Most HR vendors hand you industry stats. Benefitra hands you cohort analytics and business recommendations from your company — the data, and what to do with it — with privacy guardrails baked into the data layer, not bolted on after.
"Employees who completed ≥3 financial-wellness modules in Q1 had higher Q2 goal attainment and lower 12-month voluntary turnover than non-participants in the same tenure cohort."
"Engineering team's pulse 'I feel financially supported' is down 6 pts; wellness participation down 22%; goal attainment trending soft. Cohort to watch."
"Employees receiving ≥2 recognition events per quarter retain at materially higher rates than peers in the same tenure cohort."
"These three cohorts show converging negative trends across pulse, wellness, and performance. Two are flagged for immediate manager intervention."
"42% of your hourly cohort never logged into the financial-wellness hub vs 78% of salaried — the cohort least likely to use the benefit is the one most likely to need it."
Cross-tool reports surface only at cohort floors — group sizes large enough that no individual employee is identifiable, even if you know their dept, tenure, and a few other facts.
The floors are enforced at the data layer, not the UI. Below floor, cells are suppressed by the database query — so even a buggy frontend, a curious admin, or an audit team running raw SQL cannot leak individual data.
Why this matters: ADA, ERISA non-discrimination, and state employee-privacy laws protect employees from individual-resolvable inferences about their financial state, health, or performance. Our k-floor enforcement is the technical answer to those legal requirements.
Illustrative numbers from a synthetic 220-employee professional-services firm. Your numbers, your cohorts.
Acme Professional Services · 220 employees · Synthetic example
Numbers are illustrative. Actual reports use your company's anonymized cohort data with k-floor enforcement (see Privacy section above). Participation correlation is descriptive — we report alongside industry-benchmark causal evidence (PwC, Mercer studies) and disclose self-selection caveats. Designed for renewal-conversation use, not predictive guarantees.
Or talk to a benefits strategist about your renewal cycle.
No. The data layer enforces k-floor cohort minimums on every analytical query — we cannot surface individual-resolvable insights even if we wanted to. Reports show only cohort aggregates with k≥10 (headline) or k≥25 (cross-tab) per cell. Below floor: cell is suppressed at the SQL layer, never reaches the UI.
k-floor anonymization aligns with HHS Safe Harbor patterns for de-identification. ADA and ERISA non-discrimination require that benefits decisions not single out individuals based on protected health or financial signals — cohort-only reporting structurally prevents that. State laws vary; ask for our compliance brief during the sales conversation.
US-based PostgreSQL infrastructure, encrypted at rest and in transit. Tenant isolation at the database level. SOC 2 Type II in progress as part of the Enterprise tier readiness. Audit logs available for compliance review.
For headline percentages (k≥10), yes. For multi-axis cohort cross-tabs (k≥25), partially — you'll get fewer distinct cohort cells. We're transparent about this: the analytics moat sings loudest at 100–500 employees. Below 60 employees, expect headline cohort views, not granular slicing.
Yes — and we say so. Reports show observed correlations in your cohort data (descriptive). We pair every cohort number with industry-benchmark causal evidence (PwC Employee Financial Wellness Survey, Mercer Inside Employees' Minds, MetLife studies). Causal claims belong in the academic literature; renewal conversations need defensible cohort math, which is what we ship.
Engagement with each tool is voluntary (e.g., choosing whether to take the pulse survey, complete a financial-wellness module). The analytics layer reads aggregate engagement signals; it doesn't have a separate opt-in/opt-out because it never surfaces individual data. Your HR team can configure tool-by-tool opt-out at onboarding.
Those platforms do cross-domain people analytics at enterprise scale and enterprise price ($30–$50+ PEPM). Benefitra owns all four signal categories — pulse, performance, wellness, financial wellness — under one roof at $9–$24 PEPM, designed for 10–500-employee SMB. The moat is the integration at the SMB price point.
Your broker (or our in-house strategist) walks in with the Benefits-Investment ROI report customized to your cohort data. Quarterly cadence; renewal cadence aligns with your fiscal cycle. The narrative shifts from "industry says financial wellness benefits help" to "our cohort data shows your benefit is producing measurable goal-attainment and retention deltas in your company."
Try the Total Comp demo on the main platform page, or talk to a benefits strategist about your renewal cycle.
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