The Evidence
Nearly two decades of continuous real-world evidence from The Tapping Solution platform—over 23 million guided sessions across anxiety, depression, chronic pain, and sleep disorders.
23M+
Guided sessions
1.2–1.45
Effect sizes (Cohen's d)
90%+
Sessions improved
26
Clinical topic areas
Typical digital mental health interventions show effect sizes of d = 0.3–0.5 in clinical trials. Our real-world data demonstrates effect sizes of d = 1.2–1.45 across conditions—2–3× the industry standard. This isn't a controlled study with 50 participants. This is what happens when millions of people use an intervention at the moment of actual need.
Cohen's d across digital mental health interventions
Effect size (Cohen's d): 0.2 = small, 0.5 = medium, 0.8 = large. Values above 1.0 indicate very large effects.
"EFT is the single most effective tool I've learned in 40 years of being a therapist."— Dr. Curtis Steele, Psychiatrist
Users rate their distress on a 0–10 scale before and after each session. This simple, ecologically valid measure captures the immediate impact of the intervention at the moment of use.
Unlike clinical trials conducted in controlled settings at convenient hours, this data reflects real-world usage: people reaching for help during actual episodes of distress, using the intervention when they genuinely need it.
Effect sizes are calculated using Cohen's d, the standard measure for comparing intervention efficacy across studies and conditions.
Real-world evidence (RWE) complements randomized controlled trials by showing how interventions perform outside controlled settings. While RCTs establish efficacy under ideal conditions, RWE shows effectiveness in actual use—with real patients, real adherence patterns, and real clinical outcomes. Our dataset represents one of the largest RWE bases in digital mental health.
By Condition
Effect sizes remain remarkably consistent across different conditions, suggesting a robust underlying mechanism.
d = 1.12
Effect size
843K+
Sessions analyzed
90%
Show improvement
137K
Unique users
Our anxiety programs demonstrate effect sizes that match or exceed FDA-cleared digital therapeutics like Daylight (Big Health), which achieved d = 1.08 in their published RCT with 256 participants.
The difference: our data comes from over 137,000 users completing 843,000+ sessions in real-world conditions—not a controlled trial environment.
"I was all over the place with anxiety—I was a 7, went down to a 1. Thank you so so much for the help through tapping."— Marthe 7→1
d = 1.21
Effect size
520K+
Sessions analyzed
88%
Show improvement
85K
Unique users
Depression presents unique challenges for digital intervention—the very symptoms of depression (low motivation, anhedonia, fatigue) make engagement difficult. Our data shows users still achieve meaningful relief.
The somatic-first approach may be particularly valuable here, as it doesn't require the cognitive engagement that depression often impairs.
"Despite being in therapy, in this tapping meditation I felt validated and understood for the first time. I felt free of judgment."— Nina 8→6
d = 1.22
Effect size
1.2M+
Sessions analyzed
89%
Show improvement
180K
Unique users
Chronic pain represents a massive clinical and economic burden, with opioid-related costs and risks driving urgent need for non-pharmacological alternatives. Our pain relief data shows robust effects across pain types.
The intervention's availability at the moment of pain flare—including middle-of-the-night episodes—addresses a critical gap in pain management.
"I used to be under the grip of constant pain for the last seven years. My overall pain level went from usually 6-8 to an average of 2-3. Thank you for this fantastic, rooted-in-science challenge!"— Eva, 28-Day Chronic Pain Relief Program
d = 1.41
Effect size
1.1M+
Sessions analyzed
92%
Show improvement
190K
Unique users
Insomnia and sleep disturbance are driven largely by cognitive hyperarousal—the racing mind that won't quiet at bedtime. Our sleep sessions show the highest effect sizes in our dataset.
Critically, usage data shows these sessions are actually used at bedtime (9pm–1am peak) and during middle-of-night waking (2am–5am secondary peak)—exactly when they're needed.
d = 1.25
Effect size
85K+
Sessions analyzed
87%
Show improvement
8/10
Median starting distress
Informal caregivers—over 53 million Americans—face elevated rates of depression, anxiety, and burnout with almost no access to traditional interventions. They can't leave their care responsibilities to attend therapy.
The median starting distress of 8/10 in this data indicates these are caregivers in genuine crisis, not research participants completing modules on a schedule.
In Context
Effect sizes from published research on digital mental health interventions.
Real-world data cannot isolate intervention-specific effects from placebo, expectancy, or time effects. Randomized controlled trials are needed to establish causality.
Our 0-10 distress scale, while ecologically valid, lacks the psychometric validation of standardized instruments like GAD-7 or PHQ-9.
Users who complete sessions and ratings may differ from those who don't, potentially overrepresenting those who experience benefit.
Current data captures immediate post-session effects. Durability studies are needed to assess longer-term outcomes.
Detailed analyses are being prepared for peer-reviewed publication. We welcome collaboration with researchers interested in advancing evidence-based digital interventions.
We're partnering with academic institutions to conduct controlled trials and expand the evidence base for EFT-based interventions.
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