// Research

Phone vs email outreach benchmarks

Last verified · 2026-06-24

The short answer

Public benchmarks consistently report that SMS open rates are very high — frequently cited above 90% — versus email opens commonly in the 20–50% band, while cold-call connect rates are typically reported in the low single to low double digits. No channel wins on its own: each depends on the underlying contact being accurate and reachable. These are public industry ranges, not Trackyr measurements.

Methodology + honesty note: The channel figures below are aggregated from publicly published benchmarks and general industry knowledge, presented as typical ranges. They are not Trackyr measurements — Trackyr is pre-scale and runs no public channel-performance panel. Compliance rules for phone and SMS outreach vary by jurisdiction and consent status; the numbers here describe reach, not legality.

The headline comparison

On raw attention metrics, public benchmarks tell a consistent story: SMS gets opened at rates email cannot approach, but email scales and documents far more easily, and phone delivers the richest conversation when a connection is actually made. The commonly cited public ranges, as illustrative industry references rather than Trackyr data:

ChannelIndustry-typical reach metric (public, illustrative)Trade-off
SMSOpen rate frequently cited above ~90%High consent + compliance burden; short, hard to scale content
EmailOpen rate commonly ~20–50%; reply low single digitsScales cheaply, documents well; opens unreliable, easy to ignore
Cold call (phone)Connect rate typically low single to low double digitsRichest conversation when connected; labor-intensive, low connect rate

The metrics are not directly comparable — an SMS 'open' and an email 'open' and a phone 'connect' measure different things — but the public pattern is clear: SMS wins attention, email wins scale and record-keeping, phone wins depth-per-contact while paying for it in labor and low connect rates.

Why the channel choice is downstream of data quality

Every one of these benchmarks silently assumes the contact detail is correct. An SMS open rate above 90% is meaningless if the number is disconnected or reassigned. A 40% email open rate evaporates if the address bounces. A cold-call connect rate is zero on a wrong number. In other words, the channel comparison only matters once the data is accurate — and the public decay research says contact data, both email and phone, is constantly going stale.

Phone data deserves special caution: numbers get reassigned and disconnected continuously, so a phone record verified once and reused later can reach a stranger — a worse outcome than a bounce, because it wastes a live conversation on the wrong person.

Email vs phone decay are not the same

Email and phone records decay through different mechanisms, which matters for how often each should be re-verified. Email goes dead mainly through job changes and mailbox deprovisioning. Phone numbers go wrong through reassignment, disconnection, and porting. Both argue for re-verification, but the phone case is sharper because a reassigned number does not fail loudly the way a bounced email does — it connects you to the wrong human.

  • Email decay surfaces as bounces — a visible, measurable signal.
  • Phone decay often surfaces as wrong-number connects — invisible until the call goes badly.
  • Both decay continuously, so a one-time verification ages out of accuracy.
  • Multi-channel sequences amplify the cost of stale data: one bad record wastes effort across every channel it touches.

Multi-channel is the public best practice — with a caveat

Public outreach guidance broadly favors multi-channel sequences — combining email, SMS, and calls — because different prospects respond on different channels and repetition across channels lifts overall response. The caveat the data implies: multi-channel multiplies the cost of bad data. A single stale contact now wastes an email, a text, and a call instead of just one. The more channels you run, the more the accuracy of the underlying record matters.

What this implies, honestly

The honest synthesis: there is no universally best channel — there is a best channel for a given contact, audience, and compliance context, and all of them collapse to zero on inaccurate data. That is the public-data case for verifying both email and phone continuously rather than once. Trackyr is built around a single re-verified pool covering both, which is the design these benchmarks point toward. We claim no measured channel-performance advantage; we are pre-scale, and that number would be fabricated. The defensible claim is that accuracy gates every channel, and continuous re-verification is how you protect it.

// Common questions

Answered.

Does SMS really get opened more than email?+

Public benchmarks consistently report SMS open rates above roughly 90%, far higher than email opens commonly cited in the 20–50% band. But the metrics measure different things and SMS carries a heavier consent and compliance burden. These are public industry ranges, not Trackyr measurements, and an SMS open rate is worthless if the phone number is stale.

What is a typical cold-call connect rate?+

Public benchmarks generally place cold-call connect rates in the low single to low double digits — most dials do not reach the target. Phone delivers the richest conversation when connected but pays for it in labor and low connect rates. This is a public industry reference, not a Trackyr measurement, and it collapses to zero on a wrong number.

Is phone data riskier to reuse than email data?+

In one sense yes: a stale email usually bounces visibly, but a reassigned phone number connects you to the wrong person — an invisible failure that wastes a live conversation. Phone numbers are reassigned and disconnected continuously, so phone records arguably need re-verification at least as much as email. This is reasoning from public decay research, not a Trackyr measurement.

Are these channel benchmarks from Trackyr's own data?+

No. They are aggregated from publicly published benchmarks and general industry knowledge and presented as typical ranges. Trackyr is pre-scale and runs no channel-performance panel, so we present no internal channel measurement. We use the public ranges to explain why data accuracy gates every channel.

Trackyr

Put it into practice.

Verified creator + B2B contacts, one shared pool, paid only for what you use.

Start hunting →