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Paul Towers
Paul Towers

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Stop Guessing: How to Actually Measure If Your Battlecards Work

If your “competitive intel” lives in a Notion graveyard, this one’s for you

You ever ship something you’re secretly proud of, a full competitive hub, slick battlecards, talk tracks, objection handling, and then… nothing?

A few months ago I was talking to a technical founder who’d spent weeks wiring up a beautiful internal “competitor wiki” in Confluence. Integrations, diagrams, pricing breakdowns, the works.

His VP Sales pinged him in Slack:

“This looks awesome. Any idea if it’s actually helping us beat [Main Competitor] yet?”

Silence.

They had anecdotes. A couple of “this was super helpful” comments from AEs. But no real answer. No numbers. No way to say, “Yes, this helped us close $X more revenue.”

If that feels familiar, you’re not alone. Most teams treat competitive intel and battlecards like a one-time content project, not a measurable part of the revenue engine.

Let’s fix that.


Why Measuring Competitive Enablement ROI Actually Matters

If you’re running a startup, you already know the rule: anything you can’t measure gets cut when budgets tighten.

Competitive intel is usually one of those fuzzy line items:

  • “It helps reps feel more confident.”
  • “We’re having better conversations.”
  • “The team likes it.”

None of that flies in a board meeting.

When you can say things like:

  • “When AEs use the [Competitor X] battlecard, win rate jumps from 18% to 31%.”
  • “Deals that use battlecards move 6 days faster through the competitive stage.”
  • “We added $1.2M in pipeline wins last quarter where battlecards were used.”

…suddenly competitive intel stops being “nice-to-have content” and becomes a lever you can justify, fund, and scale.

Measurement gives you:

  • Credibility with leadership – You’re not just saying “we need more enablement”; you’re showing revenue impact.
  • Prioritization clarity – You know which battlecards to update, which to kill, and where the gaps are.
  • Team buy-in – Reps contribute intel when they see it turn into wins, not just docs.

The teams winning competitive deals aren’t just writing better docs. They’re instrumenting the whole system and iterating off the data.


The Core Battlecard Metrics That Actually Matter

Think of battlecards like a feature in your product. You wouldn’t ship a feature and never look at usage, conversion, or performance. Same mindset here.

Here are the battlecard metrics that separate “we tried enablement once” from “this is a real growth lever.”


1. Usage Rate: Are Reps Even Touching This Stuff?

If your battlecards live in a folder nobody opens, nothing else in this post matters.

What it is

How often reps actually access and interact with battlecards during real opportunities.

Why it matters

Usage is a proxy for trust and relevance:

  • High usage → reps believe it helps them win.
  • Low usage → content is hard to find, outdated, irrelevant, or too generic.

How to track it (practically):

  • Log views / opens per battlecard
  • Track edits or suggestions from the field
  • After won/lost deals, include a quick question in the form or CRM: “Did you use a battlecard in this deal?”

Quick benchmark for yourself:

  • If <30% of reps are touching battlecards in competitive deals, you don’t have a measurement problem—you have a product (content) problem.

2. Win Rate vs Specific Competitors: Your North Star ROI Metric

This is the one metric that gets executives to stop scrolling their email.

What it is

The difference in win rate:

  • Deals vs Competitor A with battlecard usage vs
  • Deals vs Competitor A without battlecard usage

Why it matters

This is your direct line from “we made content” to “we made money.”

If battlecards don’t move win rate, they’re decoration.

How to track it:

  • Tag deals in your CRM by primary competitor.
  • Add a simple field: “Battlecard used?” (yes/no or pick which one).
  • For each competitor:
    • Win rate when battlecard was used
    • Win rate when battlecard was not used

Then look for:

  • Lift: Is there a meaningful bump in win rate when the card is used?
  • Per-competitor differences: Maybe your [Competitor B] card crushes, but [Competitor C] isn’t moving the needle.

Example pattern to look for:

  • Competitor A:
    • With battlecard: 35% win rate
    • Without: 19% win rate
  • Competitor B:
    • With battlecard: 22% win rate
    • Without: 21% win rate

You know exactly where to double down and where to rethink the strategy.


3. Time-to-Response on Competitive Objections

This one’s less obvious but incredibly powerful.

What it is

How quickly and confidently reps respond when a prospect says things like:

  • “We’re also looking at [Competitor].”
  • “They said you’re missing X.”
  • “They’re cheaper and claim better support.”

Why it matters

Hesitation kills momentum. When reps say “let me get back to you,” you’re giving your competitor time to reframe the deal.

How to track it (without going crazy):

  • Use a call recording / conversation intelligence tool if you have one.
  • Tag moments when a competitor is mentioned.
  • Measure:
    • Time from objection to response (seconds)
    • Quality of response (you can score this manually: 1–5)
    • Follow-up required (did they need a separate email or call?)

Over time, you want:

  • Faster responses
  • Fewer “I’ll follow up later”
  • More consistent messaging that matches your battlecards

If you don’t have tooling, do a lightweight version:

  • Once a month, review 5–10 random calls where competitors come up.
  • Score them manually. Track improvements.

4. Deal Cycle Length Through the “Competitive” Phase

Battlecards shouldn’t just help you win more—they should help you win faster.

What it is

How long deals sit in the “we’re evaluating you vs X” phase.

Why it matters

If reps have clear, sharp competitive positioning ready to go, they don’t burn days:

  • Researching
  • Slacking product
  • Waiting for PMM to respond
  • Writing custom one-off docs

How to track it:

  • In your CRM, identify deals where a competitor is logged.
  • Track:
    • Time from first competitor mentionproposal.
    • Time from proposalclose.
  • Compare:
    • Deals where battlecards were used
    • Deals where they weren’t

If battlecards are doing their job, you’ll see:

  • Shorter “competitive evaluation” stages
  • Less back-and-forth and fewer stalls

Measuring the Quality of Your Competitive Intel (Not Just the Docs)

Good battlecards are only as strong as the intel behind them. If the data is stale, reps will smell it instantly and stop trusting the content.

Here’s how to measure whether your intel engine is alive or dead.


Intel Contribution Frequency: Is the Field Feeding the System?

What it is

How often reps push new competitive info back into the system.

Why it matters

High contribution = engaged team + living intel.

Low contribution = stale content + “this doc is old, don’t trust it.”

Metrics to track:

  • # of intel submissions per month
  • % of active reps contributing at least once a month
  • Types of intel:
    • Pricing changes
    • Feature gaps
    • New messaging from competitors
    • Reasons won / lost

If only one sales engineer is sending intel, you don’t have a program—you have a hero. If you are still not 100% sure where to start read our complete guide on how often you should update your battlecards.


Speed to Battlecard Integration: How Fast Does Intel Turn into Ammo?

What it is

Time from “rep shares intel” → “that intel is visible on a battlecard.”

Why it matters

If reps drop intel into a black hole, they’ll stop sharing. Fast turnaround tells the team: “Your input matters, and it helps others win.”

How to operationalize it:

  • Define a lightweight workflow:
    • Rep submits intel
    • Someone owns triage (PMM, RevOps, founder).
    • Approved intel gets added to the right battlecard.
  • Track:
    • Average time to approve / reject intel
    • Average time to update the battlecard

Aim for 24–48 hours for high-signal intel. The faster you close that loop, the more intel you’ll get. With tools like Playwise HQ it's easy for Reps to post intel they hear in the field directly onto the right competitor battlecard. Comments and insights can then be reviewed and approved by your Admin / Editor.


Accuracy & Relevance Scores: Do Reps Actually Believe the Content?

What it is

Direct feedback from the field on whether the intel is:

  • Correct
  • Current
  • Useful in real conversations

How to collect it:

  • Add a simple rating on each battlecard:
    • “How accurate is this?” (1–5)
    • “How useful is this in real deals?” (1–5)
  • Or run a quick quarterly survey:
    • “Which competitor cards do you trust?”
    • “What’s missing?”
    • “What’s wrong or outdated?”

If accuracy scores drop, usage will follow. Fix the trust issue first; everything else is downstream.


Turning Metrics into Action (Instead of Pretty Dashboards)

Data is only useful if it changes what you do.

Here’s how to actually use these metrics to make your competitive enablement better every month.


1. Kill or Fix Low-Value Content

If a section of a battlecard:

  • Gets low usage and
  • Doesn’t correlate with higher win rates

…you have a problem.

Don’t just delete it blindly. Do this instead:

  • Ask a few reps:
    • “Do you use this section?”
    • “If not, why?”
    • “Is it wrong, irrelevant, or just hard to use?”
  • If they don’t trust it or never need it:
    • Remove it
    • Or move it to a secondary “deep dive” doc

Your goal: every section on a battlecard should earn its place.


2. Clone What Works Across Competitors

Sometimes one nugget of intel punches way above its weight.

Example:

  • Your [Competitor A] card has a tight explanation of your technical edge (architecture, performance, security posture).
  • Reps use that section a lot.
  • Deals where it’s used close at a higher rate.

That’s a pattern.

Action:

  • Take that same framing and adapt it for:
    • Competitor B
    • Competitor C
    • “Generic alternative tools” scenarios

Don’t reinvent the wheel for every competitor. Reuse high-performing angles and tailor them.


3. Use ROI Data to Justify More Investment (Without the Fluff)

You don’t need a 40-slide deck. You just need a simple story:

  • “We rolled out battlecards in Q2.”
  • “Reps used them in 40% of deals vs Competitor X.”
  • “Win rate in those deals went from 20% → 32%.”
  • “That translated to ~$Y in additional closed revenue.”

Then you ask for:

  • More time from product to validate intel
  • A dedicated owner for competitive enablement
  • Better tooling to track and update battlecards

Once you can tie specific content changes to specific revenue outcomes, budget conversations get much easier.


4. Investigate Mismatches Between Usage and Outcomes

One of the most interesting signals is this combo:

  • High battlecard usage but
  • Low or flat win rates

That usually means:

  • The intel is accurate, but the storytelling is weak.
  • You’re reactive (just answering objections) instead of proactively reframing the evaluation.
  • The competitor has changed their strategy and your card hasn’t caught up.

In those cases:

  • Listen to a few calls where the battlecard was used.
  • Watch how reps use the messaging.
  • Iterate on:
    • Positioning
    • Narrative
    • Proof points (benchmarks, case studies, technical validation)

Treat it like debugging: the logs (metrics) tell you where to look, but you still have to inspect the code (calls, emails, Slack threads).


Why Measurement Is Your Real Competitive Edge

Most companies are still in the “we made some battlecards once” phase.

The ones that pull ahead:

  • Treat competitive enablement like a product:
    • Instrumented
    • Versioned
    • Continuously improved
  • Make data-driven calls about:
    • Which competitors to focus on
    • Which narratives to amplify
    • Which content to retire
  • Build credibility with sales and leadership:
    • “Here’s how our intel program added $X to the bottom line.”

When budgets get tight, teams with real metrics keep their programs, and usually get more resources. Teams running on vibes and anecdotes? They get cut.


Where to Start (If You’re Doing None of This Yet)

You don’t need a full-blown RevOps function to get going. Start small:

Week 1–2

  • Add a “primary competitor” field to your CRM.
  • Add a “battlecard used?” checkbox.
  • Make sure reps can actually find the battlecards in 1–2 clicks.

Week 3–4

  • Start tracking:
    • Win rate vs each competitor (with vs without battlecards)
    • Basic usage (views / opens)
  • Ask 3–5 reps:
    • “What’s missing?”
    • “What do you not trust?”

Month 2–3

  • Add:
    • Simple intel submission flow (or use a tool like Playwise HQ which offers this functionality directly on the battlecard itself)
    • A lightweight review + update process
  • Start measuring:
    • Time-to-response on objections (even manually at first)
    • Deal cycle length for competitive deals

From there, iterate like you would on any product feature.


Your Turn

If you’re running a startup or leading a technical team, your competitors are already in your deals, whether you have battlecards or not.

The question isn’t “Do we have competitive intel?”

It’s “Can we prove it’s helping us win?”

Curious to hear from this crowd:

  • Are you tracking any competitive enablement metrics today?
  • Have you seen battlecards actually move win rate or deal speed?
  • What’s been the hardest part: getting usage, getting intel, or getting buy-in?

Drop your experience (or horror stories) in the comments—would love to see how other teams are approaching this.

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