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Context

Growth & Market

Benchmarks

Good, for your category.

Your ROAS, CPA, CTR and conversion rate set against category and channel benchmarks, so performance is judged in context.

Already a customer? Open Benchmarks in your workspace

2
Working areas covered by Benchmarks
Continuous
Market and demand movement watched between reviews
1-to-1
Your account manager reviews benchmarks with you
hookology.ai / benchmarks
  • Settle the is-this-good-or-not argument using objective performance data.
  • Prioritise fixing your weakest conversion metric first.
  • Bring clear commercial context to monthly board reporting.

Compared to the right thing

Metrics are compared against your sector, channel and price point rather than a global average, so the verdict actually means something.

  • Category and channel matched comparison
  • Percentile position per metric
  • Movement tracked over time, not a single snapshot

Turned into a next move

Where you sit below benchmark, the gap is converted into a ranked action with the modelled value of closing it.

  • Gap to benchmark expressed in revenue
  • Actions raised into the decision queue
  • Used in the executive briefing and QBRs

The shift

What changes once Benchmarks is running

Same team, same accounts. The difference is that the decision is already measured before anyone opens a spreadsheet.

Before

  • Growth decisions are made channel by channel, after the opportunity has moved.
  • The team has to assemble the context behind benchmarks by hand.
  • Important changes are found late, after time or budget has already been lost.

With Hookology

  • Market movement, forecast impact and budget choices are evaluated together.
  • Settle the is-this-good-or-not argument using objective performance data.
  • Prioritise fixing your weakest conversion metric first.
  • Bring clear commercial context to monthly board reporting.
Good is a category question. An average across all industries is nobody's benchmark.
Why we built Benchmarks

Inside the product

What Benchmarks looks like on live accounts

This walkthrough uses our Northwind Apparel demo account so you can see the screen fully populated. On your workspace the same view is built from your connected platforms, so the first session already reflects your own numbers.

  • Settle the is-this-good-or-not argument using objective performance data.
  • Prioritise fixing your weakest conversion metric first.
  • Bring clear commercial context to monthly board reporting.
hookology.ai / benchmarks

Context / Benchmarks

Benchmarks

Northwind Apparel

Benchmarks

Northwind Apparel - last 28 days

Context

Category and channel matched comparison

£184,500 - 3.94x

Percentile position per metric

£612,480 - 3.32x

Movement tracked over time, not a single snapshot

£61,240 - 3.05x

Revenue (28d)

£184,500

+12.6% vs prior

Blended ROAS

3.94x

Profit adjusted

Turned into a next move

Where you sit below benchmark, the gap is converted into a ranked action with the modelled value of closing it.

Recent activity

Auto logged
TodaySettle the is-this-good-or-not argument using objective performance data.£184,500
Thu 05Prioritise fixing your weakest conversion metric first.£612,480
Wed 04Bring clear commercial context to monthly board reporting.£61,240

Google Ads

44%

Meta

37%

Pinterest

11%

TikTok

8%

How confidence works

Three evidence tiers, so nothing is stuck in 'needs data'

Every Benchmarks finding is labelled with how much evidence sits behind it. As data accumulates it moves up a tier and the recommendation tightens, so thin signals are never presented with the same weight as proven ones.

Tier 1 - Confirmed

Enough of your own history behind the finding

Read straight from your spend, market and demand data, with enough volume behind it that Benchmarks states the position rather than hedging it.

High confidence100%

Tier 2 - Emerging

Live signal, volume still building

The movement is real but young, so it is surfaced as directional and flagged for a second look before budget or roadmap time is committed to it.

Medium confidence62%

Tier 3 - Modelled

Too little data to measure directly

Estimated from the patterns your own account has already proven, and always labelled as modelled so it is never mistaken for a measured result.

Directional34%

Every finding ends on one of four verdicts

Act now

When

Confirmed evidence and material money attached

What happens

It moves to the top of the queue with an owner and the expected impact stated.

Plan it

When

Worth doing, but needs a slot rather than a scramble

What happens

It is sized and scheduled into the next cycle instead of jumping the queue.

Watch

When

Signal forming, evidence still thin

What happens

Tracked daily and escalated automatically the moment it firms up.

No action

When

Noise, or impact too small to be worth an hour

What happens

Closed out with the reason recorded, so it does not resurface every week.

In practice

How Benchmarks works week to week

From connecting your accounts to the review call, here is the shape of it, plus the questions teams ask us most before they start.

  1. Step 1

    We connect your accounts

    Your spend, market and demand data are wired up during onboarding, so Benchmarks works from your own numbers on day one rather than a sample workspace.

  2. Step 2

    Compared to the right thing

    Metrics are compared against your sector, channel and price point rather than a global average, so the verdict actually means something.

  3. Step 3

    Turned into a next move

    Where you sit below benchmark, the gap is converted into a ranked action with the modelled value of closing it.

  4. Step 4

    We review it with you

    We agree the comparison set with you so the benchmark reflects your real market. Nothing sits in a dashboard waiting to be discovered.

Common questions

Most workspaces are live within a few days of the discovery call. Once your platforms are connected we backfill history, so the first session already shows trends rather than an empty screen.

Benchmarks reads your spend, market and demand data directly. Nothing is estimated from benchmarks, and every figure can be traced back to the platform it came from.

Category and channel matched comparison, Percentile position per metric, Movement tracked over time, not a single snapshot, Gap to benchmark expressed in revenue, and more.

We agree the comparison set with you so the benchmark reflects your real market.

Why teams use it

  • Settle the is-this-good-or-not argument using objective performance data.
  • Prioritise fixing your weakest conversion metric first.
  • Bring clear commercial context to monthly board reporting.

How we set this up with you

We agree the comparison set with you so the benchmark reflects your real market.

Our onboarding process

Works alongside

See Benchmarks running on your own data

We build the workspace around your accounts and walk you through it together. No self-serve setup, no trial to configure on your own.

Book a discovery call