For pharmaceutical sales forces
Reach and frequency by rep, by territory, by prescriber tier. Which high-decile prescribers had no call this cycle. Which accounts are on the plan and not on the calendar. From the CRM you already run.
Every field force measures reach and frequency and most compute it by hand. Covirage computes it from the call data, per rep and per tier, and reconciles it to the call plan.
Targets called against targets on plan, by decile, rep and territory.
Calls per target against the plan, with the shortfall in calls per week.
The target list and the call data are asserted against each other every refresh.
Three steps, in this order.
From Veeva or Salesforce. HCP IDs only.
Tiers and frequency targets by cycle.
Each rep gets their gaps. Each district manager gets the roll-up.
Short answers. The Help centre has the long ones.
HCP IDs only. Names stay in the CRM. Every answer carries an audit trail.
No. It reads Veeva and answers the questions Veeva reports do not.
A compliance note and audit export are provided with the Business plan.
Analytics software for pharma, compared · Alternatives to named products
Written for this desk: the measures, the data you already hold, and the arithmetic.
How a pharmaceutical commercial team carries formulary and access status on every account so that reach, frequency and share are computed among the accounts where the product can actually be prescribed, the two lists that fall out, calls on blocked accounts and uncalled accounts with open access, and the dated status that makes a quarter's numbers comparable to the last.
16 Sept 20262 min readWhy reach and frequency numbers drift when the call plan changes mid-cycle or calls are logged against prescribers who are not on it, how to keep plan versions with dates so every call is measured against the plan in force, and how to report off-plan calls as their own line rather than losing them.
16 Sept 20263 min readHow a pharmaceutical commercial team measures whether a formulary or payer win turned into prescriptions, from the access file, the prescription data and the call log: the accounts whose access opened on a date, their prescriptions before and after against accounts whose access did not change, the calls made to them in the weeks after the win, the territories where access opened and nobody called, and the honest statement of what the difference is and is not.
16 Sept 20262 min readHow a pharmaceutical field force computes reach and frequency per rep, territory and prescriber tier from the CRM call export and the call plan: the definitions, the roll-up that reconciles to the plan, a worked cycle, and the four ways the number is usually wrong.
16 Sept 20264 min readHow a pharmaceutical commercial team relates sample drops to prescription change per account and per territory, from the sample log and prescription data: the account's own baseline, the change in the weeks after sampling against accounts of the same tier not sampled, the territories where sampling moves nothing, and the honest wording that keeps a correlation from being reported as a cause.
16 Sept 20262 min readThe ten questions a pharmaceutical commercial head puts to the field and market access teams, what is reach and frequency among accounts that can prescribe, which calls went to blocked accounts, did the formulary win pull through, which territories are balanced on writable potential, which samples moved anything, which accounts have open access and no call, what did the cycle plan say against what happened, where did access change this month, which reps are off plan, and what changed, each with the table from the call log, the access file and the prescription data, and the answer to send back.
16 Sept 20263 min read