The hidden cost of flat targeting

Your reps are paying
the targeting tax.

The cost is not another data subscription. It is selling time spent turning flat provider records into decisions, one browser tab at a time.

Calculate the cost

A 25-HOUR SELLING WEEK

RESEARCH · 10HSELLING · 15H
40%

of available selling time can disappear into manual fit research.

Illustrative scenario. Use your own assumptions below.

Where the tax hides

It never appears as
“target research” on the P&L.

01

Labor burn

Fully loaded rep hours go to verifying websites, business models, services, and staff structure.

02

Slow first calls

A good account sits untouched while the rep assembles enough context to feel confident making contact.

03

Bad-fit pipeline

Weak targeting creates wasted calls, follow-up, CRM updates, and manager attention rather than one isolated miss.

04

Thin accountability

When pipeline misses, a flat list cannot explain why an account was prioritized in the first place.

Use your own economics

Calculate your monthly
targeting overhead.

These are planning assumptions, not a claim about your team. Move the controls and make the estimate yours.

MONTHLY RESEARCH COST

$14,620

Your team spends about 172 hours each month doing manual targeting research.

4.3-week monthEditable assumptions

A REP’S MORNING WITHOUT BULLSEYE

  1. 08:10

    Pulls a specialty list. Every row has the same flat fields.

  2. 08:35

    Opens practice websites to find services, financing, equipment, and staff.

  3. 09:45

    Cross-checks directories, business profiles, and provider identities.

  4. 10:30

    Chooses the “best” accounts using partial context and instinct.

WITH A TARGETING LAYER

The rep starts with
the decision already made.

  • Prioritized account tier
  • Confirmed fit signals
  • Source-backed rationale
  • Exclusion and verification flags
  • Rep opening line and discovery question

Stop paying the targeting tax

Put your reps back in the conversations only they can have.

One 30-minute working session. We map the fit signals and hard exclusions that matter in your market, then show you what better prioritization looks like.

Book a Bullseye brief No contract. No patient data. No automated outreach.