Marketing data your fund hasn’t seen yet.

We find marketing data businesses that have never sold to a fund, and prepare them first. You get first look, and exclusivity if you want it.

  • 17 yearsin marketing and media data
  • 8 yearsin leadership roles at WPP
  • IAB EuropeDigital Strategy Person of the Year 2022

Marketing data reads a company before it reports.

It follows named brands, those brands belong to listed companies, and it shows how those companies are performing before they publish their financial results.

Advertising spendWhat it is Continuous observation of which brands are advertising where, with what creative and at what estimated spend.

You’d ask Which listed companies are raising or cutting marketing ahead of their results, and what does that mean for the media owners and ad-tech businesses on the other side?

Advertising platform dataWhat it is Aggregated, consented signals on how audiences respond to ads by category and brand. They show what people engage with, click on and convert on.

You’d ask Is a new launch winning real interest, or is heavy spend buying attention that doesn’t convert, ahead of the sales numbers?

Ecommerce dataWhat it is Daily observations of price, promotion, availability as seen on the retailer’s site, search ranking and ratings for branded products.

You’d ask Is a listed consumer goods company gaining or losing price, availability and share of search against rivals and private label, weeks before its results?

Web & app usageWhat it is Aggregated data on how people use websites and apps, measured at scale and tied to who is using them.

You’d ask Which platforms, retailers and brands are gaining or losing users and time spent, ahead of the quarterly numbers?

Location dataWhat it is Aggregated, anonymised counts of visits to places such as stores, restaurants and venues, and how that footfall changes over time.

You’d ask Is footfall at a listed retailer’s or restaurant chain’s locations rising or falling against its rivals, weeks before it reports sales?

Transactional dataWhat it is Aggregated, anonymised records of what people buy, where and for how much, drawn from receipts, loyalty schemes and purchase panels.

You’d ask Is a listed company’s sales growth running ahead of or behind expectations, and which brands are its customers switching to?

Social media dataWhat it is What people say publicly about brands, products and companies on social platforms, measured by volume and tone.

You’d ask Is opinion of a listed company’s brands or a new launch turning, and does it move before the sales numbers do?

News and event dataWhat it is Coverage of companies, brands and products in the news, with the events behind it, such as launches, recalls, leadership changes and partnerships, dated to when each became public.

You’d ask Which listed companies have news building around them, a launch, a recall or a change at the top, and how far is it likely to move their results?

Syndicated researchWhat it is Regular surveys and panels that track awareness, consideration and purchase intent for brands across a market, measured the same way over time.

You’d ask Which listed brands are gaining or losing awareness and consideration against their competitors, and is that an early sign of market share moving?

Search dataWhat it is Aggregated volumes of what people search for, by brand, product and category, over time and by market.

You’d ask Is interest in a brand, product or category building or fading, and is demand shifting to a competitor ahead of the next results?

We qualify the data before it reaches you.

We ask seven questions of every dataset before we introduce it. You get a short overview. It shows how clear each answer is, and how ready the dataset is for a trial.

Does it map to listed companies?

A fund invests in securities, so the data has to connect to them.

We check that brands are linked to their parent companies and their tickers. An ecommerce data provider tracks products, and you need those products rolled up to the listed consumer goods company that owns them.

How much history is there?

You will want to test a dataset against past results before you trust it.

Several years of consistent history is far more valuable than a richer dataset that began last spring. A provider that has observed campaigns since long before your fund came calling has an advantage that cannot be bought later. We show you how far back each dataset goes.

How wide is the coverage?

Coverage means companies, categories and countries.

A web & app usage data provider covering every significant website and app in its market answers more questions than one covering a single sector. Global datasets serve the widest range of strategies. Niche single-market or single-category datasets suit funds with new strategies.

How granular and stable is it?

You will want the most detailed view that can lawfully be provided, delivered the same way every time.

Methodology changes matter. If how the data is collected or measured shifts, you need to know when and how, or you cannot tell a real trend from a measurement artefact. We ask for this before we introduce a dataset.

How fresh is it?

A signal is worth most before the market has it.

Daily delivery is the standard funds look for. Weekly is still useful, but a step down. A provider that can show what’s changing within days is describing the present. A quarterly summary describes the past.

Who else has it?

Exclusivity impacts price.

We show you how widely a dataset is held, and you can ask for exclusivity if you want it.

Will it pass compliance?

Your compliance team will ask four questions.

Where does the data come from? Does the owner have the right to license it? Does it contain personal data? Could it contain inside information? We ask each of them first and prepare a clear answer, which is often the difference between a trial that starts in weeks and one that never starts.

We take our commission from the seller’s side.

Your fund doesn’t pay for scouting. Four things keep your side clean.

We’re paid by data owners, and by the companies that bring their data to market. If you’d rather pay us directly, ask, and we’ll agree terms that suit.

What you tell us you’re looking for stays between us. We don’t share it with data owners or other funds.

It sits with whoever holds the rights, and it bars passing the data on. We never hold or resell the data.

You receive aggregated, anonymised outputs. We ask where each dataset comes from, whether its owner can license it, and whether it holds personal data or inside information, before we introduce it.

Three ways to get first look.

Scout with us, send a brief, or take a place in a partnership with one fund only.

  1. Scouting

    We bring you datasets that are new to the market, as we find them.

  2. Brief

    Tell us what you’re looking for, and we’ll search our contacts in marketing and media data until the right dataset is ready for you.

    • Companies, sectors or brands you follow
    • Countries
    • How much history you need
    • How fresh, and how often
    • Whether you want exclusivity
    • What your compliance team will ask for
  3. Partnership

    We introduce one fund to a company that has not sold data to the market before, which we do rarely and with one fund only.

Tell us what you’re looking for.

Send a brief, or ask us to scout. We’ll tell you what’s out there, and what could be.