TwilioJesse SumrakProblem & solution
More data won't make your AI smarter (here's what will)
Summary
Twilio research found that 99% of companies report something blocks them from understanding customers, with 48% citing connecting data across channels as the top obstacle. The problem isn’t data collection, which has succeeded, but the missing data activation layer that makes context usable in the eight seconds an AI agent has before a customer gives up. Twilio’s solution involves three elements: continuity across channels, real-time profile freshness, and retrieval of relevant history mid-conversation. Twilio Conversations treats touchpoints as a single lifecycle, Conversation Memory syncs new details in real time, and Conversation Intelligence surfaces approved documents alongside history. Twilio recommends starting small by picking one handoff where customers repeat themselves and making context survive it, rather than feeding the AI more data.
Context
Twilio research surveyed 7,652 consumers and 660 business leaders. 99% of companies report something stops them from understanding customers, with 48% citing connecting data across channels as the top obstacle. 84% of brands say their AI can access history, but only 40% design personalization around it. 74% of consumers repeat themselves to AI agents, and 71% abandon conversations when the agent fails to recognize them.
Approach / What changed
Twilio’s approach is to treat all customer touchpoints as a single lifecycle using Twilio Conversations, sync new interaction details into existing profiles in real time with Conversation Memory, and surface approved FAQs, policies, and product docs alongside customer history via Conversation Intelligence. This wires existing data into every AI interaction, closing context gaps at channel boundaries.
Takeaways
Connecting data across channels is the top obstacle for 48% of companies, and it’s the fastest-moving priority this year, up from third place last year.
74% of consumers repeat themselves to AI agents, and 71% abandon conversations when the agent fails to recognize them, making recognition non-negotiable.
Twilio recommends starting with one handoff where customers repeat themselves and making context survive it, rather than adding more data sources.
FAQ
Why isn't my AI agent using the customer data we already have?
Twilio research points to connection over collection. 48% of companies name connecting data across channels as their top obstacle. 84% of brands say their AI can access history but only 40% design personalization around it.
Why does my AI keep asking customers to repeat themselves?
Twilio research found 74% of consumers repeat themselves to AI agents, usually because context doesn't survive a channel or session boundary. Twilio Conversations treats touchpoints as one lifecycle so the thread carries over.
What data does an AI agent need to be useful?
Twilio recommends three things: (1) continuity across channels, (2) profiles updated in real time, and (3) retrieval of the relevant history mid-conversation. Volume of stored data matters less than whether the right details surface at the right time.
Source and freshness
- Source
- twilio.com
- Published
- Added to Yomu
Summaries are generated from the original by a language model. Check the original before relying on it.
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