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South Africans embrace AI but expect transparent, locally supported customer service.
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Poor customer service drives churn, with many consumers abandoning brands after bad experiences.
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AI handles routine queries best, while complex marketing issues still need human expertise.
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Local, real-time support helps businesses resolve urgent campaign, compliance, and integration problems faster.
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MarTech buyers should treat customer support as a key factor alongside platform capability.
South African businesses, just like their counterparts around the world, are facing mounting pressure to deliver high-ROI marketing campaigns against strict deadlines and budgets.
Marketing technology (MarTech) enables businesses to do this at scale, and with intelligence, but an over-reliance on offshore or fully automated software support risks becoming an operational liability and customer experience (CX) misstep.
The 2026 South African Customer Experience Report, produced by Rogerwilco, ovatoyou and Julia Ahlfedt CX Consulting, has revealed that South Africans are not anti-AI; in fact, they are embracing agentic tools much faster than businesses think.
Automated support and CX
However, they expect a foundation of governance, transparency, and local human support to back it up. The benchmark study interviewed 2 000 consumers and 56 business executives.
The overarching conclusion of the 2026 CX report is that automated support is an enabler, not a standalone solution. Brands that treat AI purely as a tool to cut costs or replace humans risk widening the “trust gap” and alienating customers.
This is particularly dangerous, because according to the 2026 CX report, South Africa is a market where 81% of consumers reported experiencing a negative customer service interaction in the past year. When automated systems fail, brands rarely get a second chance to fix it.
Rather than complaining publicly, 52% of South African consumers will simply stop supporting the brand.
Massive implications
In a B2B context, this has massive implications. CX has a direct bearing on the bottom line. While many marketing technology platforms delegate their entire customer service to automated chatbot loops, local marketing teams risk encountering costly downtime when complex technical issues arise, which heightens in urgency shortly before major promotional sends.
For businesses managing tight response windows, multi-client agency environments, and South Africa-specific compliance standards, the inability to reach a support specialist in real time directly threatens media spend and revenue.
This shift mirrors global industry movements. Gartner’s 2026 Customer Service and Support research reveals that 85% of service leaders are expanding the responsibilities of human agents to focus on high-value, complex cases as AI absorbs routine tasks.
However, many vendors continue to push human escalation further out of reach for South African users, creating friction when local business context is needed most.
Growing tension
Growing tension between basic self-service automation and critical operational uptime emphasises how support accessibility must be elevated to a primary procurement metric.
When companies choose marketing technology, the buying conversation usually centres on capability. Support often sits further down the list, even though its value becomes clearest when something important stops behaving as expected,.
Highlighting how local hybrid support operates under pressure, Everlytic’s recent internal metrics demonstrate that while automation effectively resolves routine interactions, rapid human intervention remains vital for context-heavy demands.
Between June and July 2026, Everlytic analysed 164 support chatbot interactions, finding that only 12.4% required ticket escalation – confirming the CX report’s finding that South Africans are embracing automated tools.
This proves that basic account and navigation queries can be handled seamlessly by AI.
Complex tickets
However, when escalated to human specialists, the company’s South Africa-based team handled 717 complex tickets with an average first response time of six minutes and 52 seconds, achieving a 98.45% first-response SLA and a 99.19% resolution SLA.
For a predominantly local user base, access to support from people working in the same market, context and time zone removes practical friction when an issue requires discussion rather than an automated answer.
Cases that prompt direct support tend to carry more context. Customers seek help with deliverability and integration problems, urgent campaign deadlines, compliance questions, and high-value sends. In those situations, a support specialist may need to understand the account configuration, the technical issue, and the broader business context before a useful answer can be provided.
Marketing creates an additional complication because many problems arise against a deadline.
Response speed counts for little if it does not move the customer closer to resolving the underlying problem. A quick acknowledgement has limited value if the campaign still cannot proceed. Effective support requires enough platform knowledge and business context to help move the work forward.
Local context can remove another layer of friction
Everlytic’s chatbot data shows that 92.1% of users during the period analysed were based in South Africa. For a predominantly local user base, access to support from people working in the same market and time zone can reduce practical friction when an issue requires discussion rather than another automated answer.
This becomes relevant for agencies and larger marketing teams where one platform may support communication across several clients or business units. Everlytic’s agency platform is designed to manage multiple clients and brand environments separately, which means a platform issue can extend beyond a single send.
Access to someone who understands the technology and can stay with the problem gives the business another way to contain disruption.
A strong automated support model makes routine questions easy to resolve while preserving access to experienced help for situations with greater consequences. That combination is increasingly important as software becomes easier to buy and automation becomes more capable.
For marketing leaders, support should be part of the technology decision from the start. Platform capability is vitally important, but only part of its operational value. The rest becomes visible when an unexpected problem needs experienced judgement and clear ownership.
Juliet Mogorosi is customer service lead at Everlytic.
