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How to build an objection playbook from public data

March 29. 2026 · 7 min read

Joanna Wiebe read 500 Amazon reviews for 6 books on alcoholism. She pulled one sentence from a reviewer. She tested it as a headline for Beachway rehab center. CTA clicks went up 400%. Form submissions went up 20%.

The winning headline: “If you think you need rehab. You do.”

Not a copywriter's line. A reviewer's line. Pulled from public data. For free.

But here is the part most people miss. That headline did not just name a pain point. It crushed an OBJECTION. The objection every person considering rehab carries: “Maybe I do not really need this.”

Seven words. One objection. 400% more clicks.

Why objections matter more than pain points

Most copywriters collect voice of customer data and stop at pain points. They find out what hurts. They write about the hurt. And then the visitor reads the page. Nods. And leaves.

Because pain points tell someone they are in the right place. Objections are the reason they do not BUY.

A copywriter on Reddit explained the difference:

“A common framework is to categorize responses into: Pain Points and Frustrations. Objections and Hesitations. Desires and Motivations. What concerns or doubts keep them from buying?”

Three categories. Most people spend 80% of their time on pains and desires. They spend almost zero time on the third one. Objections.

And that is the category that determines whether someone buys or bounces.

The data on addressing objections

Marcus Sheridan shared this at Inbound: addressing buyer objections directly on a page can increase conversion rates by 80%.

NeuroMD rebuilt their landing page around objection handling. Their conversion rate went up 55.3%.

SafeSoft Solutions added transparent pricing to their conversion zone. The objection was “I do not know what this costs.” They answered it. Leads went up 100%.

Clari analyzed 224,000+ sales calls and found something counterintuitive. When a prospect raised an objection the win rate went UP by 30%. Objections are not rejection. They are engagement. They mean someone is CLOSE to buying. And looking for a reason to say yes.

But only 41% of sales reps are prepared to handle objections. And in copy the number is worse. Because most copywriters do not even know what the objections ARE.

Most copywriters guess at objections. Here is how to find them.

You do not need customer interviews. You do not need surveys. You do not need a $500/month research tool. Every objection your audience has is already written down. In public. For free.

Here is where to look. And EXACTLY what to look for.

Step 1: Find the objections (45 minutes)

Go to 5 sources. Spend about 9 minutes on each. Copy every sentence where someone explains why they ALMOST did not buy. Or why they chose NOT to buy. Or what made them hesitate.

Source 1: Reddit threads. Search your niche subreddit for “not worth it” + “waste of money” + “disappointed” + “switched from.” The Reddit research method works here too. But instead of mining pain points you are mining REASONS PEOPLE DID NOT BUY.

Source 2: G2 and Capterra reviews. Filter by 2-3 star reviews. Not 1-star (those are rage posts). Not 4-5 star (those are happy customers). The 2-3 star reviews are people who tried the product and had real HESITATIONS. They will say exactly what almost stopped them.

Source 3: Competitor landing page FAQs. FAQ sections are objection sections in disguise. Every question in a competitor's FAQ is an objection they heard enough times to address publicly. Write down every single one.

Source 4: Trustpilot negative reviews. Trustpilot reviews are gold for objections because people explain their DECISION process. “I signed up because X. But then Y happened. And now I feel Z.” That “but then” is the objection.

Source 5: Twitter/X complaint threads. Search “[competitor name] is” or “switched from [competitor name].” People on X explain their reasoning in real time. Short. Specific. Emotional.

After 45 minutes you will have 20-40 raw objection quotes. That is more than enough.

Step 2: Sort them into 5 categories (15 minutes)

Every objection falls into one of 5 buckets. This is how to analyze voice of customer data so it becomes USABLE:

1. Money. “Too expensive.” “Not sure it is worth the price.” “Hidden fees.” In the Frequency x Intensity framework this is almost always the #1 objection. 9.2% of sources in a 65-source study mentioned pricing as their top hesitation.

2. Time. “Takes too long to set up.” “Too much to learn.” “I do not have the bandwidth.”

3. Trust. “Will this actually work?” “I have been burned before.” “I do not trust AI to do this.”

4. Need. “I can do this myself.” “My current setup is fine.” “I do not need a dedicated tool.”

5. Authority. “I need to ask my boss.” “My client will not pay for this.” “The team will not adopt it.”

Put each quote in the right bucket. Count how many quotes per bucket. The bucket with the most quotes is your #1 objection. Address that one FIRST on the landing page.

Step 3: Find the counter-evidence (30 minutes)

Here is the part that turns research into a WEAPON.

For every objection you need a counter-argument. Not your opinion. Not “trust us.” EVIDENCE. From real people. Found in the same public sources.

Go back to the same 5 sources. But this time search for the OPPOSITE. People who overcame the objection. People who describe why the investment was worth it. People who switched and were glad they did.

For money objections search: “worth every penny” + “pays for itself” + “ROI” + “saved me.”

A real counter-evidence quote from a copywriter on Reddit:

“I am comfortable charging $8-10k for a funnel because I know I am walking in with a stack of VOC that is 2 inches thick. The copy is the tip of the iceberg. The research is the iceberg.”

That quote answers “is research worth the cost?” more powerfully than any argument you could write yourself.

For trust objections search: “actually works” + “was wrong about” + “surprised by.”

Another real quote:

“Voice of customer data is so helpful and makes my job so much easier. When I have a doc full of actual phrases from customers. The copy almost writes itself. When I do not have it. It feels like guessing and it takes me twice as long.”

For “I do not need it” objections search: “wish I had” + “did not realize” + “game changer.”

Aim for 2-3 counter-evidence quotes per objection. That gives you 6-15 counter-evidence quotes total.

Step 4: Build the playbook (15 minutes)

Open a spreadsheet. Or a doc. Whatever you used to organize your research. Create a table with 4 columns:

Column 1: The objection (in their exact words).

Column 2: The category (money. time. trust. need. authority).

Column 3: The counter-evidence (verbatim quotes from people who overcame the objection).

Column 4: Where to use it (FAQ. testimonial section. pricing page. hero subhead. email sequence).

Sort by frequency. The objection with the most mentions goes at the top.

This is your objection playbook. It becomes one section of a complete 23-section research brief. Every page you write for this audience starts here.

Step 5: Put it on the page (the placement math)

Where you place objection handling on the page matters. Here is a simple framework:

Objection #1 (most common): Address it above the fold. In the subhead or directly under the CTA. If most people hesitate on price put “No subscription. Pay once.” right next to the button.

Objections #2 and #3: Handle in the body. Social proof section. Testimonial section. Use the counter-evidence quotes you found as actual testimonials. Because they ARE testimonials. They are just from strangers on the internet instead of your clients.

Objections #4 and #5: Put them in the FAQ. This is where you use the exact words your audience uses as the question. Then answer with your counter-evidence.

The math

A landing page getting 5,000 visitors per month at 2% conversion = 100 signups.

Address the top 3 objections. Conservative estimate: conversion goes up 50% (the data shows 55-80% is normal). That is 3% conversion. 150 signups.

At $99/month per customer that is an extra $4,950/month. $59,400/year. From quotes you found for free on Reddit and G2.

Total time: about 2 hours. The ROI per hour is $29,700.

That is not a typo. Objection handling is the highest-leverage copy work you can do. Because it does not bring new people to the page. It stops the people ALREADY THERE from leaving.

The one thing to remember

Pain points get people to the page. Desired outcomes keep them reading. Objections decide whether they buy.

Most copywriters never build an objection playbook. They guess at what holds people back. Or worse. They ignore it entirely.

The data is already out there. Public. Free. Written in your audience's own words.

Go find it. Map it. Use it.

P.S. Brevvi pulls objections AND counter-evidence automatically. 100+ sources. 23 sections. Every hesitation mapped with real quotes. Run your first one free at brevvi.ai