WhatsApp's 98% Open Rate Is a Myth: What to Measure

Where the 98% WhatsApp open rate number actually comes from

It comes from a vendor's own marketing material, not from an independent measurement. The figure traces back to MessengerPeople (now Sinch Engage), a company that sells WhatsApp business tooling — a source with an obvious interest in making WhatsApp look unbeatable as a channel.

No published methodology, no disclosed sample size, no timeframe. Searchlab's 2026 review of WhatsApp business statistics flags exactly this problem: the "98%" figure gets repeated across hundreds of marketing blogs and agency decks, each one citing the last one, with nobody able to point to the original dataset (Searchlab, WhatsApp Business Statistics 2026). Searchlab's own review of real-world usage lands the actual range at 60-80% — high, but nowhere near 98%.

For a Canadian admissions counsellor deciding whether to add WhatsApp to a recruitment budget, that gap matters. A channel evaluated against an unverifiable 98% will always look better than the plan actually delivers.

What Skolbot's own data shows across school WhatsApp campaigns

Read rates on WhatsApp vary enormously by list quality — from over 90% down to under 40% — which means "WhatsApp open rate" is not one number at all. Across 40 school WhatsApp campaigns run through Skolbot in 2025-2026, three tiers show up consistently:

The 68% figure for an average opt-in list lines up with the platform-wide averages Braze reports across its own customer base, which is a useful sanity check: it's not a Skolbot outlier, it's roughly what independently measured WhatsApp read rates look like when the sample isn't self-selected by a vendor trying to sell the channel.

The gap between 94% and 38% isn't about WhatsApp itself — it's entirely about list quality. A segment of applicants who opted in after a program-specific inquiry behaves nothing like a purchased or scraped contact list blasted with a generic message.

Why a WhatsApp read receipt and an email open aren't the same event

They aren't comparable because they measure different things. A WhatsApp read receipt — the blue double tick — fires when the recipient actively opens and displays the message on their device. Meta documents this mechanism directly in its Business Messaging webhook reference: the "read" status only posts once the message has been delivered to the device and the conversation thread has been viewed (Meta for Developers, Messages Status Webhook).

An email "open," by contrast, usually fires from a tracking pixel loading — and that pixel doesn't require a human to look at anything. Since 2021, Apple Mail Privacy Protection (MPP) has auto-preloaded tracking pixels for every opted-in Apple Mail user, whether or not the person ever opens the message, scrolls past it, or deletes it unread.

Validity's 2024 study on this exact distortion found reported email open rates inflated by 18 to 32 percentage points above verified engagement for senders whose lists lean heavily on Apple Mail (Validity, Case Closed: The Mystery of Declining Email Open Rates). A school reporting a "31% open rate" on an admissions email sequence may be looking at a number that's mostly Apple pre-fetching, not applicants reading.

The rule this article follows

Never present "WhatsApp 98% vs. email 25%" as a comparison of the same metric, because it isn't one. One side is an unsourced vendor claim measuring active message display; the other is a platform-inflated proxy that fires without a human looking at anything. Put them side by side and you're not comparing channels — you're comparing a marketing claim to a measurement artifact.

The only fair comparison is verified engagement against verified engagement: WhatsApp's read receipt against an email platform's click-through or reply rate, not its raw "open" count.

Three metrics to track instead of open rate

Open rate — on either channel — tells an admissions team almost nothing about whether a prospect is progressing toward an application. These three do.

Read rate, segmented by list quality

A single blended read rate hides more than it shows, because a 65% average could mean every segment performs evenly or it could mean a strong opt-in segment is masking a weak mass-send segment dragging the number down. Report read rate by segment — program inquiry, open house sign-up, cold-list add — and the 90%-versus-38% spread above becomes visible instead of averaged away.

Response rate

A read message that gets no reply hasn't moved an applicant anywhere in the funnel. Across Skolbot's opt-in WhatsApp campaigns, the average response rate runs 22-28% — a number worth tracking on its own, separate from read rate, because it's the closer proxy for actual interest.

Cost per qualified conversation, in CAD

Cost per lead counts contacts, not outcomes, and it rewards a campaign for reaching a lot of people regardless of whether any of them qualify. Cost per qualified conversation — platform and staff cost divided by conversations that reach a genuine qualification point (program fit confirmed, application started, appointment booked) — ties spend to something an admissions office can act on.

A Canadian example: a program-specific WhatsApp campaign costing $850 CAD in platform and content time that produces 40 qualified conversations runs at roughly $21 CAD per qualified conversation. Compare that figure month over month, segment over segment — not against an unrelated "open rate" from a different channel.

Building this into a Canadian recruitment stack

Canadian schools already run CASL-compliant opt-in flows for email, and the same consent discipline extends directly to WhatsApp. Canada's Anti-Spam Legislation is one of the strictest opt-in consent regimes anywhere, and PIPEDA governs how conversation data gets stored and processed once an applicant has opted in — neither changes because the channel is WhatsApp instead of email. This isn't a compliance deep-dive; the short version is that an admissions counsellor building a WhatsApp list should apply the same explicit-consent standard already in place for the email database.

With consent handled, the measurement discipline above is what turns a WhatsApp pilot into something a marketing budget can defend against a Maclean's-ranked competitor also fighting for the same applicant pool. Segmented read rate, response rate, and cost per qualified conversation in CAD give an admissions office a defensible story — "98% open rate" doesn't survive the first question about where it came from.

For the broader case on why WhatsApp outperforms phone outreach with international applicants specifically, see International Student Recruitment: Why WhatsApp Beats the Call. For the full picture of where WhatsApp fits inside a school's acquisition channel mix, see the pillar guide, Digital Marketing for Higher Education, and for how to weigh channel cost against enrolment outcomes, see Student Acquisition ROI.

FAQ

Is the 98% WhatsApp open rate completely made up?

Not fabricated from nothing, but unverifiable. It originates in marketing material from MessengerPeople/Sinch Engage, a WhatsApp tooling vendor, with no published sample or methodology behind it. Independent reviews like Searchlab's put real-world WhatsApp read rates at 60-80%, and Skolbot's own measured data shows the range depends heavily on list quality, from roughly 38% to 94%.

Why does WhatsApp still outperform email on genuine engagement?

Because a WhatsApp read receipt requires the recipient to actually open and view the message, while an email "open" often fires from a tracking pixel that Apple Mail Privacy Protection preloads automatically. WhatsApp's advantage is real, but it's smaller and more list-dependent than the 98%-vs-25% comparison suggests once both sides are measured on the same terms.

What counts as a "well-managed" opt-in list for WhatsApp?

One built from specific, intentional actions — a program inquiry, an open house registration, a request for a prospectus — rather than a purchased contact list or a blanket import. Skolbot's data shows well-segmented opt-in lists reading at 90-94%, against roughly 38% for broad, unsegmented sends.

Does CASL apply to WhatsApp messages the same way it applies to email?

Yes. CASL's consent requirements apply to commercial electronic messages regardless of channel, so a WhatsApp broadcast to Canadian applicants needs the same documented opt-in as an email campaign. PIPEDA then governs how the resulting conversation data is stored and used.

What should replace "open rate" in a monthly recruitment report?

Segmented read rate (by list source), response rate, and cost per qualified conversation in CAD. Together they show whether a WhatsApp campaign is reaching engaged applicants and moving them forward — an unsegmented open rate shows neither.