Custom Research & Behavioral Insights

Custom research and behavioral insight work that most often supports broader data science and measurement-heavy consulting engagements.

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This capability most often supports Data Science work when teams need stronger measurement, better research design, and clearer evidence before acting on market, product, or audience decisions.

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Built for marketers, advertisers, and growth teams

Decision-grade insight

Effect sizes, confidence intervals, and revenue impact—translated into clear go/no-go and “what to change” guidance for non-research stakeholders.

Validated measurement

Psychometric construction (EFA/CFA, IRT, DIF) ensures scales actually capture persuasion, intent, and memory—so you’re modeling signal, not noise.

Predictive by design

From pre/post and synthetic controls to uplift models, our pipelines are tuned to predict in-market performance and brand outcomes—not vanity scores.

Fast & low-lift

Template libraries, best-practice question banks, and automated QC deliver a clean dataset and executive one-pager in days, not months.

Study types we run

Concept & Creative Testing

Single/multi-cell tests, message/visual variants, brand fit and distinctiveness, recall & persuasion indices, Johnson–Neyman regions for targeted lift.

How we implement →

Pricing, Packaging & Offer

Conjoint/choice-based, Gabor-Granger, Van Westendorp, willingness-to-pay distributions, and elasticity curves linked to conversion models.

Methods →

Brand Lift & Campaign Read

Pre/post and exposed-control designs, aided/unaided recall, consideration, intent, brand personality movement, and halo/drag analysis.

Case snapshots →

Segmentation & Personas

Mixture models / latent classes, needs-states, psychographic factors, and activation playbooks tied to channel and creative briefs.

Toolstack →

Journey & Conversion Drivers

Hierarchical regressions, key-driver analyses, path models and SEM to surface friction points and quantify what to fix first.

Methods →

Methods & measurement

Psychometrics

Construct mapping, EFA/CFA, reliability (α/ω), IRT & DIF for fairness, score bands and norms; critical incident prompts for ground-truth behaviors.

Modeling & Causality

Logistic/ordinal, hierarchical & mixed effects, uplift and treatment heterogeneity, DiD & synthetic controls; SHAP/ICE for explainability.

Design & Power

AB/MB testing, sequential monitoring, sample-size calculators, guardrails, and pre-registration when requested.

Governance

Bias audits, privacy by design, respondent quality (bot/farm screens, straight-lining, response time), and decision logs.

Toolstack & delivery

Survey & Panels

Qualtrics, Alchemer, Typeform, Prolific, Dynata; custom screeners & quotas with fraud controls and region/language support.

Analysis

R, Python, jamovi, SQL; reproducible notebooks, model cards, and technical appendices for your analysts and clients.

Visualization

Executive one-pagers, web dashboards with uncertainty bands & drivers, stakeholder decks, and creative briefs distilled from findings.

Handover

Code + data packages, variable dictionaries, and activation runbooks for internal teams and agencies.

Example outcomes

Creative optimization

Variant with higher “distinctive memory cue” and “relevance” factors drove a +19% purchase-intent lift in exposed-control test.

Pricing & offer

Conjoint-guided packaging change increased projected revenue +8–11% at stable NPS; elasticity identified a safe promo band.

Segment activation

Needs-state cluster 3 responded to benefit-led copy; channel reallocation + creative swap reduced CPA 14% quarter-over-quarter.

How a study runs

01. Brief & metrics

Clarify decisions, success metrics, constraints, and target audiences. Align on power and timelines.

02. Design & field

Instrument build from best-practice libraries, quotas/screeners, and automated respondent QC. Field within days.

03. Model & interpret

Psychometric validation, drivers & effect sizes, scenario simulations; translate into creative/media actions.

04. Activate

Executive brief, deck, dashboard, and enablement workshop. Optional test-and-learn roadmap.

Discuss Scope

Packages that fit agency timelines

Lite: Single-cell Concept Read

n≈250, core KPIs + drivers, 1 variant; executive one-pager in 5–7 business days.

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Plus: Multi-cell Creative Test

n≈600–900, 2–4 variants, brand fit & distinctiveness factors, driver analysis, deck + dashboard.

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Pro: Pricing & Positioning

Conjoint/MaxDiff, elasticity scenarios, segment activation guide, enablement workshop.

Discuss Scope →

Need a fast, defensible read before your next pitch?

If a brief is useful, PrimeStata can translate it into a scoped research plan tied to a broader flagship engagement.

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