SALESmanago ramps up AI and WhatsApp messaging for real-time eCommerce in 2026
London, UK; Tuesday 20 January 2026: SALESmanago is adding deeper AI and messaging capabilities to help brands move into real-time, personalised customer experiences. The big bet: native WhatsApp, AI-led recommendations across the site, and better analytics to keep audience quality in check.
For marketers and product teams, this points to faster iteration, tighter attribution, and experiences that react to actual customer intent - not just prebuilt campaigns.
WhatsApp moves from "nice to have" to a primary conversion channel
SALESmanago's native WhatsApp integration lets teams build personalised, multimedia templates and trigger automated, AI-guided flows based on live customer behaviour. Think abandoned carts, price drops, restock alerts, and post-purchase care - delivered with interactive buttons and timely prompts.
Why this matters: WhatsApp is high-intent, low-friction, and immediate. With first-party data and clear consent, it becomes a reliable lever for incremental revenue and faster feedback loops. For technical guidance, see the WhatsApp Business Platform.
- What to build first: abandoned cart, browse recovery, restock alerts, and win-back sequences using dynamic fields and clear CTAs.
- How to measure: opt-in rate, delivery rate, button CTR, conversion within 24 hours, and unsubscribe rate per template.
Onsite personalisation gets sharper with Recommendation Frames
Recommendation Frames now work across websites, landing pages, and pop-ups to surface the right products at decision points. That reduces friction and nudges shoppers without adding noise.
Under the hood, Recommendation Architect lets teams blend AI with rules and scenarios - so you can prefer in-stock, high-margin, or new-season items while still reacting to live behaviour.
- Where to start: product detail pages, cart, and high-exit landing pages.
- Test ideas: "similar vs. frequently bought together," margin-aware rankers, and time-decay on browsing signals.
Analytics and governance built for precision
New reporting covers delivery quality, clearer unsubscribe tracking, and more flexible in-app communication options. The goal: protect list health while scaling AI usage and personalisation.
- Data quality first: clean taxonomy for events (viewed, added, purchased), consent states, and identity resolution across channels.
- Guardrails: frequency caps by intent, quiet hours, channel priorities, and fast suppression when fatigue shows.
From reactive campaigns to active, real-time experiences
SALESmanago's direction is clear: less manual campaign building, more adaptive experiences that respond in the moment. Expect tighter links between messaging, onsite behaviour, and product data - so every touch is more relevant and easier to prove out with numbers.
Leadership and roadmap
The shift is being led by CEO Phil Draper, signalling a push toward connected customer engagement across channels. See the roadmap here: SALESmanago Product Hub.
Action plan for Marketing and Product teams
- Stand up WhatsApp quickly: define 3-5 templates, connect first-party data, and launch two flows per week until you see stable lift.
- Instrument journeys end-to-end: tie WhatsApp, email, and onsite experiences to the same identity keys and event schema.
- Deploy Recommendation Frames on high-intent pages: A/B test rankers, cap repetition, and align with stock and margin rules.
- Operationalise list health: monitor opt-out reasons, complaint rates, and deliverability by template and time window.
- Run a weekly experimentation cadence: one new template, one placement test, one data-quality improvement - every week.
Metrics that matter
- WhatsApp: opt-in rate, template approval-to-live time, CTR on buttons, conversion within 24 hours, unsubscribe rate
- Onsite: add-to-cart rate on pages with frames vs. control, assisted revenue, repeat purchase rate within 30 days
- Program health: audience growth, deliverability, cost per incremental order, time to value for new use cases
Bottom line: WhatsApp-native flows plus AI-led onsite recommendations give teams a fast path to higher engagement and measurable revenue - without adding complexity for the customer. Keep the loops short, keep the guardrails tight, and let real behaviour set the pace.
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