How to increase contactability in collections 30-50%

Why is contactability the key KPI?

In collections, everything starts with an effective contact. If you don't talk to the debtor, there is no promise to pay, no negotiation, no recovery. Contactability —the percentage of debtors who actually respond to a contact attempt out of the total attempts— is the indicator that determines the ceiling of your operation.

In Chile, Colombia and Mexico, the average contactability in mass portfolios ranges between 15% and 25% in traditional operations. This means that 75 to 85% of contact attempts are lost: no one answers, the number is wrong, or the channel is not the right one for that debtor.

Improving contactability does not require hiring more people. It requires surgical precision on who to call, through which channel, at what time and with what message. And that is where technology makes the difference.

The 5 levers to raise contactability

Based on our experience operating more than 7 million minutes per month, these are the levers that generate the greatest impact on contactability:

1. Predictive scoring: Prioritizes the contacts with the highest probability of response and payment. Not all collection actions are worth the same.
2. Real omnichannel: Each debtor has a preferred channel. WhatsApp, SMS, email and voice must coexist within a single strategy.
3. AI voice agents: Automate first outreach and reminders, freeing human agents for complex negotiations.
4. Predictive dialing: Eliminates idle time between calls and maximizes effective conversation per agent hour.
5. Data enrichment: Up-to-date databases with valid numbers, social networks and alternative contact channels.

Predictive scoring: contact those most likely to pay

Predictive scoring is the lever with the highest immediate return. It consists of assigning a score to each debtor based on historical data: payment behavior, age of the debt, product, the channel they have responded to before, the time of day with the highest contact rate, and dozens of other variables.

With that score, the operation can:

• Prioritize the contacts with the highest probability of payment in the first hour of the day.
• Automatically route high-value cases to the best agents.
• Decide which channel to use for each contact: those who respond on WhatsApp receive WhatsApp, those who answer calls receive calls.
• Avoid wearing out numbers that have already shown a low probability of contact, reserving resources for the cases with the greatest potential.

Scoring models are trained with the operation's own data and updated weekly. They do not require complex data science: simple variables such as "responded in the last 7 days" or "has active WhatsApp" explain more than 70% of the variance in contactability. Go deeper into collections management with AI.

Real omnichannel: voice, WhatsApp, SMS and email

The most common mistake in collections is using a single channel for all debtors. The reality is that each person has a preferred channel: there are those who always respond on WhatsApp, those who only answer calls, and those who prefer a discreet SMS.

Well-implemented omnichannel works like this:

1. First attempt: the system chooses the channel with the highest probability of success based on the debtor's score.
2. Second attempt (if no response): it automatically switches channel. For example, if they didn't answer the call, they receive a WhatsApp.
3. Third attempt: SMS or email as a final reminder, with a direct payment link.
4. Escalation: if they respond through any channel, the case is taken by an agent (human or AI) with the entire history unified.

The result is a coherent experience for the debtor and a contact rate that doubles that of single-voice campaigns. The technical key lies in integration: the omnichannel platform must consolidate WhatsApp Business API, SMS, email and telephony into a single conversation thread. See more in mass messaging.

AI voice agents for first outreach

AI voice agents are transforming mass collections. A virtual agent can make hundreds of simultaneous calls, with a natural voice, following a configured script and adapting in real time to the debtor's responses.

The typical use is in first outreach and reminders:

• "Hello, we're calling from [company] to remind you that your installment is due."
• "Would you like to receive the details via WhatsApp or would you prefer a representative to call you?"
• If there is willingness to pay, it automatically transfers to a human agent with the context of the conversation.

The impact on contactability is twofold: on one hand, call volume grows without the limit of human capacity; on the other, agents only step in when there is a real payment opportunity, raising their effectiveness per hour. Learn more about AI voice agents.

Channel and performance comparison

The table shows why omnichannel is so effective: no single channel exceeds 60% contactability, but by combining them strategically you reach 45-55% overall. The most cost-effective channel for volume is the AI voice agent + WhatsApp as backup.

How to implement in phases

A successful implementation follows an order that maximizes the return at each step:

1. Diagnosis (week 1): Measure your current contactability by channel, product and segment. Identify the leak points: are you calling invalid numbers? Are there debtors who only respond on WhatsApp?
2. Data enrichment (weeks 2-3): Cross-reference your databases with up-to-date data sources to validate numbers and find alternative channels. This stage alone can raise contactability by 10-15 percentage points.
3. Predictive scoring (weeks 3-4): Implement a simple prioritization model. The first results are seen within days.
4. Omnichannel (weeks 4-6): Activate WhatsApp and SMS as channels complementary to voice. Configure automatic routing.
5. AI voice agents (weeks 6-8): Automate first outreach with virtual agents. Free your human team for negotiation.

In our experience, clients who follow this order see sustained improvements from week 2 and reach the plateau of 30-50% increase in contactability between months 2 and 3. Find out how to apply it to your operation in reports and analytics.

Frequently asked questions