Performance & ROI analytics
Cost per lead. Expected pipeline. The numbers your CFO actually asks about.
Wengrow's analytics dashboard shows conversation volume, lead conversion rate, cost per lead vs platform spend, expected pipeline value, won revenue, top visitor questions, peak conversation hours, and funnel stage breakdown — all in one admin view.
The KPI tour
- Conversations per month — total (including single-message) and engaged (2+ message) side-by-side, with trend lines against last period.
- Lead conversion rate — what percentage of engaged conversations produced a qualified lead.
- Cost per lead — your monthly Wengrow spend divided by qualified leads captured. Compare against your paid-traffic CPL to see the net win.
- Expected pipeline value — leads × average deal size (you configure). Projected revenue in motion.
- Won revenue — actual closed business, fed from the "won" status + deal value fields on leads.
- Top visitor questions — the most common topics across conversations. Spot content gaps on your website.
- Peak conversation hours — when visitors engage most, broken down by day-of-week. Staff follow-up timing accordingly.
- Funnel stage breakdown — how many leads at each qualification stage (greeted → engaged → qualified → handed off → closed).
Only engaged conversations count
The analytics split single-message bounces from engaged conversations everywhere. Your "conversations" chart is always the real one — the conversations that actually happened. Bounces are visible as a separate, smaller metric so you know what percentage of chat-opens turn into conversations.
Read why we bill on engaged-only →
Attribution that actually works
Server-side UTM capture at signup means every conversion event is tied to the channel that brought the visitor — organic, paid, email, social. Attribution survives cross-tab magic-link signups and ad-blockers that break client-side tracking.
See which marketing channels feed your highest-converting leads. Allocate ad spend based on real data, not on what your ad platform claims it did.
Filter everything
- By date range — 7d, 30d, 90d, custom
- By deployment — compare a specific landing page against the widget on your main site, or compare client A against client B if you're an agency
- By lead status — exclude disqualified to see the "real" pipeline
- By source — organic vs paid vs direct
Export and integrate
- CSV export of any chart's underlying data.
- API endpoint for programmatic extraction into your BI tool (Looker, Metabase, Tableau).
- Webhooks (Pro+) fire on key events so you can feed a Slack channel or Zapier flow with real-time metrics.
Analytics FAQ
Measure what matters, from day one.
Analytics populate as conversations happen. Your first cost-per-lead number lands on day two.