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Case Study

We Made 1,097 AI Cold Calls in the UAE. Here's What Actually Happens.

Anam Jalal

Founder & CEO, MAJ Leads

Updated 27 Jul 2026 · 11 min read

Quick answer

Across 1,097 AI outbound calls placed in the UAE between 2 June and 12 July 2026, 47.9% connected for at least 10 seconds, 21.1% became real conversations, and 3.4% of all dials booked a meeting. Afternoons outperformed mornings, hostility was nearly nonexistent, and every dial fell inside TDRA's legal calling window.

What exactly did we measure, and how do we know it's real?

Between 2 June and 12 July 2026, MAJ Leads ran an AI voice agent on one live outbound calling campaign in the UAE. Every dial, every connected second, and every outcome logged itself automatically in our own production database. Nothing here is a survey, an estimate, or an industry-wide average. It's 1,097 real dials from one real campaign, reported honestly, including the parts that don't flatter the pitch.

The core numbers cover 1,097 dials placed over six active weeks, plus one additional dial logged on 27 July that we've kept in the total rather than quietly dropping. All times in this article are Gulf Standard Time (GST). No client is named or identifiable anywhere in this piece: every figure below is a fleet-level aggregate, not one business's private performance data.

Two definitions carry the whole analysis, so we're stating them once and using them consistently. A call counts as "connected" once it runs 10 seconds or longer. It becomes a "conversation" once it passes 30 seconds. Anything shorter than 10 seconds is a no-pickup, an immediate hang-up, or a wrong number, not a connection. Sentiment and qualification scoring ran on a smaller, transcript-scored subset of 634 calls. We repeat that n=634 every time we cite it, because a sample that size deserves the caveat, not a headline percentage presented as though it covered all 1,097 dials.

How many of the 1,097 calls actually connected?

525 of the 1,097 dials connected for at least 10 seconds, a 47.9% connect rate. Roughly one call in five, 21.1% (232 calls), ran long enough to count as a real conversation of 30 seconds or more. The rest, 51.9% of dials (569 calls), never crossed the 10-second threshold at all.

Attempt number matters more than almost anything else we measured. First-attempt dials connected 53.7% of the time (431 of 802). By the second attempt at the same number, the connect rate dropped to 31.9% (94 of 295), a fall of nearly 22 percentage points. If a number doesn't pick up on the first attempt, the odds of a second attempt working are meaningfully worse, not roughly the same.

What happens once a call actually connects?

Connecting is not the same as succeeding. Here's how the 525 connected calls actually broke down:

Outcome mix as a share of the 525 connected calls (≥10 seconds)
OutcomeShare of connected callsCount
Booked a meeting7.0%37 of 525
Not interested62.3%327 of 525
Warm, not yet booked (enquired / prospect / future)9.3%49 of 525

Zoom out to all 1,097 dials and the booking rate is 3.4% (37 calls): roughly one in every 30 dials ends in a booked meeting. Zoom in to just the 232 calls that became real 30-second-plus conversations, and the booking rate climbs to 15.9% (37 of 232). Once a prospect actually talks to the agent for half a minute, better than 1 in 7 of those conversations converts.

The median connected call lasted 28 seconds. The average, 36.2 seconds, sits higher because of a tail of longer calls: 76 calls (6.9% of all dials) ran past the 60-second mark. Across the whole campaign, the agent spent 367.5 minutes on the phone, a little over six hours, to produce 37 booked meetings.

Does calling in the morning actually work better?

Conventional cold-calling advice says call early, before the day gets away from people. Our data says the opposite, at least for this campaign. Calls placed in the 09:00–11:00 morning block connected 44.5% of the time (157 of 353 dials). Calls placed in the 12:00–16:00 afternoon block connected 50.6% of the time (340 of 672 dials), a 6.1-point gap in the afternoon's favour.

Connect rate by hour of day, GST (1,094 timestamped dials)
Hour (GST)Connect rateDials
09:0038.8%129
10:0050.9%114
11:0044.5%110
12:0050.4%133
13:0053.3%135
14:0048.2%141
15:0051.7%147
16:0049.1%116
17:0040.6%69

13:00 was the single best hour to dial, connecting 53.3% of the time. 09:00, the hour most cold-calling scripts treat as prime time, was in fact the worst, at 38.8%. The late-afternoon hour of 17:00 was nearly as weak, at 40.6%. Dials tail off at both edges of the legal calling window, and the middle of the day carries the volume.

Connect rate by day of week (Monday–Thursday; no dials placed Friday–Sunday)
DayConnect rateDials
Monday44.3%264
Tuesday49.8%237
Wednesday54.1%294
Thursday43.8%299

Wednesday was the strongest day to dial, at 54.1%. Monday and Thursday, the two days furthest from the middle of the working week, both underperformed it. No dials were placed on Friday, Saturday, or Sunday, which matters for the compliance section below.

When do calls actually turn into booked meetings?

Connect rate and booking rate are not the same curve. Of the 37 total bookings, most landed in the late afternoon, not around 13:00, the hour with the best connect rate. We're presenting these as raw counts, not percentages: with only 37 bookings spread across nine hours, a per-hour percentage would imply more precision than the sample supports.

Booked meetings by hour of day, GST (n=37 total bookings)
Hour (GST)Bookings
16:008
10:007
14:006
15:004
12:003
17:003
09:002
11:002
13:002

16:00 produced more bookings (8) than any other hour, despite a connect rate (49.1%) that was middling, not the best. Whatever is driving that, who picks up at that hour, or how a conversation that starts late in the working day tends to unfold, it converts once it connects.

Do people actually get hostile with AI cold callers?

This is the finding that surprises people most. Of the 634 calls we scored for sentiment, 86.9% (551 calls) were neutral. Only 5.4% (34 calls) were positive, and 7.6% (48 calls) were negative. Genuinely hostile reactions (shouting, swearing, demanding to be removed in anger) showed up on exactly one call out of 634, 0.16%.

Call sentiment, LLM-scored subset (n=634)
SentimentShareCount
Neutral86.9%551
Negative7.6%48
Positive5.4%34
Hostile0.16%1

The dominant reaction to an AI cold call, in other words, is not anger. It's mild, neutral politeness, the same tone most people use to get any unwanted call off the phone quickly, human or otherwise. Sentiment also turned out to be the strongest qualification signal in the data: of the 34 positive-sentiment calls, 61.8% (21 calls) went on to qualify, against 3.6% (23 of 634) qualified across the full scored subset. A prospect who sounds pleased in the first 30 seconds is worth far more follow-up attention than the raw qualification rate alone suggests.

Were these 1,097 calls even legal to make?

UAE Cabinet Resolution No. 56 of 2024 sets a hard calling window for marketing phone calls: 9:00 am to 6:00 pm, Article 5(3). Every one of the 1,094 timestamped dials in this campaign fell inside that window. Zero calls before 09:00 GST. Zero at or after 18:00 GST. Zero on Friday, Saturday, or Sunday. That's 100.0% compliance, and it wasn't produced by someone checking a report afterward.

Note

Why this matters: a compliant AI dialer doesn't rely on a human remembering the rules. The scheduling logic makes calling outside the permitted window structurally impossible, the same way it's structurally impossible for the system to skip DNCR screening. See our full breakdown of the 9-to-6 telemarketing rule for the legal detail behind this number.

What does this mean if you're considering outbound AI calling?

A few honest takeaways, roughly in order of how much they should change your plan. Afternoon beat morning for this campaign by a real margin, not a rounding error: if your team is still front-loading dial lists into the first hour of the day out of habit, that habit is worth testing against your own data rather than assumed. The fear that AI cold calling provokes widespread anger is not supported by what actually happened on these lines: 0.16% hostile, out of 634 scored calls, should not be the reason a business avoids trying outbound AI. And connect rate and booking rate are genuinely different curves, so optimising purely for "more connects" will not automatically produce more bookings.

None of this guarantees these exact percentages will repeat on a different list, industry, or campaign. n=1,097 is one campaign's worth of evidence, not a universal law. What it does show is that the numbers are knowable. A properly instrumented AI receptionist and outbound calling deployment logs every dial, second, and outcome automatically, which is the only way to get an honest answer to "does this actually work" instead of a vendor's estimate. Our services overview covers what a deployment like this involves to set up and run; if inbound booking matters more to you than outbound dialing, our AI appointment booking page covers that side specifically.

Tip

If you've seen the "62% of calls go unanswered" or "$75 billion in missed calls" statistics elsewhere: we traced both back to their original sources, and neither means what it's usually presented as meaning. See our fact-check of the five statistics every AI-receptionist vendor quotes.

Sources

Frequently asked questions

How many AI cold calls does this benchmark cover?
This benchmark covers 1,097 outbound AI voice calls placed in the UAE over six active weeks, from 2 June to 12 July 2026, plus one additional dial logged on 27 July. All figures come directly from MAJ Leads' own production database, not a survey or a vendor estimate. We define a "connected" call as one lasting 10 seconds or more, and a "conversation" as one lasting 30 seconds or more. Sentiment and qualification figures are drawn from a smaller, transcript-scored subset of 634 calls, which we state every time we cite it. No client is named or identifiable anywhere in this data; every number is a fleet-level aggregate, not one business's private results.
Is it true that afternoon calls connect better than morning calls?
In this campaign, yes. Calls placed between 12:00 and 16:00 GST connected 50.6% of the time, versus 44.5% for calls placed between 09:00 and 11:00, a 6.1 percentage-point gap in the afternoon's favour. The single best hour was 13:00, at 53.3%, and the worst was 09:00, at 38.8%, the opposite of the "call first thing" advice that circulates in most cold-calling playbooks. Wednesday was also the strongest day of the week to dial, at 54.1%, while Monday and Thursday both lagged behind it. This is one campaign's data, not a universal rule, but the gap is wide enough that any team dialing primarily in the morning should test its own numbers rather than assume mornings are best by default.
Do people get angry or hostile when an AI calls them?
Rarely. Of 634 calls scored for sentiment, 86.9% were neutral, 5.4% were positive, 7.6% were negative, and only one call, 0.16% of the total, was scored as genuinely hostile. The overwhelming pattern is mild, neutral politeness, similar to how most people handle any unsolicited call, human or automated. This doesn't mean every caller is happy to be dialed: 62.3% of connected calls ended with the prospect saying they weren't interested. Positive sentiment carried real signal, though: of the calls scored positive, 61.8% went on to qualify, far above the 3.6% qualification rate across the full scored subset. But "not interested" and "hostile" are very different reactions, and the data shows the second one is close to nonexistent.
What percentage of AI cold calls actually result in a booked meeting?
3.4% of all 1,097 dials resulted in a booked meeting, 37 calls in total. Measured only against the calls that connected, the booking rate rises to 7.0% (37 of 525). Measured against just the calls that became genuine 30-second-plus conversations, it rises further, to 15.9% (37 of 232). Each of these is a correct number for its own denominator; which one matters to you depends on what you're trying to optimise, raw dial-list efficiency, connected-call efficiency, or conversation-to-close efficiency. Most vendor pitches quote whichever number looks best without saying which denominator produced it. We're stating all three so you can compare fairly against your own numbers.
Were these calls compliant with UAE telemarketing law?
Yes. Cabinet Resolution No. 56 of 2024 restricts marketing phone calls to the hours of 9:00 am to 6:00 pm, under Article 5(3), and the rule applies regardless of whether a human or an AI places the call. Across the 1,094 timestamped dials in this campaign, 100.0% fell inside that window: zero calls before 09:00, zero at or after 18:00, and zero on Friday, Saturday, or Sunday. This wasn't the result of manual monitoring. The dialer's own scheduler is configured so that calling outside the permitted hours isn't an option it can select, the same logic MAJ Leads applies to DNCR screening and consent handling on every deployment.

Anam Jalal

Founder & CEO, MAJ Leads

Anam Jalal is the founder of MAJ Leads, a Dubai-based AI voice agent company deploying TDRA-compliant AI receptionists and callers for UAE clinics, brokerages and SMEs — working hands-on across UAE telephony and CRM integrations, from SIP provisioning to TDRA compliance configuration.

Read more about Anam

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