Love Pulse Labs

Our Research

Real data from real relationships.
No assumptions.

We study what couples actually do. Not what they say they do, not what therapists prescribe. The observable patterns that predict connection, drift, repair, and growth.

How we work

01

Observe

We collect behavioral data from real couples using our consumer platform. Every data point is consent-tagged and anonymized at the point of collection.

02

Classify

Raw signals are categorized into five data classes: behavioral, linguistic, self-report, relational, and outcome. Each class has its own handling rules and consent requirements.

03

Analyze

We look for patterns, not prescriptions. Our analysis identifies what couples actually do differently, not what experts think they should do.

04

Publish

Findings are published with full transparency about sample size, methodology, confidence intervals, and limitations. No cherry-picking. No overstating.

Areas of study

We organize our research around four core conditions that define the state of a relationship at any given moment.

D

Drift

The gradual, often imperceptible distancing between partners. Drift doesn't announce itself. It accumulates in the silences, the routines, the moments you stop noticing each other.

Key signals: decreased check-in frequency, parallel screen time increase, conversation depth reduction

D

Desire

The force that pulls two people toward each other. Not only physical. Desire is wanting to be chosen, wanting to be seen, wanting to matter to someone specific.

Key signals: initiation patterns, anticipation behaviors, vulnerability frequency, curiosity about partner's inner life

P

Presence

The quality of attention you bring to the person next to you. Presence is measurable. It shows up in eye contact duration, device-free time, and the depth of daily conversation.

Key signals: device-free interaction time, response latency, active listening markers, shared silence comfort

R

Rhythm

The daily patterns that form the skeleton of a relationship. Morning routines, evening rituals, weekly check-ins. Rhythm is what keeps the connection alive between the big moments.

Key signals: routine consistency, ritual maintenance, shared activity frequency, synchrony in daily patterns

What we measure

Every data point we collect falls into one of four categories, each with its own consent requirements and handling protocols.

Behavioral Signals

  • Completion rates and consistency
  • Timing patterns and engagement windows
  • Repair velocity after conflict
  • Streak maintenance and drop-off points

Linguistic Signals

  • Sentiment shifts over time
  • We-language vs. I-language ratios
  • Blame marker frequency
  • Emotional valence in self-reports

Self-Report Signals

  • Assessment completions and scores
  • Attachment style distributions
  • Drift awareness scores
  • Relationship satisfaction tracking

Relational Signals

  • Partner synchrony patterns
  • Asymmetry in engagement
  • Repair-to-rupture ratios
  • Mutual check-in frequency