Importance of first party identity resolution
Identity resolution

Why is first party identity resolution so important?


The Essentials in Brief

The main driver for first-party identity resolution solutions is the growing awareness of the protection of personal data on the internet. With increasing consciousness about data privacy, consents for third-party data use and cookies from third parties are subject to stronger regulatory measures and are increasingly discredited in public perception. Cookies have traditionally been a key element of personalised advertising on the internet. Companies are now faced with the challenge of finding alternative ways to effectively reach their target audiences.

Meaning of identity resolution

Customers expect companies to use their data responsibly to offer them tailored and relevant content. Identity resolution is the key to creating a consistent customer experience across devices, domains, and channels. Here, all data and information obtained about a customer are merged using an identity resolution graph, with the customer’s consent. An identity resolution graph shows which devices (such as smartphones, tablets, and laptops) a person uses and through which identifiers (for example, email addresses, mobile numbers, and customer numbers) this person can be addressed. By combining behavioral data, events, and personal and transaction-related information, a proprietary identity resolution graph enables more precise targeting.

Collaboration between Utiq and Teavaro

Recently, Utiq, the new European ad-tech company, and Teavaro, the leading European company for marketing identity solutions, announced their long-term partnership. With Utiq’s Authentic Consent Service and Teavaro’s platform for First-Party Identity Resolution, they fill a gap to enable responsible digital marketing while adhering to the strictest data protection regulations in the open web.

Teavaro has a sophisticated platform to create and maintain a dynamic identity resolution graph in real-time. As a strategic technology partner of Utiq, Teavaro possesses the necessary expertise to optimally support companies in the use of Utiq’s service. In this way, Teavaro adds value in two areas: through the seamless and smooth deployment and integration of Utiq’s Authentic Consent Service into the existing MarTech and AdTech stack, and the extension of company-owned first-party identity resolution graphs with the help of the Authentic Consent Service.

How the Authentic Consent Service Works in Identity Resolution

After users have given their consent, Utiq initiates a secure API call to the network operator to receive a network signal. This signal forms the basis for generating the consentpass, a unique random value closely linked to the network signal and represented by two secure activation signals: the martechpass and the adtechpass. The martechpass is designed as a longer-term, partner-specific pass (a pure first-party pass) for marketing purposes, while the adtechpass is shared as a short-term pass with brands and websites for targeted advertising purposes. These secure signals operate across browsers and devices, enhancing the accuracy of target audience engagement while simultaneously meeting the strictest data privacy standards.

Personalised Marketing in a Cookieless Digital World

The Authentic Consent Service enables companies to specifically target potential customers and prospects on the open internet, even without the use of third-party cookies. The key lies in Utiq’s collaboration with Demand-Side Platforms (DSPs), through which advertising space from publishers can be booked. This allows for cross-media frequency capping and ensures that the advertising is actually seen by people, not bots.

Teavaro’s solution helps companies to integrate the martechpass into their own identity resolution graph, thereby utilising their own first-party data among other things. This enables companies to effectively deliver their advertising to the right recipients. Additionally, audiences can be created that share similar characteristics to existing customers, thereby increasing the potential to engage prospects and convert them into new customers. Retargeting messages can also be further personalised based on user data, which can be accessed through the company’s own identity resolution graph.

This approach ensures effective customisation of marketing campaigns and marks a step towards a personalised, yet privacy-compliant digital future.

Improving User Identification

Furthermore, the martechpass can be used to enhance company-owned identity resolution graphs. It allows companies to process the network signal, which was previously exclusively available to telecommunications companies, to enable privacy-compliant communication with customers in the open web – without resorting to opaque methods like digital fingerprinting or probabilistic matching. Additionally, with the help of the martechpass, company-owned identity resolution graphs can be expanded to activate first-party data across all touchpoints. By expanding the identity resolution graph, companies can improve user identification between app and web, as well as across devices and domains.

Advantages of Identity Resolution

The use of a proprietary identity resolution graph leads to tangible benefits for companies and their customers. For example, one company, before working with Teavaro, relied on conventional solutions by linking customer login information solely with the first-party cookie on its own website. After implementing Teavaro’s multi-domain identity resolution, which helps to use login information from a linked website, 26 percent more customers could be identified, equating to 8.7 instead of 6.9 million users. Even more significant was the increase in resolved page views, which rose from 71 to 167 million – an increase of 135 percent.

Consent as the Key to Identity Resolution

The collection and processing of data for the creation of an identity resolution graph and the use of Utiq’s Authentic Consent Service is only possible after obtaining customer consent. Without this permission, the relevant data cannot be stored and processed. Users are given the opportunity to consent to the use of their personal data. At the same time, companies can provide personalised content without compromising user privacy.

Our mission is to truly connect people, brands and media​

We believe a true connection is built on explicit consent and grows over time as it offers unique value to all. The resulting relationships will be the foundation for scalable people-based marketing by tailoring content and interactions to individual people, not segments. This makes two-way communication possible.

About the author:

Dirk Rohweder

COO & Co-Founder

Dr. Dirk Rohweder, COO & Co-Founder, has over 30 years of experience in leadership positions in IT, telecommunications, consumer goods, and consulting, including as CIO of the Paulaner Brewery Group and T-Mobile (UK and Germany).

Since 2012, he has focused on customer data as a strategic asset and the basis for omnichannel marketing, data-driven business models, data protection, and consent for marketing activities (GDPR).

Popular items


customer connect

Our mission is to truly connect people, brands and medias

We believe that a true connection is built on explicit consent and grows over time as it provides unique value to all parties involved.

Today we are looking into the challenge of creating the single customer view and how this challenge is linked to identity resolution.
The idea of personalising a service or a product in response to a customer’s need is as old as commerce itself, but in the past generation the internet, cloud computing and machine learning have given businesses an unprecedented opportunity to increase its reach and scope. When, in the noughties, Jill Dyché and Evan Levy tried to explain in a book (Customer Data Integration: A Single Version of the Truth, 2006) what customer data integration was like, this phrase had been already criticised for being a repackaging of previous notions such as Service-Oriented Architecture (SOA), Extraction, Transformation and Loading (ETL) or plain old Business Intelligence. But the criticism missed the point that the frontier of data analytics keeps shifting. As the volume of customer interactions has surged over the past years, new processes and technologies have become available to retain and link customer data so that companies can engender trust in both prospects and customers and make better marketing decisions. However, at every turn, such technologies and processes, together with the jargon associated with them, have had a short lifespan or seemed insufficient to keep pace with the plethora of new data. Reaching a single customer view (SCV) has so far remained an elusive goal – chasing the proverbial unicorn – but at every turn the instruments available have become more sophisticated. A SCV’s definition usually includes words like ‘holistic’, ‘accurate’ or ‘consistent’ to indicate that any successful effort to join the dots between various channels have to bridge the offline and online divide, break down data siloes, and improve data quality. For instance, in retail, this could mean bringing together e-commerce transactions, in-store purchases, contact information, browsing behaviour on the company website, call center interaction and email engagement. In this case a SCV would be the foundation of campaigns that do not target prospects who are unlikely to buy or have just bought the product you offer – such personalisation failures cost credibility – while instead cross-selling or upselling to customers who might be near the end of a subscription, have recently interacted with the social media or haven’t made any purchase recently. The more integrated the view of the customer, the higher the return on marketing investment. But the multiple points of entry of customer data pose real challenges to existing ways and systems with which businesses have worked so far. Customer Relationship Management (CRM) software stores data from customers’ direct interactions and keep tracks of how far along they have moved into the sales funnel, but is limited to transactions and communications with the company, usually not capturing information from other multifarious sources, such as social media, the website or the company app. CRMs stitch together information across some channels, but not across all of them. They also lack the machine learning power to unify data that might belong to the same customer but presents some discrepancies, for instance a misspelled name or address. As a system used by the whole company, it is not particularly oriented to marketers need; for instance it does not provide further segmentation insights for personalisation. Data warehouses, which ingest data for every area of the business, similarly lack capacity for identity resolution and, while useful for spotting patterns and trends, do not provide insights that marketers can action directly. Both CRMs and data warehouses are company-wide tools that are not specifically focused on marketing improvements. Businesses also often still work with Data Management Platforms (DMPs), which are tools more oriented towards marketers needs and do provide segments that can be used for personalisation. However, a limitation of DMPs is that they are disproportionately reliant on third-party data and/or anonymous first-party data tags, such as cookies, device IDs or IP addresses. Since the storage and usage of personally identifiable information (PII) is strictly regulated, DMPs must anonymise any data that they aggregate in profiles. While DMPs can provide anonymised audience segments for specific campaigns, they do not provide the single customer view across all data points that some marketing actions call for. Marketing Cloud Platforms fall short in this respect as well. The likes of Salesforce, Adobe or Oracle Marketing Clouds can be effective in delivering a message to an identified audience on specific channels, but their segmentation ability often relies on demographics characteristics (i.e. female, >40, UK-based) rather than on the last up-to-date registered behaviour. Also, they often constrain marketers into using a single vendor. Last type of software that has entered the solution set to create a SCV are Customer Data Platforms (CDPs) offering a precision tool for marketers that can sit with these others and enhance them. Initially hard to differentiate from other platforms, since they were first introduced a few years ago CDPs have emerged as offering the closest approximation to a true Single Customer View that the industry has so far achieved. This is because it is a tool with one single purpose, precisely the SCV, and aimed at one single team, marketers. In comparison to the platforms above, CDPs ingest data in real-time, so are always up-to-date; they work primarily with first-party and PII data; they capture offline, online, and multi-channel data; and they use machine learning power to join the dots between customer data in different shapes (avoiding data duplication) and to churn out segments that can be activated in personalisation campaigns. CDPs often complement, rather than substitute, other tools. Their precise configuration in any company, unsurprisingly, varies according to the sector, the type of customer and the business goals. It is your decision what data you want to prioritise and which datasets you want to match. That’s why Teavaro has started offering CDP functionalities as part of our product suite. Activating data through Teavaro’s CDP makes the customer journey as smooth and exciting as possible. No matter where you look, all types of solutions pop up in the market promising the best in market solutions for creating SCVs and data activation across devices, browsers and channels. All these promises can only be fulfilled, if the CDP solution is based on or paired up with a strong solution for Identity resolution and Identity Management like Teavaro FunnelConnect. Not being able to digitally identify your customers and visitors across different touchpoints and channels will take away every benefit your CDP Solution has to offer. It’s as simple as that: You have to know who you are dealing with, otherwise you can’t tailor your data activation on a one-to-one basis. If you want to learn more about our Identity Solutions and how they can benefit your digital marketing activities, please reach out! We are happy elaborate on your use cases and how we can help you achieve your goals.