...

Consumer & FMCG

ITV

How we used AI to analyse viewer conversations

Viewer conversations hold untapped strategic value, especially when you have years’ worth of them. STRAT7 analysed 40,000 viewer conversations to inform future marketing initiatives for ITV, the UK’s longest-running commercial network.

Conversations

40,000

viewer mentions extracted from years of ITV Village feedback

Insights

5

clear strategic insights, from five topic areas after filtering

Partnership

5+ years

of STRAT7 Researchbods running ITV’s Insight Community

Client

ITV

Sector

Consumer & FMCG

Outcome

Five strategic insights from 40,000 dormant viewer conversations, now feeding campaign assessment

Meet the client

ITV has partnered with our sister agency, STRAT7 Researchbods, for over five years. Researchbods run ITV’s Insight Community, The ITV Village, where they conduct ongoing research with thousands of viewers.

ITV have been testing their own advertising via this Insight Community for several years. This means they have an account of viewers’ reactions to commercials going back years.

These comments were valuable, but were being looked at on a weekly or semi-campaign by campaign basis, without consideration of trends over time. Which begged the question: was there an opportunity hidden within the vast piles of unstructured data? The answer was undoubtedly yes.

Because each member of ITV’s community is deeply profiled, viewer information (such as demographic, viewing habits, etc) could be combined with insights from the unstructured data to help ITV understand how to appeal to different audience types.

ITV had one core question they wanted us to answer: how could we deliver more impactful commercials to get more people watching our shows?

Using strat7.ai, we extracted 40,000 mentions and rapidly created a searchable data dictionary of shows to search through the unstructured text.

Five insights from 40,000 viewer conversations
Music and soundtracksActing and talentCreating new impressionsTopic fourTopic five
Three of the five named on the original page; each profiled against shows and demographics
Younger viewers
HumourEngaging soundtracks
Older viewers
Previous viewing experienceActing talent
Topics combined with the community’s viewer profiles: age and viewing habits
Before 2021
suspensewell-suitedupbeat
Since early 2021
suspensewell-suitedupbeat
Words community members had not used about the campaigns before 2021
Direction only, from the original page; bar heights are illustrative
Comments signalling
AnticipationTrust
▲ considerable increase, in the service’s early days
Viewer reactions to the ITVX rollout, benchmarked against earlier conversation
Five topics viewers keep coming back to
After filtering, five high-level topic areas emerged from the 40,000 open-ended responses, including music and soundtracks, the quality of acting and talent, and creating new impressions. Each was profiled against ITV’s shows and audience demographics to spot how to position shows in future commercials.
Tap an insight
0viewer mentions extracted with strat7.ai
5+years of ITV Village community feedback
5topic areas after filtering
Fractionof the cost and time of traditional research

Challenge

Dormant data: an opportunity in waiting. Unlocking value from years of viewer conversations

ITV has partnered with our sister agency, STRAT7 Researchbods, for over five years. Researchbods run ITV’s Insight Community, The ITV Village, where they conduct ongoing research with thousands of viewers.

ITV have been testing their own advertising via this Insight Community for several years. This means they have an account of viewers’ reactions to commercials going back years.

These comments were valuable, but were being looked at on a weekly or semi-campaign by campaign basis, without consideration of trends over time. Which begged the question: was there an opportunity hidden within the vast piles of unstructured data? The answer was undoubtedly yes.

Because each member of ITV’s community is deeply profiled, viewer information (such as demographic, viewing habits, etc) could be combined with insights from the unstructured data to help ITV understand how to appeal to different audience types.

ITV had one core question they wanted us to answer: how could we deliver more impactful commercials to get more people watching our shows?

Approach

Finding order in chaos

Working closely with Researchbods, we extracted 40,000 mentions and created a searchable data dictionary of shows to search through the unstructured text.

The strat7.ai engine collects, analyses and visualises unstructured data quickly and efficiently. Careful pre-processing of the data, including sentence tokenisation and emotion detection, helped us focus on the most informative mentions.

We applied topic modelling to group together the different areas of conversation, as well as analyse the precise language used by viewers. We used the topics and shows combined with the viewer information to build a rich picture of what appeals to different types of audience.

Using this information, we created a data-driven evaluation of what shows generated more of a reaction from viewers, so ITV could focus their creative learnings on creating new campaigns using this rich seam of feedback.

We were also keen to understand how responses to the topic areas vary by age and viewing habits. Younger viewers, for example, are attracted to humour and engaging soundtracks while older viewers prefer to build on previous viewing experience and acting talent.

Impact

Five key insights

The strat7.ai engine enabled us to analyse 40,000 viewer conversations at a fraction of the cost and time of traditional research. Five clear strategic insights emerged.

  1. We uncovered five high level topic areas in the 40,000 open ended responses, after filtering. These areas included music and soundtracks, the quality of acting and talent, and creating new impressions. These topics were then profiled against ITV’s shows and audience demographics to spot opportunities on how to position shows in future commercials.
  2. We detected a clear shift in music and soundtracks since early 2021 (pictured below), which fit with ITV Creative’s strategic pivot in terms of the types of music in their commercials. They suspected the music was helping to increase cut through for their campaigns with viewers, which was expected, but now the data confirmed it.
  3. We identified the precise phrases that people used to describe trailers and the music being used, words like ‘suspense’, ‘well-suited’ and ‘upbeat’ which hadn’t been used by community members about the campaigns before 2021 . This helped the Creative Team focus on the specific choice of music which was generating a positive reaction.
  4. In an age where getting on to a viewer’s consideration list is essential, a strong first impression is key. This research identified a shift in attitudes around generating strong first impressions. The overall volume dropped over the lockdown period where ITV had a smaller pool of new content to draw, but saw signs of recovery as the world opened up again.
  5. A clear data picture helped us benchmark viewers’ reactions to the rollout of ITV’s new streaming service, ITV X. While the research was carried out in the early days of the service, the findings showed a considerable increase in comments signposting a sense of anticipation or trust.
ITV Music and soundtracks 768x411 1 1

Where next?

We’re a long way off letting ChatGPT write our ads, and the headline learnings from this project are being fed back into wider discussions internally about campaign assessment. However, this research was a useful proof of concept both for the application of AI, and for ensuring that ITV takes heed of the valuable lesson that sometimes the answer to a question can be found in existing datasets.

Turn your unstructured data into a competitive advantage

Your proprietary unstructured data is likely an untapped source of consumer insight. Deep exploration and analysis using strat7.ai could be a cost-effective route to a competitive advantage.

Your proprietary unstructured data is likely an untapped source of consumer insight. Deep exploration and analysis using strat7.ai could be a cost-effective route to a competitive advantage.

Discover how AI can uncover fresh insights from your existing data. Click here to find out more or speak to one of our consultants.

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