---
title: "Measuring the Impact of Publicity"
description: "Publicity updates are rich in detail —but it's difficult to map that activity to your sales data If you work at a small or mid-sized publishing house, this probably sounds familiar: Every few..."
url: https://www.boxcarmarketing.com/measuring-the-impact-of-publicity/
date: 2026-01-16
modified: 2026-01-15
author: "Monique Sherrett"
image: https://www.boxcarmarketing.com/wp-content/uploads/vitaly-gariev-pdQIqtbeIsE-unsplash.jpg
categories: ["Google Analytics", "Harebrained Ideas"]
type: post
lang: en
---

# Measuring the Impact of Publicity

## Publicity updates are rich in detail —but it's difficult to map that activity to your sales data

If you work at a small or mid-sized publishing house, this probably sounds familiar:

Every few weeks, you receive a detailed publicity update (often as a nicely formatted email), which includes reviews, interviews, best-of lists, excerpts, events by title. It’s clearly *good news* — but when someone asks:

- *Can we see the impact of publicity in our GA4, Shopify, or sales data?*

- *Is this working?*

- *Which books should we support with marketing*

…the answers are fuzzy.

This post isn’t about turning publicity into performance marketing. It’s about giving sales and marketing a **lightweight, realistic way to make publicity usable in analytics and decision-making** — without overpromising ROI.

## First: what publicity is (and isn’t)

Publicity doesn’t behave like paid media. It rarely comes with clean links back to your site, timestamps, or even attribution.

What it *does* do well:

1. Awareness & discovery

New audiences
2. New geographies
3. Credibility & validation

Trade confidence
4. Awards, lists, reviews
5. Momentum & longevity

Best-of lists
6. Bestseller persistence
7. Activation support

Gives marketing something to amplify
8. Improves email, social, retail confidence

> Think of publicity as a multiplier, not a conversion channel.

Analytics can’t prove that a single media hit sold books — but it *can* help you see where earned attention is turning into real audience interest.

## Step 1: Decide which publicity is worth measuring

Not all coverage deserves analytics attention.

Create simple **outlet tiers **tailored to your coverage:

- **Tier 1**: Mass reach / authority (national broadcasters, major influencers)

- **Tier 2**: Industry and literary influence (trade and respected book outlets)

- **Tier 3**: Community and niche (blogs, podcasts, substacks)

For reporting purposes, focus on **Tier 1 and Tier 2**. This keeps effort proportional to signal.

## Step 2: Turn an unstructured email into usable data

You don’t need automation or perfection. You need *consistency*.

For each publicity email, do one quick extraction pass into a shared spreadsheet. Capture:

- Title

- Author

- Outlet

- Coverage type (review, list, excerpt, interview)

- Date (Month-Year is fine)

- Market (Canada / US / UK / International)

One row per hit. Dropdowns where possible. Skip anything that’s vague or internal-only.

Estimate: **15–30 minutes per reporting period**.

## Step 3: Apply a lightweight publicity score

Instead of asking “Did this sell books?”, ask:

> Which titles have the strongest earned-media momentum right now?

A simple score helps answer that consistently.

**Outlet weight (example)**

- Tier 1 (mass reach): 5 points

- Tier 2 (industry influencer) : 3 points

- Tier 3 (niche influencer) : 1 points

**Coverage type**

- Bestseller or best-of list: 3–4 points

- Review or excerpt: 3 points

- Interview or feature: 2 points

- Mention: 1 point

**Market reach**

- International: 3 points

- National: 2 points

- Regional: 1 point

Optionally add a small momentum bonus if a title appears multiple times in the same period.

The goal isn’t precision — it’s *comparability*.

Note: The above is not meant to be prescriptive. Decide internally on the tiers and scoring that work for you.

The point of putting the info into a spreadsheet is that you can then integrate publicity mentions into analytics dashboards or create graphs or charts to highlight momentum. Turning unstructured email into a simple structured spreadsheet allows for analysis.

## Step 4: Use GA4 for context, not attribution

Once you’ve identified high-momentum titles, GA4 helps you ask better questions.

Focus on:

- **Page trends** for book and author pages (baseline lift, not spikes)

- **New users** and engagement over time

- **Incoming traffic**, look at the sources, during major publicity windows

- **Excerpt downloads and outbound retail clicks**, if tracked

Use annotations or reporting notes to mark major publicity moments, then review the **7–21 days after**.

You’re looking for directional change, not proof.

## Why this is worth doing

This approach helps marketing:

- Identify *which* books deserve extra marketing support

- Avoid spreading effort evenly across unequal signals

- Have clearer conversations with stakeholders about what publicity can and can’t do

- Use analytics to support judgment — not replace it

Most important, aim for something **sustainable**. No complex dashboards required. Just create enough structure to make better decisions.

## The takeaway

Publicity doesn’t need to be justified by analytics to be valuable.

But when you give it light structure — tiers, scores, and context — analytics can finally help answer the right question:

> Where is earned attention turning into real audience interest?

That’s a question worth measuring.