Your marketing data can earn new revenue from hedge funds.
Valantiq helps you take the data you already hold to market, by the route that suits you. You add recurring, high-margin income on top of your core business.
- 17 yearsin marketing and media data
- 20+ awardsincluding a Cannes Lion for data technology
- 300+ fundsand asset managers within reach
Hedge funds already pay for data like yours.
Marketing data is among the most useful they can find. It shows how listed companies are doing before they publish results.
- What you trackA brandCoca-Cola · Fanta · Sprite
- Who owns itIts parent companyThe Coca-Cola Company (TCCC)
- What a fund invests inThe parent’s listed sharesTCCC → KO stock ticker
- What a fund buysYour data, mapped to the parent’s tickerTCCC brands → KO
Valantiq takes you from where you stand to licensed revenue.
We advise independently on whether to build in-house, go hybrid or outsource, and we bring the wider view on what to look out for.
- Step 1Readiness
Understand where you stand. We work with your team to understand your readiness and capabilities, starting with your client agreements.
- Step 2Route
Commit to the route that fits. We set your readiness against the routes, with the pros and cons of each, so you commit knowing why.
- Step 3Revenue
Reach licensed revenue. We take you through the route you chose, and stay close until it is turning into licensed revenue.
Which of your data would a fund want?
Find the kind of data you hold. See what it is, and the question a fund would ask of it.
Advertising spendWhat you hold Continuous observation of which brands are advertising where, with what creative and at what estimated spend.
What a fund asks 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 you hold Aggregated, consented signals on how audiences respond to ads by category and brand. They show what people engage with, click on and convert on.
What a fund asks Is a new launch winning real interest, or is heavy spend buying attention that doesn’t convert, ahead of the sales numbers?
Ecommerce dataWhat you hold Daily observations of price, promotion, availability as seen on the retailer’s site, search ranking and ratings for branded products.
What a fund asks 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 you hold Aggregated data on how people use websites and apps, measured at scale and tied to who is using them.
What a fund asks Which platforms, retailers and brands are gaining or losing users and time spent, ahead of the quarterly numbers?
Location dataWhat you hold Aggregated, anonymised counts of visits to places such as stores, restaurants and venues, and how that footfall changes over time.
What a fund asks 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 you hold Aggregated, anonymised records of what people buy, where and for how much, drawn from receipts, loyalty schemes and purchase panels.
What a fund asks Is a listed company’s sales growth running ahead of or behind expectations, and which brands are its customers switching to?
Social media dataWhat you hold What people say publicly about brands, products and companies on social platforms, measured by volume and tone.
What a fund asks 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 you hold 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.
What a fund asks 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 you hold Regular surveys and panels that track awareness, consideration and purchase intent for brands across a market, measured the same way over time.
What a fund asks 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 you hold Aggregated volumes of what people search for, by brand, product and category, over time and by market.
What a fund asks Is interest in a brand, product or category building or fading, and is demand shifting to a competitor ahead of the next results?
Seven questions decide whether a fund will give your data a try.
Funds judge data differently from marketers. These are their questions, and knowing them in advance can multiply what the data earns.
Does it map to listed companies?
A fund invests in securities, so the data has to connect to them.
Brands need linking to their parent companies and their tickers. An ecommerce data provider tracks products. A fund needs those products rolled up to the listed consumer goods company that owns them.
How much history is there?
Funds test a dataset against past results before they trust it.
Several years of consistent history is far more valuable than a richer dataset that began last spring. An advertising spend provider that has observed campaigns since long before the fund came calling has an advantage that cannot be bought later.
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. We value global datasets that serve the widest range of strategies, and niche single-market or single-category datasets that suit funds with new strategies.
How granular and stable is it?
Funds prefer the most detailed view you can lawfully provide, delivered the same way every time.
Methodology changes matter. If how the data is collected or measured shifts, the fund needs to know when and how, or it cannot tell a real trend from a measurement artefact.
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.
This is why the choice between exclusive, limited and broad distribution is one of the most important commercial decisions a data owner makes, and why it should be made deliberately rather than by accident.
Will it pass compliance?
Every fund’s compliance team asks four questions.
Where does the data come from? Do you have the right to license it? Does it contain personal data? Could it contain inside information? A clear answer to each, prepared in advance, is often the difference between a trial that starts in weeks and one that never starts.
A new line in the P&L, from data you already hold.
Licence income reaches operating profit almost intact. What is left is repackaging the data and taking it to market.
Recurring
Annual contracts, often running multiple years, much like a software subscription.
Sticky
Once a dataset is built into a fund’s models, switching away is costly, so renewal is the norm.
Incremental
A new stream on top of your core business, from a budget it has never sold into.
High margin
Its margin often reaches 90% or more, though every dataset is different.
Near-term
First licence revenue can arrive soon enough to show in this year’s numbers.
Licensing your data leaves your core business safe.
Your existing client agreements set the limits, and four safeguards keep you within them.
They are checked for whether they allow this use, or would need updating with your clients. Even if they allow it, you can still decide not to go ahead, if it could put your reputation or core business at risk.
Funds receive aggregated, anonymised outputs. Individual-level or household-level data is aggregated or it is not used at all.
A fund does not compete with your core business, and it licenses data for its own edge, so it has no reason to share it. Its licence also bars it from passing the data on, and Valantiq never holds or resells it.
Funds are institutional buyers whose compliance teams examine every dataset before it is used. Their standard is usually stricter than marketing’s. Data that is fully compliant in marketing can still fall short. That scrutiny protects you too.
Three routes to your first licence.
They differ in who does the work, how long it takes and what it costs.
In-house
Hybrid
Outsource
Tell us what you hold.
We’ll tell you whether there is a market for it, what it is worth and which route suits you.