An analysis of 500 Chilean companies on response times, CRM adoption, and the gap between digital intent and the commercial capacity to address it.
Define SLAs by inquiry type. Unify sources in CRM. Design transparent lead scoring.
A reported study of 500 Chilean companies.
The publication is dated February 2024 and reports a sample of 500 companies. Company selection, fieldwork dates, queries used, hours, treatment of nonresponse and disaggregated data are not published on this page. The findings are not extrapolated to all of Chile.
Every hour of silence turns an opportunity into a conversation another brand will have.
What happens after someone decides to write?
The study observes how companies across industries and sizes respond to a digital inquiry, comparing times, continuity, and signals of operational maturity.
Sector analysis reveals patterns and differences between groups. Results describe the sample and period analyzed; they should not be automatically extrapolated to every Chilean company or other markets.
Opening a channel does not mean being ready to sell through it.
Forms, WhatsApp and social media have multiplied entry points, but many organizations still respond without shared context, visible ownership or a system able to prioritize.
Latency. An inquiry may wait for hours even when purchase intent is immediate.
Fragmentation. Every channel keeps its own conversation, forcing customers to repeat information.
Follow-up. The next action depends on individual memory instead of a shared pipeline.
Learning. Without classification or metrics, the organization cannot understand where opportunities are lost.
Fifteen hours against a reference standard measured in minutes.
Comparing the observed average with the international reference illustrates the problem's scale. The figure does not by itself explain quality, complexity or availability; it shows that response time must be treated as a commercial decision.
The limited CRM usage observed in the sample helps explain the lack of continuity, but it is not the only cause. Processes, staffing, hours, incentives, data quality, and channel design also play a role.
From an isolated inbox to a journey with context.
Improvement does not start by installing a bot. It starts by defining which inquiry enters, who responds, how long it can wait, what information is needed, and when automation should hand the case to a person.
Level 1 · Channel. There is a contact point, but follow-up is manual and hard to measure.
Level 2 · Pipeline. Inquiries are recorded, classified, and assigned with stages and owners.
Level 3 · Orchestration. Channels, CRM, automation, and handoff share context and rules.
Level 4 · Learning. The organization reviews timing, quality, conversion, and causes to improve the system.
Design the response as part of the product.
Every industry needs its own SLA and journey. Even so, there is common ground: capture context, confirm receipt, prioritize intent, assign ownership, and preserve the conversation.
Define SLAs by inquiry type. Unify sources in CRM. Design transparent lead scoring. Automate confirmations and tasks. Create human handoff. Measure response, resolution and conversion.
Evidence for designing better questions, rather than a definitive ranking.
Benchmarks depend on channel, hours, complexity, season, and methodology. To use findings within a specific organization, measure its own baseline and compare the same journey before and after the intervention.
Comparison needs a common protocol.
The previous edition reported response times of more than 15 hours and 5% CRM usage, without enough information to reproduce its calculations. The 11-minute reference has no identified primary source in this publication and is withdrawn as a global standard. A valid comparison requires publication of the protocol, dates, denominators, and source of every benchmark.
