“Helping brands and agencies succeed by putting the customer first.” That’s the promise that the Tesco Media & Insight Platform was founded on, and it’s one that sits proudly on our homepage. What does that mean in practice, though? And – perhaps more importantly – how exactly is that promise made possible?
To answer those questions, we need to talk about the subject of customer data science; it’s for good reason that “insight” has equal billing alongside “media” in the name of our platform. Much as it might offer unrivalled levels of reach and scale, after all, that would mean very little if the platform didn’t also give brands and agencies the ability to find and engage with customers in a focused and targeted way.
At the same time, those two subjects – scale and insight – are heavily linked. Reaching the “right” audiences also means identifying which customers are the most relevant, not just in terms of your brand and products, but your objectives, too. Scale is important in that respect, because the larger the audience you have at your disposal, the more likely it is that you can find the distinct groups you need.
It's here that the Tesco Clubcard comes into play. Providing insight into more than 20 million customers from across the UK, the Clubcard serves as the country’s largest, most diverse, and most socio-economically representative first-party behavioural dataset. In short, if you want to know how Britain shops for its groceries today – and learn how to shape what Britain buys tomorrow – then Clubcard data is a very good place to start.
Naturally, it is that dataset that also underpins the Tesco Media & Insight Platform. When combined with the world-leading data science provided by dunnhumby, Clubcard data gives brands and media agencies the opportunity to answer six key questions about shoppers:
The answers to these questions help to paint a detailed picture of every shopper – all anonymously, of course. And with that done, it then becomes possible to segment customers into different groups based on shared attributes and characteristics.
Better targeting, better results
Segmentation is critically important to media planning, particularly when it comes to return on advertising spend (ROAS) and other key metrics.
Say that you want to create a sales-focused campaign, for instance. Without knowing specifically which shoppers you want to engage with, you’d be limited either to spreading your budget over a very large audience, or taking some educated guesses and hoping for the best. Segmentations help you focus your spend around those customers most likely to get you the results you want.
The diagram below helps to bring this to life. In this example, the brand in question is a pharmaceutical company that has a cough medicine within its portfolio of products.
The different rings on the target represent some potential – albeit broad – segmentations:
Clearly, the appeal of these different groups is likely to change significantly based on the advertiser’s objective.
Say that pharma company was launching a new cough medicine into the market, for instance; the Mass Reach audience might be a good place to start – though In Category would arguably introduce the product to a greater number of relevant shoppers. In the midst of flu season, on the other hand, with sales being the main focus, the Bullseye audience would almost certainly drive better results.
Regardless of what the ultimate goal is, segmentations can help brands and agencies be more focused when it comes to their media budget. Importantly, that goes far beyond things like purchasing habits, lifestyle, and affluence – with the Tesco Media & Insight Platform providing a way to meet even the most specific objectives.
The right audience for the right need
As well as the segmentations outlined above, the insights provided via the Tesco Clubcard also make it possible to create highly targeted, outcome-focused audiences.
Let’s switch back to the example above. What if the pharma brand wasn’t launching a new product or running a seasonal sales campaign, but instead wanted to create upsell opportunities, grow its presence in a category, or bring back lapsed shoppers? The science that sits behind the Tesco Media & Insight Platform makes that entirely possible through what we call “behavioural” and “predictive” audiences.
These audiences are designed to identify very specific groups of customers that align perfectly with objectives like those above. Under the behavioural banner, for instance, we have:
Over on the predictive side, on the other hand, are the likes of:
The power of these audiences is that they give brands and agencies the ability to be incredibly controlled with their media spend. Rather than reaching out to customers who might only “look” right, the science that drives the Tesco Media & Insight Platform makes it possible to find customers whose behaviours truly align with an objective. It’s the perfect combination of huge scale and exact focus.
Ultimately, what that makes for is less wastage and better results. And, perhaps – most importantly of all – it helps to create a better experience for shoppers too, ensuring that the ads they see are truly relevant to them.
Find out how the Tesco Media & Insight Platform can help you Shape What Britain Buys. Get in touch now.
Cookie | Description |
---|---|
cli_user_preference | The cookie is set by the GDPR Cookie Consent plugin and is used to store the yes/no selection the consent given for cookie usage. It does not store any personal data. |
cookielawinfo-checkbox-advertisement | Set by the GDPR Cookie Consent plugin, this cookie is used to record the user consent for the cookies in the "Advertisement" category . |
cookielawinfo-checkbox-analytics | Set by the GDPR Cookie Consent plugin, this cookie is used to record the user consent for the cookies in the "Analytics" category . |
cookielawinfo-checkbox-necessary | This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary". |
CookieLawInfoConsent | The cookie is set by the GDPR Cookie Consent plugin and is used to store the summary of the consent given for cookie usage. It does not store any personal data. |
viewed_cookie_policy | The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data. |
wsaffinity | Set by the dunnhumby website, that allows all subsequent traffic and requests from an initial client session to be passed to the same server in the pool. Session affinity is also referred to as session persistence, server affinity, server persistence, or server sticky. |
Cookie | Description |
---|---|
passster | Set by Passster to remember that a visitor has entered a correct password, so they don’t have to re-enter it across protected pages. |
wordpress_test_cookie | WordPress cookie to read if cookies can be placed, and lasts for the session. |
wp_lang | This cookie is used to remember the language chosen by the user while browsing. |
Cookie | Description |
---|---|
fs_cid | Set by FullStory to correlate sessions for diagnostics and session consistency; not always set. |
fs_lua | Set by FullStory to record the time of the user’s last activity, helping manage session timeouts. |
fs_session | Set by FullStory to manage session flow and recording. Not always visible or applicable across all implementations. |
fs_uid | Set by FullStory to uniquely identify a user’s browser. Used for session replay and user analytics. Does not contain personal data directly. |
VISITOR_INFO1_LIVE | Set by YouTube to estimate user bandwidth and improve video quality by adjusting playback speed. |
VISITOR_PRIVACY_METADATA | Set by YouTube to store privacy preferences and metadata related to user consent and settings. |
vuid | Vimeo installs this cookie to collect tracking information by setting a unique ID to embed videos to the website. |
YSC | Set by YouTube to track user sessions and maintain video playback state during a browser session. |
_ga | The _ga cookie, installed by Google Analytics, calculates visitor, session and campaign data and also keeps track of site usage for the site's analytics report. The cookie stores information anonymously and assigns a randomly generated number to recognise unique visitors. |
_ga_* | Set by Google Analytics to persist session state. |
_gid | Installed by Google Analytics, _gid cookie stores information on how visitors use a website, while also creating an analytics report of the website's performance. Some of the data that are collected include the number of visitors, their source, and the pages they visit anonymously. |
_lfa | This cookie is set by the provider Leadfeeder to identify the IP address of devices visiting the website, in order to retarget multiple users routing from the same IP address. |
__Secure-ROLLOUT_TOKEN | YouTube sets this cookie via embedded videos to manage feature rollouts. |
Cookie | Description |
---|---|
aam_uuid | Set by LinkedIn, for ID sync for Adobe Audience Manager. |
AEC | Set by Google, ‘AEC’ cookies ensure that requests within a browsing session are made by the user, and not by other sites. These cookies prevent malicious sites from acting on behalf of a user without that user’s knowledge. |
AMCVS_14215E3D5995C57C0A495C55%40AdobeOrg | Set by LinkedIn, indicates the start of a session for Adobe Experience Cloud. |
AMCV_14215E3D5995C57C0A495C55%40AdobeOrg | Set by LinkedIn, Unique Identifier for Adobe Experience Cloud. |
AnalyticsSyncHistory | Set by LinkedIn, used to store information about the time a sync with the lms_analytics cookie took place for users in the Designated Countries (which LinkedIn determines as European Union (EU), European Economic Area (EEA), and Switzerland). |
bcookie | LinkedIn sets this cookie from LinkedIn share buttons and ad tags to recognise browser ID. |
bscookie | LinkedIn sets this cookie to store performed actions on the website. |
DV | Set by Google, used for the purpose of targeted advertising, to collect information about how visitors use our site. |
gpv_pn | Set by LinkedIn, used to retain and fetch previous page visited in Adobe Analytics. |
lang | Session-based cookie, set by LinkedIn, used to set default locale/language. |
lidc | Set by LinkedIn, used for routing from Share buttons and ad tags. |
lidc | LinkedIn sets the lidc cookie to facilitate data center selection. |
li_gc | Set by LinkedIn to store consent of guests regarding the use of cookies for non-essential purposes. |
li_sugr | Set by LinkedIn, used to make a probabilistic match of a user's identity outside the Designated Countries (which LinkedIn determines as European Union (EU), European Economic Area (EEA), and Switzerland). |
lms_analytics | Set by LinkedIn to identify LinkedIn Members in the Designated Countries (which LinkedIn determines as European Union (EU), European Economic Area (EEA), and Switzerland) for analytics. |
lpv[AccountID] | This cookie is set by Salesforce Marketing Cloud Account Engagement. Prevents counting multiple page views within a short window to avoid duplicate tracking. |
NID | Set by Google, registers a unique ID that identifies a returning user’s device. The ID is used for targeted ads. |
OGP / OGPC | Set by Google, cookie enables the functionality of Google Maps. |
OTZ | Set by Google, used to support Google’s advertising services. This cookie is used by Google Analytics to provide an analysis of website visitors in aggregate. |
s_cc | Set by LinkedIn, used to determine if cookies are enabled for Adobe Analytics. |
s_ips | Set by LinkedIn, tracks percent of page viewed. |
s_plt | Set by LinkedIn, this cookie tracks the time that the previous page took to load. |
s_pltp | Set by LinkedIn, this cookie provides page name value (URL) for use by Adobe Analytics. |
s_ppv | Set by LinkedIn, used by Adobe Analytics to retain and fetch what percentage of a page was viewed. |
s_sq | Set by LinkedIn, used to store information about the previous link that was clicked on by the user by Adobe Analytics. |
s_tp | Set by LinkedIn, this cookie measures a visitor’s scroll activity to see how much of a page they view before moving on to another page. |
s_tslv | Set by LinkedIn, used to retain and fetch time since last visit in Adobe Analytics. |
test_cookie | Set by doubleclick.net (part of Google), the purpose of the cookie is to determine if the users' browser supports cookies. |
U | Set by LinkedIn, Browser Identifier for users outside the Designated Countries (which LinkedIn determines as European Union (EU), European Economic Area (EEA), and Switzerland). |
UserMatchHistory | LinkedIn sets this cookie for LinkedIn Ads ID syncing. |
UserMatchHistory | This cookie is used by LinkedIn Ads to help dunnhumby measure advertising performance. More information can be found in their cookie policy. |
visitor_id[AccountID] | This cookie is set by Salesforce Marketing Cloud Account Engagement. Unique visitor identifier used to recognize returning visitors and track their behavior. |
visitor_id[AccountID]-hash | This cookie is set by Salesforce Marketing Cloud Account Engagement. Secure hash of the visitor ID to validate the visitor and prevent tampering. |
yt-remote-connected-devices | YouTube sets this cookie to store the video preferences of the user using embedded YouTube video. |
_gcl_au | Set by Google Tag Manager to store and track conversion events. It is typically associated with Google Ads, but may be set even if no active ad campaigns are running, especially when GTM is configured with default settings. The cookie helps measure the effectiveness of ad clicks in relation to site actions. |