Most dental AI sales organizations build out a Voicify "Competitor A or Competitor B" battlecard library of fifteen, twenty, thirty cards — comparison matrix, pricing battlecard, clinical evaluation battlecard, migration battlecard, IT integration battlecard — and then never measure whether anyone reads them. Six quarters in, the library is a museum: three cards reps actually open before live calls, four they remember exist when prompted, and the rest sitting unopened with seven hundred days of recency rot on the timestamp. The battlecard analytics dashboard is the single screen that tells you which cards are working, which are invisible, and which are dead weight blocking the working ones from being found. It is the measurement layer that makes the rest of the cluster — governance SOP, quarterly refresh, certification, competitor move response — actually responsive to reality instead of accumulating sediment.
TL;DR
Eight metrics. Four quadrants. One archival rule. The Voicify A-or-B battlecard analytics dashboard tracks open rate, read time, attached-deal win rate, and recency on every card in the library, then sorts the whole library into a four-quadrant chart on opens-by-lift. Top-right cards govern; top-left cards need enablement; bottom-right cards need rewrite; bottom-left cards get archived after two consecutive quarters in the dead-weight box. Attribution uses a seven-day window between battlecard view and CRM stage advance, held within segment and slot tag, and the dashboard reports the relative lift across cards, not absolute causal claims. The competitive intel lead owns the dashboard. The quarterly refresh meeting reads from it. The governance SOP enforces the archival rule. The goal is a library where every card earns its slot, and reps stop scrolling past dead cards to find the three that matter.
Why a Battlecard Library Goes Dead Without Analytics
Sales enablement teams ship battlecards on the implicit assumption that the rep will know to open them. The assumption breaks the moment the library passes about ten cards, because rep attention is finite and the cognitive cost of choosing which card to open before a call exceeds the perceived value of opening any specific card. The rep defaults to the two or three cards she remembers from her last certification cycle, and the rest of the library — including the cards a product marketer spent forty hours building last quarter — never gets opened by anyone. Without a dashboard, this drift is invisible: the library page shows thirty cards, the certification report shows everyone passed, and the win rate is whatever it is. The dashboard is what makes the invisible visible, and what gives the competitive intel lead the data to defend or retire any specific card on its actual usage.
It also disciplines the writing. A product marketer who knows the dashboard will publish her card's open rate to the quarterly refresh meeting writes differently than one who is shipping into a black box. The dashboard is, in this sense, also a quality forcing function on the upstream work.
The Eight Metrics
Four families, two metrics each. Floors and ceilings are calibrated to a typical Voicify A-or-B dental AI sales motion of fifteen to thirty active reps; adjust proportionally for smaller or larger teams.
| Family | Metric | Floor / ceiling | What it tells you |
|---|---|---|---|
| Open rate | Opens per active-deal rep per week | ≥ 1.0 | Whether the card is on the consideration set at all |
| Open rate | Share of reps who opened in trailing 30 days | ≥ 70% | Whether opens come from the whole roster or a handful |
| Read time | Median read time | ≥ 45 sec | Whether reps read or scan-and-bounce |
| Read time | Bounce rate (opens under 15 sec) | ≤ 20% | Whether the card pays off the click |
| Attached-deal | Win rate with view in 7 days vs without | Lift > 0 within segment | Whether the card correlates with outcomes |
| Attached-deal | Share of won deals with at least one view | Tracked, no floor | Whether the card touches the won-deal funnel |
| Recency | Days since last open (any rep) | ≤ 14 | Whether the card is in active circulation |
| Recency | Days since last content update | ≤ 90 | Whether the card is current with the comparison matrix |
A card that fails two metrics in a quarter is flagged for review. A card that fails the same metric two quarters in a row is archived under the battlecard governance SOP. Archival is reversible — an archived card is moved out of the active library to a recovery folder and can be restored if a specific deal need surfaces — but it stops competing for rep attention against the cards that are working.
The Quadrant Chart — Where Decisions Get Made
The dashboard's headline visualization is a four-quadrant chart on two axes. Horizontal: open rate (opens per active rep per week). Vertical: attached-deal win rate lift over the no-view baseline, held within segment and slot tag. Every card in the library plots as one dot, color-coded by family — pricing, clinical, IT, migration, comparison, vertical-specific.
- Top-right — high opens, high lift. The working library. Three to seven cards in a healthy program. These govern the rest. The comparison matrix and the core battlecard almost always live here.
- Top-left — low opens, high lift. Reps who open it win, but most reps don't know it exists. Action: enablement, not archival. Surface it in the rep certification cycle and the manager coaching cadence.
- Bottom-right — high opens, low lift. Reps read it but the read does not change outcomes. Action: rewrite, usually for length or hedging. Often a sign the card promises more than it delivers in the first paragraph.
- Bottom-left — low opens, low lift. Dead weight. Two consecutive quarters here triggers archival. The library gets lighter; the working cards get easier to find.
The quadrant chart is the single most actionable artifact the dashboard produces. It converts noisy usage data into a binary decision per card — keep, rewrite, enable, archive — and gives the quarterly refresh meeting a structured agenda instead of a free-form library tour.
Attribution — The Seven-Day Window
The attached-deal metric uses a simple attribution rule: if a rep opened a battlecard in the seven days before a CRM stage advance on a deal she owns, the card gets credit for that advance. Credit is not causation — the rep clearly did other things in those seven days — but credit lets the dashboard rank cards by their correlation with movement. The window is held within segment and slot tag because a slot-tagged single-chair private practice deal has a different baseline win rate than a hundred-location DSO deal, and pooling them muddies the signal.
The dashboard reports the lift number with a legend that explicitly disclaims causal claim. The value is in the relative ranking — which cards are top-right versus bottom-right — not in the absolute lift percentage. A product marketer who points at a 14-percent lift number as proof that her card "drove" the quarter is misreading the metric; the right read is that her card is in the working library and should stay there.
How the Dashboard Connects to the Cluster
The dashboard is the measurement layer that the rest of the Voicify A-or-B cluster reads from. The quarterly refresh meeting uses the quadrant chart as its agenda. The governance SOP inherits the recency ceiling as its hard archival rule. The rep certification program uses the open-rate-per-rep metric to flag reps who certify on cards they never open after — certification theater, in other words. The competitor move response playbook feeds new cards into the dashboard with a thirty-day grace period before any floor metric applies, because a brand-new card from a competitor feature release needs time to enter the rep consideration set. The forecast call scorecard reads the attached-deal lift metric back as one input into manager coaching priorities — a rep with low battlecard opens and below-baseline win rate is a coaching candidate before she is a performance management candidate, because the data points at a behavior change first.
The dashboard is the boring instrument that turns a battlecard library from a museum into a working tool. It does not write better cards; it shows you which cards earn their slot. Combined with the governance SOP and the quarterly refresh meeting, it produces a library that gets smaller over time, not larger — and a smaller working library is the only kind that reps actually use before live calls with Voicify A-or-B dental AI buyers.