Behavioral Intelligence · E-commerce

Your users are leaving clues. becodify reads them.

Connect GA4, ask what you want to know, and get a psychological reading of your users. No dashboards to learn. No guesswork. Just clear answers and specific things to fix.

MVP Q4 2026
· Full product September 2027
· Co-builder spots available
becodify.io · Conversion Intelligence
becodify
Atlas Goods
atlasgoods.com
INTELLIGENCE
Dashboard
Behavioral Insights 5
AI Recommendations 12
User Journey
WORKSPACE
Experiments
Segments
Ask: why are users dropping on /checkout? ⌘K Ask
Conversion Intelligence
Why users are buying, and why they aren't.
✦ BECODIFY AI · TODAY'S FOCUS Loss aversion
Hesitation on the payment step is the largest conversion drag this week. The interpretation layer reads this as loss aversion: users disengage once the full cost becomes visible, not before. Three trust-cue experiments could recover roughly +0.42pp.
See 3 recommendations →Dismiss
CONVERSION RATE
4.82%
↑ +0.31pp
SESSIONS
124,810
↑ +8.4%
HESITATION EVENTS
2,141
↓ -38%
AI EXPERIMENTS LIVE
7
+3 winning
Top recommendations
Surface the running total earlier in checkout
Loss aversion Open
Add customer proof near the Atlas Pro CTA
Social proof In review
Simplify the monthly / annual toggle copy
Cognitive ease Open
Signal breakdown
Loss aversion
82
Social proof
61
FOMO
58
Cognitive ease
47
Scarcity
39
Illustrative example · MVP launching Q4 2026
Ask Becodify

Your data, explained in plain English.

No SQL. No analyst. Just type what you want to know and get a psychological reading of what your users are actually doing and why.

Sample question
"Why are users dropping off at checkout?"
Hesitation spikes right when the order total first appears, not at item review. That late reveal reads as a loss rather than an expected cost. Showing a running total from the cart step may soften the jump. 142 users affected.
Sample question
"What's driving cart abandonment this week?"
Sessions that see shipping cost before subtotal abandon at a noticeably higher rate. Loss aversion kicks in when the surprise cost appears late in the flow. Reordering the cart summary to lead with subtotal is the highest-leverage fix. 96 users affected.
Sample question
"Which page has the highest friction right now?"
The /pricing page shows the strongest confusion signal. Users toggle the monthly/annual billing option three or more times before committing. Cognitive ease is low: the two options are hard to compare at a glance. Clearer per-period labeling may reduce the back-and-forth. 87 users affected.
becodify.io / Atlas Goods / Recommendations
Recommendations
Reads worth acting on, ranked by the behavioral pattern behind them.
Surface the running total earlier in checkout
Loss aversion Open
Users pause right after the order total appears, not when reviewing item prices. That late reveal reads as a loss rather than an expected cost.
/checkout  ·  142 users affected  ·  Detected 2 days ago
Add customer proof near the Atlas Pro CTA
Social proof In review
Sessions arriving from the reviews section convert at a notably higher rate. Direct traffic never sees that proof before deciding.
/product/atlas-pro  ·  312 users affected  ·  Detected 2 hours ago
Simplify the monthly / annual toggle copy
Cognitive ease Open
Sessions on /pricing switch the billing toggle three or more times before committing. The two options are hard to compare at a glance.
/pricing  ·  87 users affected  ·  Detected 1 hour ago
How it works

From GA4 data to psychological clarity in three steps.

Step 01
🔗

Connect GA4 in one click

Link your Google Analytics 4 property directly. No data pipelines, no custom ingestion, no waiting months for data to accumulate. becodify reads your existing event data through GA4's official connector.

"Connected Atlas Goods GA4: 124,810 sessions loaded."
Step 02
💬

Ask in plain English

Type what you want to know. becodify maps your behavioral signals to a psychological framework and answers with context, cause, and the pattern behind what you're seeing.

"Why are users hesitating at checkout?" → Loss aversion triggered by late cost reveal. 142 users affected.
Step 03

Act on what matters

Every answer comes with a specific, prioritized recommendation tied to the psychological root cause. No generic tips. No guesswork. Just a clear next step and what fixing it is worth.

Behavioral Pattern Analysis

120+ patterns. Scored in real time.

becodify scores the active behavioral patterns in your store every week, so you always know which psychological forces are shaping your conversions right now.

Loss Aversion
82
Top signal: cart abandonment rate at checkout
Social Proof
61
Top signal: reviews-referred conversion rate
FOMO
58
Top signal: countdown banner click-through
Commitment & Consistency
54
Top signal: repeat-visit completion rate
Cognitive Ease
47
Top signal: pricing toggle back-and-forth
Scarcity
39
Top signal: low-stock badge add-to-cart rate

Plus 114+ more patterns across Attention, Memory, Trust, Price Evaluation, Persuasion, Decision-Making, Cross-Selling, and Loyalty.

For E-commerce Teams

Not just software. We work with you.

Alongside the platform, we run hands-on behavioral audits for e-commerce clients, turning your GA4 data into a prioritized conversion roadmap.

🔍
GA4 Behavioral Audit
Full funnel review: where users drop off and why, mapped to behavioral patterns using your GA4 event data.
🛒
Cart Abandonment Analysis
What's driving abandonment at each step, tied to specific pages and psychological triggers.
🧠
Psychographic Customer Profiling
Mapping browsing and purchase behavior to patterns: loss aversion, social proof, FOMO, scarcity, cognitive ease, commitment.
📈
Conversion Rate Diagnostics
Pinpointing the highest-cost friction points with a revenue estimate attached, so you know what fixing it is actually worth.

Interested in working with us directly?

We're currently taking on a small number of e-commerce clients for behavioral audits. Co-builders get early access to the platform as we build it.

Get in touch
The team

Strategy. Psychology. Data.

LA
Business lead
Lea Adams
Strategy & BD · Life Sciences, Consulting | MS Innovation & Entrepreneurship, ESADE
Commercial strategy background across life sciences and professional services. Bridges the product vision with market reality, customer relationships, and go-to-market execution.
↗ LinkedIn
LK
Psychology lead
Laureen Kriening
Psychology & Behavioral Science · Finance | BSc Psychology, First-Class Honours
Built the behavioral pattern framework from the ground up. Maps the science of human decision-making into the product's psychological intelligence layer, grounded in research and built for business.
↗ LinkedIn
AK
Technology lead
Ambika Kashyap
Data & Product Analytics · E-commerce, Fintech | Big Data Analytics, Georgian College
Builds the data infrastructure and AI layer that translates raw behavioral signals into pattern detection and actionable recommendations. 5+ years in analytics and conversion optimization.
↗ LinkedIn
Early access

Be among the first to decode your conversions.

We're building with a select group of e-commerce founders ahead of our Q4 2026 MVP. Join to get early access, help shape the product, and convert better before everyone else does.

No spam. We'll reach out personally.
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MVP · Q4 2026
Full product · September 2027
Co-builder spots available