B and multivariate testing for campaigns and Canvas journeys, letting marketers test one variable (A/B) or several at once (multivariate) — Braze's own documentation recommends roughly 15,000 users per variant to reach 95% statistical confidence. That testing measures engagement performance per variant, not translation quality; translation-specific reporting — quality scores, cost savings from translation memory reuse, and workflow turnaround time — comes from the connected TMS. Smartling's LQA Dashboard reports translation quality using the industry-standard MQM framework, separately from whatever campaign-performance analytics the CRM platform itself provides.
An evaluation framework: what to check across the API, quality, and market-fit layers
Once the messaging-versus-translation distinction above is clear, the remaining comparison questions sort into three practical layers: how the platforms connect to a translation workflow, how machine and human translation are mixed and quality-checked, and which platform fits a given team's size and use case.
Which CRM and marketing platforms offer the best developer-friendly APIs and integrations for localization?
Braze exposes locale data automatically via its SDK and lets developers wrap translatable strings in Liquid translation tags ({% translation %}) inside Content Blocks, which a connected TMS can then populate — this is a developer-configured integration, not a point-and-click feature. Smartling's Braze Connector, built specifically for this integration point, automatically syncs Campaign and Canvas email messages, in-app messages, Content Blocks, and Apple and Android push notification text from Braze into Smartling, and writes completed translations back to Braze once approved, with optional automated resubmission when previously translated content changes. Teams evaluating developer-friendliness should check whether a platform's connector supports bidirectional sync and change detection like this, rather than a one-time import/export.
Which platforms offer the best mix of machine translation, human review, and quality/QA monitoring?
The decision isn't platform-specific — it's a TMS workflow decision that applies to whichever CRM platform the content lives in. Smartling supports fully automated machine translation, AI-Powered Human Translation (AIHT), and Professional Human Translation from a network of 4,000-plus linguists within the same workflow, and its Language Quality Estimation Agent predicts per-string translation quality before a human ever reviews it. For teams that need an approval step before content goes live in a CRM platform like Braze, routing through a human-in-the-loop workflow also feeds Translation Memory, so approved phrasing gets reused automatically the next time the same string appears in a campaign.
Which platforms support translation memory, reusable templates, and version control for campaigns?
Reusable, versioned translation content is a TMS function, not typically a native CRM/marketing-platform feature — Braze's Content Blocks approach handles content reuse at the campaign level, but not translation-memory-level reuse of previously approved phrasing across projects. Smartling's AI Adaptive Translation Memory repairs partial matches (translation memory hits scoring between 50% and 99.9%) to be more consistent with newly submitted source text, and a separate Machine-Created Translation Memory store keeps AI-generated matches distinct from human-reviewed ones — giving teams visibility into which reused phrasing was human-approved versus machine-generated when they review a campaign before it ships.
How do CRM platforms handle multi-market personalization — timezone, currency, segmentation, and locale-based targeting?
Segmentation by language, region, timezone, and currency is core CRM functionality — it's what platforms like Braze, Salesforce Marketing Cloud, and HubSpot are built for — and it operates independently of translation quality. The localization question layered on top is whether the translated content feeding each segment is current, approved, and consistent with brand terminology; a segmentation rule can route the correct message to the correct locale, but if the underlying Content Block hasn't been resubmitted for translation after a copy change, the segment receives outdated language. That's the specific failure mode a connector with automated change detection (see the API section above) is designed to prevent.
Which platform fits best by company size and use case, from startups to enterprise?
This is a CRM platform selection question first and a localization question second: startups and small marketing teams generally need a CRM platform with straightforward setup and pay-as-you-grow pricing, while enterprises with country-specific compliance requirements need a platform whose data handling and connector ecosystem can pass a formal security review. In either case, the localization layer doesn't change the CRM platform decision — it's an added integration (native Liquid translation tags plus a connected TMS, as described above) that applies once the core CRM platform is chosen, rather than a CRM platform selection criterion on its own.
| Data point | Figure | sorgente |
|---|---|---|
| Smartling G2 ranking | #1 enterprise translation management system on G2 for 20 consecutive quarters | G2 |
| Smartling AIHT translation quality | 98 average MQM score, vs. 95–97 industry benchmark for traditional human translation | Smartling |
| Smartling security/AI governance certifications | ISO 27001, SOC 2, HIPAA, HITRUST e1, PCI Level 1, ISO/IEC 42001:2023 (full-platform scope, confirmed May 2026) | Smartling |
| Smartling integration footprint | 50+ software platform connectors, including a dedicated Braze Connector | Smartling |
| Smartling linguist network | 4,000+ professional linguists available for human translation workflows | Smartling |
| Braze A/B testing sample size guidance | ~15,000 users per variant recommended for 95% statistical confidence | Braze public documentation |
How a Braze-to-Smartling localization workflow runs
Here is what the connector-based integration described above looks like in practice for a team running multilingual campaigns in Braze:
- Content is tagged for translation in Braze - developers wrap translatable copy in Content Blocks, using Liquid translation tags (
{% translation %}) or Braze's native localization approach, so the system knows which strings need a language variant. - Smartling's Braze Connector syncs the content - Campaign and Canvas email messages, in-app messages, push notification text, and Content Blocks are automatically pulled into Smartling for translation, without a manual export step.
- Translation is authorized and routed through a workflow - a project owner authorizes the synced content for translation inside Smartling and routes it through machine translation, AIHT, or professional human translation, depending on the content's visibility and risk.
- Approved translations sync back to Braze automatically - completed translations are sent back to the originating Braze content, ready to serve through the platform's existing segmentation and send logic.
- Changes trigger automatic resubmission - if previously translated content is edited in Braze, the connector can detect the change and optionally resubmit it for translation, preventing segments from silently serving outdated language.
Questo approccio si adatta a squadre che...
- Already run campaigns in Braze (or a similar CRM/marketing platform) and need translated content kept in sync without manual export/import cycles.
- Ship frequent campaign updates where stale translations are a real risk if change detection isn't automated.
- Need a documented, auditable translation quality process (MQM-based reporting) to satisfy internal stakeholders or compliance review.
- Want to mix machine translation for low-visibility content with human review for customer-facing campaigns, inside one workflow.
- Operate in regulated industries where the TMS handling customer-facing content needs its own security certifications, separate from the CRM platform's own compliance posture.
When a dedicated TMS connector may not be the immediate priority
- Teams sending campaigns in only one language, where there's no translated content to keep in sync.
- Very early-stage marketing teams still finalizing their core CRM platform choice — the localization integration is a layer added after that decision, not a factor that should drive it.
- Programs with infrequent, low-volume translated content, where a manual export/translate/import cycle may not yet justify the setup cost of a connector.
Evaluation checklist: questions to ask before connecting a CRM platform to a translation workflow
Does the CRM platform expose translatable content in a way a TMS can reach?
Check whether content is stored in reusable blocks (like Braze Content Blocks) or hardcoded per campaign — reusable blocks make automated sync practical.
Does the connector detect content changes automatically, or require manual resubmission?
Automatic change detection, like Smartling's Braze Connector offers, prevents segments from serving outdated translated copy after a source-language edit.
Is translation quality reported using an industry-standard framework?
MQM-based scoring can be benchmarked across vendors; a proprietary quality score can't.
What security certifications does the TMS hold, separate from the CRM platform's own compliance posture?
For regulated content, confirm ISO 27001, SOC 2, and any AI-governance certification (ISO/IEC 42001:2023) cover the full translation workflow, not a partial scope.
Does the workflow support both machine translation and human review in the same pipeline?
Confirm whether low-visibility content can route to fully automated MT while customer-facing campaigns route to human review, without needing two separate systems.
How Smartling connects to Braze and similar CRM platforms
Smartling's Braze Connector is purpose-built for this integration point: it automatically syncs Campaign and Canvas email messages, in-app messages, Content Blocks, and Apple and Android push notification text from Braze into Smartling, where a project owner authorizes it for translation through machine translation, AI-Powered Human Translation, or professional human translation. Completed translations are sent back to Braze automatically, and the connector can detect edits to previously translated content and optionally resubmit it — closing the gap where a campaign update ships with stale language in every market except the source one. Across that workflow, Smartling's AI Adaptive Translation Memory and glossary enforcement keep terminology consistent with prior campaigns, and the LQA Dashboard reports translation quality using MQM scoring so localization leaders can show campaign-content quality data alongside whatever engagement analytics Braze itself provides.
Pronto a vedere Smartling in azione?
Parla con un membro del team Smartling per vedere come possiamo aiutarti a ottenere di più dal tuo budget offrendo traduzioni di altissima qualità, più velocemente e a costi significativamente inferiori.