Resources
49 guides on the numbers a music business runs on: what each metric actually measures, which ones decide a release, a tour or a signing, and what to do with them on a Monday morning. Written by the two people who build Backline.
Live and ticketing
Streaming is the first step of an audience funnel. Ticket sales is the outcome that matters. Here is what data to collect to know if listeners are converting to revenue.
Danny Angove · 4 min read
Live and ticketing
A tour route is usually chosen by agent relationships and venue size. More useful: core listener markets from your own streaming and audience data, ticket velocity by region, and whether ad spend is building new markets.
Danny Angove · 3 min read
Analytics foundations
A plain English glossary of the music data terms managers argue about: monthly listeners, save rate, playlist reach, sound usage, sell-through, reporting lag, and what each one is not.
Danny Starr · 7 min read
Danny Angove
Co-founder, Backline
The music business: releases, campaigns, touring, catalogue and the numbers a manager is held to.
30 articles
Danny Starr
Co-founder, Backline
The engineering: data pipelines, metric definitions, AI tooling, privacy and security.
19 articles
How the tools in this category differ, which questions separate them, and how to run an evaluation that survives month three.
Choosing a platform
A buyer's guide to the tools an artist manager actually needs, organised by job rather than by vendor: what the free native dashboards give you, and what a project data layer adds on top.
Danny Starr · 6 min read
Choosing a platform
Streaming shows what was heard. Tickets, advertising, web behaviour, search and press show what the listening turned into. Why the second half decides next month, and where it lives.
Danny Starr · 6 min read
Choosing a platform
A buying checklist for managers, labels and independent artists: the eight questions that separate a chart-tracking subscription from a platform you can actually run a project on.
Danny Angove · 5 min read
Choosing a platform
Feature lists in this category all look the same. The data model does not. A comparison of catalogue trackers, all-in-one suites and project data layers, and which questions each one answers.
Danny Starr · 4 min read
Choosing a platform
Switching costs in music analytics are mostly invisible until month two. The five questions that predict whether a move to a new platform will stick, from someone who has watched both sides of it.
Danny Angove · 6 min read
Choosing a platform
Music management suites and music data platforms are sold to the same buyer and solve opposite problems. How to tell which one your week is short of, and when a data layer is the answer.
Danny Angove · 5 min read
What the numbers mean before anyone builds a chart out of them: definitions, time windows, baselines and the difference between a signal and a wobble.
Analytics foundations
A plain English glossary of the music data terms managers argue about: monthly listeners, save rate, playlist reach, sound usage, sell-through, reporting lag, and what each one is not.
Danny Starr · 7 min read
Analytics foundations
A short list of music industry KPIs that survive contact with a real week, why each one earns its place, the popular metrics that belong in a footnote, and where each reads in Backline.
Danny Angove · 5 min read
Analytics foundations
A thirty second test tells you whether a music dashboard's date filter is real. Change the range and watch the streaming headline. What it means if the number does not move.
Danny Starr · 3 min read
Analytics foundations
There is no passback linking a stream to the advert that caused it. What you can measure is whether signals move together, and how to report that without overclaiming.
Danny Starr · 4 min read
Analytics foundations
Six things produce a chart spike, and only two of them are worth changing a plan for. How to tell them apart in half an hour, before anyone reforecasts a campaign on the strength of a Tuesday.
Danny Angove · 5 min read
Analytics foundations
Most alerting in music tools gets muted within a fortnight. What a Backline alert tells you the moment it arrives, why there are fewer of them than you expect, and why they are worth leaving on.
Danny Starr · 5 min read
Analytics foundations
A repeatable Monday routine for managers running several projects: what to look at, in what order, what to write down, and what to deliberately ignore until month end.
Danny Angove · 5 min read
Streams, listeners, followers, playlists, radio and short-form usage: how each one behaves, and how to read a release from them.
Streaming
What to check on release day, day three, day seven and day fourteen, which numbers are not readable yet, and the two decisions release week data should actually inform.
Danny Angove · 5 min read
Streaming
Three numbers that get used interchangeably and measure completely different things. What each one responds to, which can be inflated, and which one to quote in which conversation.
Danny Angove · 4 min read
Streaming
A playlist add raises the number of people who could hear you. Whether it becomes an audience comes down to two ratios, read in Backline two to three weeks after the placement ends.
Danny Angove · 5 min read
Streaming
How is the new single doing compared to the last one? Backline answers it by re-anchoring every track to its own release date, so a 2023 release and last month's share one axis.
Danny Starr · 4 min read
Streaming
Radio airplay and Shazam recognitions are the closest thing music has to a leading indicator, and almost nobody puts them next to their streaming data. What they tell you and how to read them.
Danny Angove · 4 min read
Streaming
Views on your own posts, views on videos using your sound, and your follower count are three separate measurements. Adding any of them to streams produces a number that means nothing.
Danny Starr · 4 min read
Where a project's listeners actually are, how they cluster, and how to act on that without collecting personal data about anyone.
Audience
Your biggest cities are usually just the biggest cities. A method for separating markets where you genuinely over-perform, and how to run it in Backline against your own audience data.
Danny Angove · 5 min read
Audience
Backline derives named, actionable audience segments for a music project from aggregate data, each with a size, a confidence level and recommended actions, and no fan-level records anywhere.
Danny Starr · 4 min read
Audience
You can size, locate and act on a committed audience without holding a single fan record. The four aggregate markers that do it, and how Backline turns them into segments you can work.
Danny Angove · 4 min read
Audience
Audience geography arrives at two granularities that will never reconcile. Which one to trust for which decision, and how Backline keeps both in one view per project.
Danny Starr · 3 min read
Routing, capacity, sell-through and box-office pacing, plus how live data connects back to everything happening online.
Live and ticketing
Streaming is the first step of an audience funnel. Ticket sales is the outcome that matters. Here is what data to collect to know if listeners are converting to revenue.
Danny Angove · 4 min read
Live and ticketing
A tour route is usually chosen by agent relationships and venue size. More useful: core listener markets from your own streaming and audience data, ticket velocity by region, and whether ad spend is building new markets.
Danny Angove · 3 min read
Live and ticketing
Total tickets sold tells you almost nothing. The shape of the curve between on-sale and doors tells you whether a show is fine, needs help, or needs help right now.
Danny Angove · 4 min read
Live and ticketing
Streaming geography is the best routing input most artists have and the easiest to over-trust. How to use it alongside the signals that actually predict who turns up.
Danny Angove · 4 min read
Live and ticketing
A practical decision tree for the final fortnight before a show: which interventions still work at which sell-through, and why discounting should be last.
Danny Angove · 4 min read
Live and ticketing
A run of twelve dates is one campaign with twelve outcomes. What a tour roll-up shows that per-date reporting cannot, and how Backline builds it from the shows you already have.
Danny Angove · 4 min read
Live and ticketing
Streaming teams and touring teams look at different dashboards and reach different conclusions about the same project. What happens when both sets of numbers share one timeline in Backline.
Danny Angove · 4 min read
Paid media, landing pages, links, email and press: what to measure while a campaign is live, and what to conclude when it ends.
Marketing and campaigns
Ad platforms report on themselves and report generously. The five numbers that tell you whether music advertising worked, and how to read them next to streams and tickets.
Danny Angove · 4 min read
Marketing and campaigns
A link page is the only step in a music campaign you fully control and fully measure. What to put on it, what Backline records per click, and the fan privacy line worth holding.
Danny Angove · 4 min read
Marketing and campaigns
Campaign tags are the cheapest analytics upgrade available and the easiest to ruin. A convention that survives three people, six months and a tour, and what to do with the data it produces.
Danny Angove · 4 min read
Marketing and campaigns
Every other route to your audience is rented from a company that can change the terms. What to measure on a music mailing list, and the honest benchmarks to measure against.
Danny Angove · 4 min read
Marketing and campaigns
Press gets reported as a list of links and then forgotten. Treated as a dated series next to everything else, it explains weeks that otherwise look like luck.
Danny Angove · 3 min read
Assistants, agents and scheduled reporting that answer from a project's own connected data instead of guessing.
AI and automation
AI analytics is at its best on triage, lookups and summary across every connected source. What to expect from an assistant like Ask Backline AI, and how it behaves on a real project.
Danny Starr · 4 min read
AI and automation
Ask Backline AI answers from the project's own connected sources, names the data it read, and says plainly when the data cannot answer. What trustworthy AI analytics looks like.
Danny Starr · 4 min read
AI and automation
The monthly label update, the on-sale watch and the campaign check, written from a project's own connected data and sent on a cadence you choose. What makes one worth reading.
Danny Starr · 3 min read
Identifiers, reporting lag, history and data quality: the work behind a dashboard you can quote in a label meeting without a caveat.
Data engineering
Open two analytics products on the same project and the streaming figures rarely match. Here is what causes the gap, which number deserves your trust, and how to test any tool in a demo.
Danny Starr · 4 min read
Data engineering
A new single that never shows up, or a re-release whose streams appear to reset. Both come down to the codes on your delivery. What to check, and how Backline keeps a catalogue and its history in one project view.
Danny Starr · 5 min read
Data engineering
Most of a project's history can be recovered on the day you connect it. What backfills itself, what a platform export gives you, and how Backline merges uploaded history and marks it.
Danny Starr · 3 min read
The shape of the recorded and live music business right now, and what it means for how a small team spends its time and money.
Industry and strategy
The UK is the third largest recorded music market, and its volume and its money are two different shapes. What that means for planning a release, a tour and a UK project's reporting.
Danny Angove · 5 min read
Industry and strategy
The recorded market grew for an eleventh year and the fastest growth has moved abroad. What a manager should measure once reach stops rising on its own, and where the new opportunity is.
Danny Angove · 4 min read
Industry and strategy
The numbers behind the market an independent artist is actually operating in, what the thresholds mean in practice, and which metrics follow from the economics rather than the marketing.
Danny Angove · 4 min read
Industry and strategy
Marketing attention follows the new release while the income comes from everything released before it. How to run a quarterly catalogue review, and how Backline makes it an hour.
Danny Angove · 4 min read
Industry and strategy
The manager who brings context wins the conversation, and the one who brings a screenshot loses it. How to structure a monthly update that holds up when somebody disagrees with it.
Danny Angove · 4 min read
Industry and strategy
Every artist knows the vanity numbers. The signals that move a signing conversation are quieter, harder to inflate, and mostly about whether an audience comes back.
Danny Angove · 3 min read
Handling other people's data properly: fan privacy, access control, and the legal roles that decide how easily a platform clears procurement.
Privacy and security
Every question a manager asks is answerable from counts and rates. How Backline measures streaming, ads, ticketing and press without ever holding a record about an individual fan.
Danny Starr · 4 min read
Privacy and security
A platform can be a controller for some data and a processor for the rest, and the distinction decides who answers a deletion request. Getting it clear before an audit, not during one.
Danny Starr · 3 min read
Backline is invite-only. If you manage artists, run a label or release your own music, tell us what you are trying to measure and we will take it from there.
