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Getting someone to answer a sales call is becoming increasingly difficult. Outbound calls compete with the daily flood of messages, distrust of unknown numbers, spam filters, and new rules that require companies to rethink how outbound campaigns are run.
For example, in Spain, the 400 prefix for commercial calls and the Customer Service Act are changing part of the operating framework. In Colombia, regulations such as the Dejen de Fregar Law also affect when and how certain contacts can be made.
In this environment, making more attempts does not guarantee better results. Performance increasingly depends on orchestrating each attempt more effectively: prioritizing contacts, adjusting schedules, defining what happens when the person answers, and turning each interaction into useful information for the next step.
What are outbound calls?
Outbound calls are calls a company initiates to proactively contact customers, users, leads, or debtors with a predefined objective. They are used, for example, for sales and lead qualification, collections, appointment confirmations and reminders, retention, renewals, surveys, service communications, or data updates.
These calls can be handled by human teams, voice AI agents, or through a hybrid model in which AI takes on certain tasks and the team steps in when judgment, empathy, or negotiation skills add value.
More calls do not necessarily mean a higher contact rate
The contact rate shows what percentage of attempts actually result in effective contact:
Contact rate = effective contacts / contact attempts x 100
But there is an important nuance: a call that is technically answered does not always become a useful conversation. An answering machine may pick up, there may be silence after the call is answered, no one may be available to continue handling the interaction, or the same attempt may be repeated at a poor time of day.
These are some of the main problems that can affect contact rate and how to address them:
| Contact rate issue | Common cause | How to address it |
|---|---|---|
| Attempts that do not lead to a conversation | Outdated or incorrect data, or numbers that are not easily recognized | Clean up databases and adjust contact rules |
| Calls answered by voicemail | Inaccurate answering machine detection | Improve AMD or voicemail detection and classify the outcome correctly |
| Call abandonment after pickup | Silence during the first few seconds | Start the conversation while the response is analyzed |
| Ineffective retries | Same schedule and frequency for everyone | Adapt subsequent attempts based on the previous outcome |
| Contacts with no outcome | Message or timing is not relevant enough | Adjust the script, priority, segment, and context |
| Channel saturation | Voice-only approach | Consider other channels when the process allows |
The seconds that can make or break an outbound call
The first few seconds of an outbound call matter more than they may seem. The person answers, hears nothing, and may hang up before finding out who is calling or why. For the campaign, that means a wasted attempt. The issue is often the time the system takes to distinguish between a person and voicemail. In traditional solutions, that detection can take between 2 and 5 seconds.
Inagent allows the AI agent to start speaking from second 0, while AMD analyzes the response in parallel:
- When a person answers, the conversation continues.
- When voicemail is detected, the call follows the rule defined for that scenario.
Enhanced detection reaches up to +95% accuracy, making it possible to identify each scenario more reliably and apply the right action from the first few seconds.
How to improve contact rate by coordinating Inconnect and Inagent
A simple way to understand the coordination between Inconnect, our omnichannel contact center solution, and Inagent, our AI agent platform, is to look at the outbound call in three phases: what happens before the call, what happens when someone answers, and how the outcome is handled afterward.
Before the call: decide who to contact, when, and how
Before making the attempt, Inconnect defines the campaign logic. It manages lists, schedules, the dialing strategy, rules by campaign or segment, exclusions, pacing, and outcome logging. With this foundation, each contact can be handled differently based on segment, history, priority, time window, previous outcome, or campaign objective.
In addition, the dialing strategy will not always be the same. Automatic dialers, such as predictive, progressive, or preview, make it possible to adapt campaign pacing and control to each case.
When someone answers: detect and converse in parallel
The sequence is very simple:
The call connects.
The Inagent AI agent starts speaking from second 0.
The AMD, or the dialer's voicemail detector, analyzes the response at the same time.
The system determines whether a person or voicemail answered.
The campaign acts based on the outcome.
From there, three scenarios are possible:
- If a person answers, the AI agent can explain the reason for the call, validate identity or interest, collect information, answer questions, apply business rules, complete certain tasks, and transfer the conversation to the human team with context when necessary.
- If voicemail answers, the call can be ended, classified, and a new attempt can be triggered according to the established rules.
- If contact is not made, the outcome goes back to Inconnect to decide whether there should be another attempt, when to make it, how many remain, whether to switch channels, or whether the contact should be removed from the campaign.
This makes it easy to see how the two solutions complement each other:
This model is already being used in real-world projects. In the Mentius success story, for example, Inconnect and Inagent work together in sales processes in the telecommunications sector, combining voice, AI agents, and human teams to increase capacity and reduce handling times.
Inconnect + Inagent: what this combination brings to your outbound campaigns
The combination of Inconnect and Inagent delivers very specific improvements throughout the campaign:
- Greater capacity to generate conversations: channels can be used more effectively, and resources can focus on contacts who actually answer.
- Lower telephony usage on voicemail: more accurate detection prevents keeping calls open when they will not lead to a conversation.
- Fewer drop-offs in the first few seconds: the conversation starts immediately while the response is being classified, so when the person picks up, an AI agent is already there.
- Greater ability to scale: AI agents can handle the beginning or the entirety of certain conversations and transfer cases to the human team when human intervention adds more value.
How to improve the performance of your outbound calls
The performance of an outbound call depends on how each contact is organized, what happens when someone answers, and how that outcome is used to determine the next action. Inconnect and Inagent coordinate those three layers: dialing, conversation, and follow-up management for each attempt.
At Inconcert, we also work with customers to identify which process offers the greatest potential, build a business case tailored to their operation, and establish the metrics that will be used to measure return. And the work continues after launch: we review results and iterate on rules, agents, and processes to keep improving performance with real data.
Want to improve the contact rate of your outbound campaigns? We help you define where to start, measure expected return, and launch it with Inconnect, Inagent, and support from our team. Request a demo and discover how to combine voice AI agents, smart answering machine detection, and better management of every attempt.
Frequently asked questions about outbound calls
What is an outbound call?
It is a call initiated by a company with a predefined objective. It can be used for sales, lead qualification, collections, appointment confirmations, renewals, surveys, or service communications. In our article on inbound and outbound calls, we explain in more detail how each type of contact works.
What is the difference between inbound and outbound calls?
In an inbound call, the person initiates contact with the company. In an outbound call, the company makes the first contact attempt. The difference also affects how the campaign, resources, and dialing strategy are organized.
How do you improve the contact rate of an outbound campaign?
It is important to work on several factors: data quality, schedules, contact frequency, dialing strategy, answering machine detection, retry rules, and using the information gathered in each call to decide the next action. Choosing the right types of automatic dialers also helps adapt the strategy to the volume and objective of each campaign.
What is AMD, or an answering machine detector?
AMD stands for "Answering Machine Detection." It is a technology that analyzes the response to a call to identify whether a person or voicemail answered and take action based on the outcome. Combined with strong campaign logic, it helps make better use of each attempt and reduce the use of telephony minutes and channels on calls that do not result in a conversation.
Can an AI agent make outbound calls?
Yes. A voice AI agent can handle outbound calls, carry on a conversation, collect information, answer questions, apply business rules, and move certain tasks forward. Solutions such as Inagent can also transfer the conversation to the human team with context when the case requires judgment, negotiation, or an exception.
What happens if voicemail answers or no one picks up?
The outcome is recorded and can trigger a specific campaign rule. For example, schedule another attempt, change the time, switch channels, or stop attempts for that contact. With Inconnect, this information can be incorporated into the campaign logic to decide how to proceed with each contact.