Reach your customer – AI-ready and orchestrated across all channels

Companies are increasingly relying on omnichannel communication to reach their customers in a targeted way. Those who communicate consistently via channels such as email, mobile push, SMS, WhatsApp, and even print, and who make offers at the right time in the right context, not only increase brand loyalty but also boost revenue. An analysis of 46,000 shoppers shows: omnichannel customers spend 4% more per in-store purchase and 10% more online compared to single-channel users – and revenue grows with every additional channel used (Harvard Business Review).

Personalization plays a crucial role: the closer companies are to the consumer, the greater the benefits. Companies that excel in customer proximity achieve faster revenue growth than their competitors. After all, 71% of consumers expect companies to offer personalized interactions. And 76% are frustrated when this does not happen (McKinsey).

“Reach Your Customer” is more than just reach

Omnichannel does not mean broadcasting everywhere at once, but rather reading signals in real-time and responding situationally. An ignored coupon sent by email can trigger a push notification, which, if still inactive, escalates to an SMS with a clear deadline. Transactional communication – shipping updates, invoices, service notifications – is particularly effective when enriched with context, precisely timed, and seamlessly embedded into the customer journey. This creates a choreography that translates relevance into action – without overwhelming people with redundant messages.

The agent as a new touchpoint – and gatekeeper of communication

A new intermediary layer is emerging, which determines whether a customer is truly reached: AI consumer agents. These intermediary systems analyze content, filter newsletters and promotions, condense information, and show the user only what is deemed relevant. This is already evident today in the requirements of large email ecosystems: structured data and defined actions in emails – for example, via schema.org in JSON-LD – make it easier for machines to interpret and prioritize messages. Beyond the inbox, Schema.org also acts as a semantic gatekeeper in machine evaluation chains – structured context signals increase machine understandability and visibility.

Measurement is also evolving. Traditional open rates lose significance when agents pre-evaluate content. It is worthwhile to supplement with qualitative metrics – for example, what proportion of contacts lead to the desired action without switching channels, how often structured actions in emails are triggered, or how strongly preference changes increase subsequent relevance. Such metrics put the effectiveness of orchestration at the center and promote operational learning loops – from timing to content to channel selection.

How to really reach your customers

“Reach your customer” means reaching customers with the right message at the right moment and in the right context. Through omnichannel orchestration, AI send-time optimization, channel preference routing, frequency management, and geo-targeting, communication becomes not only more efficient but, above all, more relevant and valuable – both for customers and for your company:

• Omnichannel orchestration weaves all channels and touchpoints into an event-driven journey that responds to behavior and context.
• AI send-time optimization can adapt the sending time to individual response patterns, while real-time triggers – from cart abandonment to price alerts – bridge the gap between interest and action.
• Channel preference routing ensures that a message arrives where the likelihood of response is highest – for one person in their inbox, for another via messenger or push notification.
• Frequency management controls contact limits, rest periods, and suppression rules, so that impact is not lost to oversaturation.
• Geolocation targeting increases relevance when local inventory, store availability, or regional events are factored into timing. Especially in retail and automotive, digital signals can thus be connected to in-store moments – such as click & collect plus local service slots.
• Agent-optimized content is structured, dynamically updated, and machine-readable so that AI consumer agents can reliably recognize intent, value, and timeliness.

Data protection creates reach – privacy by design as a performance lever

Reach is also a matter of trust. Transparent preferences, documented consents, and traceable data flows improve not only compliance but also delivery and interaction. 95% of surveyed organizations say that their customers would not buy if data were not sufficiently protected – a clear signal to understand data protection as a factor in reach (Cisco). Visible privacy-by-design practices also strengthen the signals that AI-driven systems rely on – clear opt-ins, well-communicated purposes, and easily accessible preference centers act as positive relevance markers.

Conclusion

Sources:

Harvard Business Review: https://hbr.org/2017/01/a-study-of-46000-shoppers-shows-that-omnichannel-retailing-works

McKinsey: https://www.mckinsey.com/capabilities/growth-marketing-and-sales/our-insights/the-value-of-getting-personalization-right-or-wrong-is-multiplying

Cisco: https://www.cisco.com/c/en/us/about/trust-center/data-privacy-benchmark-study.html