OPAL
OPAL: A strong fit for targeted push campaigns, segmentation, and rich-media engagement. Ranked #21 of 26 in Mobile Marketing Automation Software by our editors (7.0/10); pricing: Pricing on request; best for teams focused on targeted push and rich media.
At a glance
- Editor score7.0 / 10
- PricingPricing on request
- Best forTeams focused on targeted push and rich media
- Facts checked20 Sep 2026

Where it wins
- Personalized rich-media push, in-app messages, and web push
- Behavioral, technology-based, and geofence audience targeting
- Analytics, reporting, APIs, and CSV workflows for connected campaigns
Where it doesn't
- Contact-sales pricing requires a conversation before purchase decisions
- Campaign comparison centers on reporting rather than A/B testing
- Its automation focus is narrower than platforms built around visual journeys
Our verdict on OPAL
OPAL is a customer engagement platform for organizations that want to analyze mobile and web behavior and deliver targeted communications. It supports iOS and Android mobile push, in-app messaging, web push, deep links, location-based campaigns, behavioral segmentation, and personalized rich-media content. Its positioning fits teams in telecom, finance, iGaming, and retail that need targeted messaging across mobile and web channels, with analytics to measure campaign reach, opens, conversions, and impact.
Pricing follows a contact-sales model, with access handled through a get-pricing and request-demo flow. OPAL’s ecosystem fit comes from real-time messaging APIs, partner APIs, CSV data workflows, and connections to CRM systems and business-intelligence tools. These options support organizations that need to bring external customer or business data into campaigns, while the platform’s web and API access suits teams managing messaging through connected systems. Reusable templates and a rich-media campaign composer can also support repeatable campaign production.
OPAL’s standout strength is the combination of targeted delivery and audience context. Teams can use behavioral and technology-based segmentation, geofences, deep links, and behavioral analytics to shape communications around user activity, location, and device context. Reporting covers reach, open, conversion, and impact measures, giving campaign teams several ways to assess results. The trade-off is a narrower emphasis on messaging, targeting, and measurement rather than visual journey design or A/B testing. Choose OPAL when rich-media push, in-app engagement, web messaging, and connected data workflows are central requirements; consider another platform when visual automation journeys or built-in experiment management are priorities.
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OPAL pricing
OPAL fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Not verified |
| Mobile OS support | Ios_and_android |
| Mobile analytics | Yes |
| Behavioral triggers | Yes |
| Visual journey builder | Not verified |
| A/B testing | Not verified |
| Data export | Yes |
| Deployment | Cloud |
| Platforms | Web |
| Support | Phone, Docs |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 5 integrations: CRM systems, BI tools, Real-time messaging API, Partner APIs, CSV |
| Pricing | Pricing on request |
| Website | opal.ai |
| Facts checked | 20 Sep 2026 |
OPAL integrations
OPAL lists 5 integrations on its own site.
- CRM systems
- BI tools
- Real-time messaging API
- Partner APIs
- CSV
Alternatives to OPAL
- OneSignalBroad mobile automation with a free plan and a $19/month entry tier.9.4
- RetenoBroad mobile automation with a free entry tier and usage-based Growth pricing.9.3
- PushwooshA broad, usage-priced messaging platform for cost-conscious mobile teams.9.2
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The editor score above is our own research. What this page doesn't have yet is a reader's view — what you used OPAL for, what worked and what didn't. No stars are seeded and no review is paid for; an editor reads every one before it appears.
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Featured on iTechGuides
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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