The upcoming 2026 shopping season presents a complex and evolving landscape for senior marketing and CX leaders. Consumers are more discerning, technologically aware, and demand greater relevance and efficiency in their brand interactions. Successful strategies will pivot on early engagement, intelligent channel orchestration, precise personalization, and robust consent governance. Data from Infobip’s recent survey reveals critical shifts in shopper expectations and messaging channel performance, providing a roadmap for enterprise preparedness.
Redefining the Holiday Campaign Timeline and Channel Mix
The traditional approach of launching holiday campaigns just before peak sales days is no longer effective. Shoppers are planning and budgeting earlier, necessitating a proactive and segmented outreach strategy.
Early Engagement is Paramount Consumers initiate their holiday shopping research and decision-making well in advance of the Black Friday and Cyber Monday weekend. The survey indicates that 25% of shoppers desire holiday promotions in October or earlier, with another 34% looking for them in early November. This trend highlights a critical window for brands to capture attention and influence purchase intent before competitors saturate the market. Failing to engage during this preparatory phase risks being overlooked when shoppers finalize their choices.
- What to do:
- Initiate planning in Q3: Develop campaign schedules that extend into early Q4.
- Segment early planners: Utilize historical purchase data and early engagement signals (e.g., wishlist adds, browsing behavior) to identify and target consumers ready to start shopping.
- Offer early-bird incentives: Provide exclusive previews or early access to deals to reward proactive shoppers.
- What to avoid:
- Waiting until November: This misses the critical planning and consideration phase when shoppers are forming their shopping lists.
- One-size-fits-all timing: Regional variations exist; adapt launch timings based on market-specific insights (e.g., South Africa and Brazil are earlier markets than the UK or US).
Omnichannel Strategy, Not Single-Channel Dominance While email remains a primary channel for promotional campaigns, preferred by 88% of respondents, an effective strategy requires a diversified channel mix. Customers expect different types of messages on different platforms. WhatsApp is favored by 36% for promotions, SMS by 26%, and push notifications by 24%. The optimal channel selection depends on the message’s purpose. Email excels for discovery and richer detail, SMS for urgent updates and order confirmations, and messaging apps like WhatsApp or RCS for interactive conversations and high-value customer service.
- Operating Model and Roles:
- Centralized CX orchestration: Implement a platform that integrates CRM, marketing automation, and various messaging channels.
- Define channel roles: Clearly assign message types and content strategies to specific channels (e.g., marketing email for newsletters, SMS for shipping alerts, in-app messaging for proactive support).
- Data Readiness: Ensure customer data platforms (CDP) provide unified customer profiles, enabling seamless handoffs and consistent experiences across channels.
- Example: A global telecommunications provider uses email for new subscriber acquisition campaigns and service upgrade offers, SMS for service outage notifications and billing reminders, and WhatsApp for account support and personalized plan recommendations.
Summary: The 2026 shopping season demands proactive, segmented campaigns launched earlier in the year. A balanced omnichannel approach, where each message’s purpose dictates its channel, is essential to meet diverse consumer preferences and maximize engagement.
The Imperative of Personalization, Speed, and AI Integration
Modern consumers expect highly relevant interactions delivered with speed and efficiency. This necessitates advanced personalization techniques, rapid response capabilities, and strategic deployment of artificial intelligence (AI).
Data-Driven Personalization at Scale Shoppers are willing to share personal data when they perceive a clear value exchange. The survey shows that 66% are open to sharing product preferences, 61% their wishlist items, 51% their budget range, and 46% their past purchase history. This willingness underscores the opportunity for brands to deliver deeply personalized experiences. Generic messages contribute to customer fatigue and high unsubscribe rates (50% of unsubscribes are due to irrelevant messages).
- What to do:
- Invest in CDP capabilities: Consolidate customer data from all touchpoints (e-commerce, CRM, mobile apps) into a unified profile.
- Leverage strong signals: Use explicit preferences and behavioral data (e.g., items viewed, cart abandonment) to tailor offers.
- Personalize responsibly: Ensure personalization remains helpful and non-intrusive.
- Governance and Risk Controls:
- Data privacy policies: Establish clear guidelines for data collection, usage, and retention, ensuring compliance with regulations such as GDPR or CCPA.
- Consent management: Link personalization directly to explicit customer consent.
Speed is a Core Component of the Offer In the fast-paced shopping season, timely communication is not merely a convenience but a fundamental expectation. Nearly half (48.4%) of shoppers expect order confirmations within one minute, and 31% expect support replies within five minutes. Delays in these critical touchpoints erode trust and increase customer frustration.
- Measurement:
- Transactional SLAs: Implement and monitor Service Level Agreements (SLAs) for automated messages, such as order confirmations (e.g., 99.9% delivery within 60 seconds).
- Support metrics: Track Mean Time To Respond (MTTR) and First Contact Resolution (FCR) for customer support queries. Target MTTR < 5 minutes for urgent inquiries.
- What ‘good’ looks like: A retail customer receives an immediate SMS notification after an online purchase, followed by an email with detailed order information. If they have a query, a chatbot provides an instant initial response and escalates to a live agent if needed within minutes.
Strategic AI Deployment for Efficiency and Enhanced CX Consumers are increasingly open to AI assistance when it genuinely saves them time or simplifies decisions. The survey reveals that 41% have used an AI assistant or chatbot a few times, 22% frequently, and an additional 23% would consider it. Shoppers trust AI most for tasks like product comparisons (73%) and finding deals (68%). Virtual try-ons via messaging channels also show high interest (47% definitely, 40% maybe).
- Operating Model and Roles:
- AI-powered chatbots: Deploy AI agents for handling routine queries, FAQs, and transactional updates (e.g., order status, common troubleshooting).
- Intelligent routing: Design AI systems with clear escalation paths to human agents for complex, sensitive, or high-value interactions.
- Red-teaming and testing: Regularly test AI assistants for bias, accuracy, and performance to ensure reliable and equitable customer interactions.
- Example: A B2B SaaS company utilizes an AI assistant on its website to guide prospects through product features, qualification questions, and demo scheduling, freeing sales development representatives for more strategic engagements.
Summary: Personalization, driven by ethical data usage, is essential for relevance. Brands must prioritize rapid responses for confirmations and support to build trust. Strategic AI integration can automate routine tasks, enhancing efficiency and improving the customer experience, provided there are robust human escalation paths.
Prioritizing Consent, Governance, and Regional Nuances
Effective customer engagement is built on a foundation of trust, transparent consent, and a deep understanding of market-specific preferences. Neglecting these areas introduces significant compliance risks and diminishes campaign effectiveness.
Clear and Ethical Consent Management Consumer trust is paramount, and how brands obtain and manage consent directly impacts engagement levels. A significant 72% of shoppers prefer a clear, non-pre-ticked checkbox at checkout for marketing consent. Transparent consent processes lead to cleaner data and more effective segmentation.
- Policy and Guardrails:
- Explicit opt-in: Mandate explicit, unambiguous opt-in for all marketing communications across all channels.
- Centralized Consent Management Platform (CMP): Implement a CMP to store, track, and manage all customer consent preferences.
- Frequency limits: Establish and enforce internal policies for message frequency (e.g., no more than 3 promotional messages per week per customer segment), dynamically adjusted based on engagement.
- Easy opt-out: Ensure simple, one-click opt-out mechanisms are available on all communications.
- Immediate priorities (first 90 days):
- Consent audit: Conduct a comprehensive audit of all existing consent collection points and stored preferences.
- Platform integration: Ensure the CMP is fully integrated with CRM and marketing automation systems to respect preferences in real time.
- Staff training: Train all customer-facing and marketing teams on consent policies and procedures.
Governance for Data and Channel Use Robust governance frameworks are critical to ensure that data is used ethically, efficiently, and in compliance with regulations. Cleaner consent data directly translates to improved segmentation and more relevant messaging, reducing the risk of customer fatigue and unsubscribes.
- Operating Model and Roles:
- Data Governance Council: Establish a cross-functional council (legal, CX, marketing, IT) to oversee data policies and usage.
- Data Quality SLAs: Define Service Level Agreements for data accuracy and completeness within the CDP.
- Monitoring and Reporting: Implement dashboards to track key metrics such as complaint rates, unsubscribe rates, and consent revocation rates, setting thresholds for alert generation (e.g., complaint rate exceeding 0.1% triggers review).
- Risk Mitigation: Actively monitor for patterns of customer fatigue (e.g., low open rates, high bounce rates) and adjust communication strategies accordingly.
Understanding Regional Market Differences The survey highlights significant regional variations in consumer behavior. For instance, India shows a strong appetite for AI-led discovery and virtual try-ons, while the UK remains highly email-centric with later planning curves (Infobip, n.d., p. 7-14). A universal campaign strategy will underperform in diverse global markets.
- What to do:
- Localized strategy development: Develop distinct campaign strategies for different regions, accounting for local preferences in timing, channels, content, and promotional mechanics.
- Cultural nuance: Adapt messaging and creative to resonate with local cultural contexts and language.
- Channel readiness: Verify platform support for preferred regional channels (e.g., WhatsApp in MENA and LatAm, Viber in Europe/Philippines).
- What to avoid:
- Copy-pasting global campaigns: This leads to irrelevance and reduced engagement in specific markets.
- Ignoring local regulations: Ensure compliance with all regional data privacy and consumer protection laws.
Summary: Establishing clear, ethical consent mechanisms and robust data governance is fundamental to building and maintaining customer trust. Successful engagement for Shopping Season 2026 requires adapting strategies to pronounced regional preferences, rather than applying a blanket approach.
Summary
The 2026 shopping season demands a sophisticated and integrated approach from CX and marketing leaders. Success hinges on a clear understanding of evolving consumer expectations: earlier engagement, tailored omnichannel communication, precise personalization powered by ethical data use, rapid response times, and strategic AI integration. Critically, these efforts must be underpinned by transparent consent management and a nuanced appreciation of regional market dynamics. By prioritizing these strategic imperatives, enterprises can build trust, enhance customer experiences, and achieve measurable outcomes in an increasingly competitive environment.
Source: Infobip. Shopping season 2026 consumer survey and predictions.
