“Out of every 10 leads generated, only 4 answer the scheduled calls. And that’s considering that we make up to four attempts in different time slots throughout the same day to take advantage of the lead’s peak interest.”
This is neither an anecdote nor an isolated figure; it is a pattern that consistently repeats across multiple sectors and companies, with minimal variations. What is most relevant is not the percentage itself, but the fact that we are talking about users who have voluntarily provided their contact information, have agreed to be contacted, and in many cases, have even selected a specific time slot.
Yet, contactability drops sharply. And this happens both in classic lead generation models and in those contacts companies continue to call—what they euphemistically call “white calls”: contacts without an immediate commercial goal, supposedly aimed at maintaining the relationship, “staying visible,” or reminding the user that the company is still there if needed. The pandemic has only exacerbated this problem.
Contactability as a structural problem
Like any shock that disrupts a long-established model, for a time the lack of response was interpreted as an operational issue: poorly chosen schedules, insufficient follow-up by the team, or poorly qualified leads (the last being a true all-time classic and a common point of contention between marketing and sales teams).
However, that interpretation no longer explains what is happening. The problem is far deeper and relates to a radical shift in user behavior toward the phone channel.
The main cause is well known and widely acknowledged by many organizations: the explosion of phone spam, combined with massive fraud attempts, has completely changed how incoming calls are perceived. Today, for the vast majority of users, an unknown number is either a nuisance or a potential threat.
- Automated calls
- Fake energy or financial service offers
- Unidentified mobile numbers
- Systematic repetition at intrusive times
Users have learned to protect themselves, and their reaction is rational: do not answer. The problem is that legitimate companies are caught in this defensive mechanism, even those with explicit consent to contact.
Consent no longer guarantees anything
One of the great assumptions of digital marketing in recent years has been that consent solves the problem. If a user agrees to be contacted, the call should work.
Reality shows that even when there is recent interest, a clear context, and a scheduled call, response is not guaranteed. Legal consent does not automatically translate into real availability or willingness to pick up the phone.
This undermines several pillars upon which many lead generation models have been built, including the idea that volume compensates for friction, or that the phone remains the central channel around which the entire commercial process pivots.
Not all companies face the problem equally
Although the phenomenon is widespread, not all organizations experience it with the same intensity or for the same reasons.
- In high-volume B2C (insurance, energy, telecom, education), saturation is extreme, and the historical dependence on the phone makes the impact particularly severe.
- In B2B with long sales cycles, the challenge is less about volume and more about access to increasingly protected decision-makers.
- In recurring services, the risk lies in eroding an existing relationship through interactions perceived as irrelevant by the user.
Beyond these differences, the common denominator is clear: the growing difficulty in initiating a real conversation with the user, even when a prior relationship or explicit interest exists.
Low accessibility vs. high conversion
It is important to clarify a key point often overlooked in this debate: when contact is achieved, the phone channel continues to deliver very high performance in terms of conversion to sale. Direct, real-time conversation remains one of the most effective mechanisms to resolve objections, contextualize the offer, and close deals.
The solution is not to abandon the phone, but to stop treating it as an isolated channel. The real opportunity lies in improving what happens before and, especially, after a missed call, integrating other channels to help unlock access to the conversation. Blessed omnichannelity?
The recovery circuit as a key lever
When a call is not answered, it should not be considered a definitive failure, but the start of a second contact attempt via another channel. This is where many companies are finding real room for improvement.
WhatsApp, for example, can be an effective recovery channel if used rigorously. Sending a generic message is not enough. Certain conditions must be met to avoid being perceived as spam:
- Immediate and clear identification of the company and the person contacting
- Explicit reason for the contact, linked to a prior interaction
- Professional tone consistent with the corporate image
- Simple and respectful next-step proposal
“We have started reaching out via WhatsApp to leads who do not answer calls. Not just in any way: after several tests, we found that when the message is sent immediately after the last failed attempt, and we introduce ourselves clearly and transparently, we manage to recover 2 out of 6 contacts we had initially considered lost.”
Used this way, WhatsApp reduces friction, provides context, and gives the user control over how and when to continue the conversation.
In a recurring revenue model, this recovery should be approached not just in terms of immediate sales, but considering the revenue associated with the client’s full lifetime value. The incentive to recover is not only justified—it is extremely powerful.
Conclusion
The context has changed, and users have had no choice but to adapt to protect themselves.
It is not about calling more or disguising the call better. It is about understanding the new balance of power, designing smarter contact circuits that take context, expectations, and the sales cycle into account, and acknowledging that the phone is no longer the dominant channel, but rather one link within a broader workflow.
