Strategic Insights for Audience Development
An agency partner of eContext wanted to help a client gain deeper, more meaningful audience insights to find common ground between the client’s product and its audience. The client, a popular CPG brand specializing in Home Improvement and DIY products, enjoyed a sizable market share, but wanted to explore opportunities for audience development.
The agency’s goal was to uncover strategic insights for a new marketing mission statement that focused on relevance, and apply those insights to inform the brand’s digital marketing initiatives. eContext worked with the agency to develop a contextual analysis of the Home Improvement/DIY landscape to identify opportunities.
The agency used the eContext API to enrich a wide variety of social and digital content into a structured hierarchy, providing a high-resolution view that the agency used to make its recommendations.
Topic Classification Reveals Audience Trends
eContext’s universal taxonomy played a pivotal role in addressing the complications of analyzing and interpreting fragmented data. eContext enrichments standardized contrasting data sources — publisher content, social posts, search queries — through text classification to a fixed and consistent category hierarchy, at scale. This empowered the agency to easily identify patterns across multiple channels, and provided the foundation needed to identify additional opportunities. Application of the eContext augmentations enabled the agency to distinguish unique interests, hobbies, and media preferences of target audiences with greater ease and clarity.
Methodology
1 Gathering Data
The agency’s insights and planning team sourced content relevant to the brand and its market through their social media listening platform and licensed content streams.
The team combined the social media audiences of the brand and top competitors, retrieving roughly 300,000 publicly available Tweets authored by followers of the brand and its competitors.
Another objective was to understand the content driving consumers to top publisher sites in the category. To achieve this, they identified the most highly trafficked 4,000 pages of content from four leading publishers in the Home Improvement and DIY space. Using eContext to extract relevant topics from the content provided a topical analysis of highly trafficked, engaging content that resonated with the target DIY audience.
2 Structuring the Data
The eContext API processed and classified 300,000 tweets and 4,000 pages of content in less than one hour to support the analyses.
Operational Highlights
Want to read a detailed description of the methodology? Read our full methodology paper - at www.econtex.com/relevance
3 Data Interpretation
Classification of high-traffic websites provided helpful insights on the topics that engaged the target audience. These insights supported the agency’s content development and distribution strategy, and shed light on contextual, sponsored, and native advertising opportunities for the agency’s media planning and buying teams.
Through the social analysis, the agency identified influencers, including people and organizations with strong follower numbers and regular posting habits with characteristics that aligned with the unique interests of the brand’s audience. The agency applied these insights with an influencer-targeting campaign on social media, and by cultivating brand-advocacy with these key people and organizations.
By defining the most distinctive interests of the brand’s target audience, the brand was able to develop a keyword campaign to target tailored lookalike audiences on social media.
Operational Highlights
eContext automates a process that’s usually done manually.
Interpreting high volume, high-velocity unstructured data by hand costs time and money. eContext classifies data from any source in real time.
Normalizes data in an extremely helpful, portable way.
hierarchy of topics, the agency was able to analyze and understand data at a macro level, comparing findings from multiple audiences and channels.
Backs insights with empirical data.
Instead of saying “this audience seems to enjoy hockey,” eContext extracts precise topics according to clearly defined vocabulary rules. This generates the kind of hard data that brands love, but have difficulty making actionable. eContext provides the foundational framework to quantify qualitative data to unearth latent insights.
eContext is the world’s largest text classification engine. In real-time, eContext can classify any text — social posts, search, site content, user messages — to any of its 450,000 topic categories. eContext also classifies video content. Check out our client testimonials on our website: www.econtext.ai/testimonials.