Search Intelligence for Subscription Media

Turning archive assets
into revenue, through search intelligence.

Bernal is a search engine installed on subscription media websites. Through intent-based search and measurement by membership tier, it turns a reader's search — the most honest first-party data there is — into decisions for editorial and business teams alike.

The Problem

A shared challenge for subscription media

1

Archives that never become assets

Paying members search over 50x as often as non-members, yet the search box sits in an easy-to-miss spot on article pages — so archives rarely become an entry point.

2

Ever-rising acquisition costs

The cost of acquiring new subscribers keeps climbing, while improving retention among existing members is too often left for later.

3

"I couldn't find it" as a reason to cancel

Not being able to find the article you were after is a small but reliable reason members let their subscription lapse.

The Evidence

Search is the shortest route back into a buried archive

About 73%

Of clicks that came through search, about 73% led to articles published more than 31 days earlier.

You can estimate your own version of this figure from your existing access logs alone.

Measured at a partner media site we work with

The Solution

Bernal turns search into management data, along two axes

01

Intent-based search

Rather than matching keywords, we interpret what the reader is actually looking for — a design built to cut zero-result searches at the root.

02

Measurement by membership tier

We measure whether the person searching is a paying member, and make visible how search contributes to paywall conversion, billing and retention.

Value delivered — search accuracy

Search that understands intent moves the numbers this much

About 56%
Search results click-through rate (CTR)
About 3.7x baseline
About 8%
Zero-result search rate
Well below typical industry levels

Measured at a partner media site (compared with the pre-deployment baseline period, averaged across the full period, significant at the 95% confidence level)

Value delivered — business impact

Search becomes a metric tied directly to membership growth

About 57x
Difference in search usage frequency, paying members vs non-members
About 130x
Difference in usage frequency by where the search box sits (top pages vs article pages)
1 in 6
Share of paying members who use search on top pages
At least 1 in 5
Share of readers who reached the paywall via search and went on to subscribe (a lower-bound estimate)

Measured at a partner media site (based on weekly unique users; the conversion rate is a 95% confidence lower bound, Clopper-Pearson method)

A further finding: paying members make up only about 1% of all users, yet they account for over 40% of all search usage.
Value delivered — business impact (breakdown)

Where the 57x and 130x gaps actually come from

About 7%
Search usage rate, paying members (weekly unique users)
About 17%
Search usage rate on top pages, paying members (about 1% for non-members)

Measured at a partner media site (based on weekly unique users)

A further finding: article pages account for over 90% of all page views, yet generate only around 10% of all search activity. The same search box sees very different usage simply based on where it sits — below the banner on top pages versus at the bottom of the article on article pages, and that placement difference is what drives the gap.
Value delivered — how usage broadens

Change where the box sits, and how search gets used broadens too

When search lived mainly on article pages

Most searches came from readers who already knew which paid article they wanted — clear, purposeful queries.

After adding it to top pages too

Searches unrelated to any specific paid article — everyday lookups like a celebrity's latest news, sports scores, or current events — became noticeably more common.

A qualitative observation from a partner media site

A further finding: once readers start to see the search box as "the place on this site where I can ask anything," search stops being just a way to find an article — it becomes a habitual reason to return to and stay on the site.
Pricing & ROI

Simple, usage-based pricing

Free
Trial (PoC) · 6 weeks

Start with a free six-week trial to verify the impact — no new measurement set-up or tag changes required, and you can begin using your existing access logs alone.

$0.35
per paying member, per month (after the trial)

Usage-based pricing tied to your number of paying members. Billed separately from your membership and paywall platform, so it has no bearing on your existing billing arrangements. Set-up cost: $0

How we think about ROI: of readers who reach the paywall via search, at least 1 in 5 goes on to subscribe. Recovering even a small share of that incremental revenue more than covers the monthly fee.
Starting small

Start small, and verify rigorously

1

Quick diagnostic

Carried out using your existing access logs alone, with no new tracking or tag changes required — we can estimate your version of the "about 73%" figure right away.

2

Building a measurement layer (optional)

Once the initial results look promising, we build a more precise layer to measure page views, time on page and visit frequency.

3

Ongoing improvement

We compare outcomes with and without search in use, confirming the impact in numbers as we expand step by step.

About us

Why Bernal

It isn't a technical edge. What you choose to measure, and who reads the result, is where the real difference lies.

1

Different buyers need different units of measurement

We break results down by paying member, free member and non-member. Most search tools don't. That isn't a lack of technical ability — it's that the buyer is usually a web team. Only once you measure at this level does a difference like that 57x figure come into view.

2

We read the logs ourselves

We read every zero-result search, one by one. Our reports aren't auto-generated — which is exactly why we can't take on many publishers at once.

3

We don't call an inconclusive number conclusive

Before we start, we agree in writing on what success looks like, and on what would count as "no effect". We don't move the goalposts once work is under way.

This method was filed for patent in 2017, and has since been granted in both Japan and the United States (Japanese Patent No. 6832584; US Patent No. 11,113,297; inventor: Kazuo Ikeda). We first applied it to advertising, without success. It was only once we applied it to subscription-business metrics that a meaningful difference emerged.
Vision

Where we see this going

A search term is one of thousands of small signals readers send us about what they want. Bernal wants to live inside that data — making small discoveries continuously, and pointing media towards their next move. We call this presence a daemon: an intelligence that runs quietly in the background, turning what's buried in the data into order and value.

Start by showing us
your search logs.

Even a look at your existing search logs is often enough for us to tell you about patterns in zero-result searches, and where there's room to improve.

Get in touch

For partner and client media

Information publishers need for disclosure pages covering external transmission, where Bernal is installed on their site, is set out in our Privacy Policy. If you need anything confirmed individually, please get in touch.