Listening scope and query design
We define queries for brands, competitors, products, campaigns and industry topics. We identify accessible sources, languages and date ranges and exclude irrelevant matches.
Hear the conversation. Understand why. Turn it into a decision.
We connect social media, news, reviews and customer feedback to your business questions, producing actionable insights for brand perception, competition and operations.
More data alone does not mean better decisions. The same content can recur across channels; a campaign can change daily conversation volume; irony can mislead automated sentiment analysis. We establish an analysis framework that keeps source coverage, classification methods and interpretation limits visible.
We define queries for brands, competitors, products, campaigns and industry topics. We identify accessible sources, languages and date ranges and exclude irrelevant matches.
We group content into meaningful topics and assess positive, negative and neutral trends in context. We use human review for critical examples.
We compare competitors within the same source and time scope. We explain calculations such as share of voice and reflect changes in data coverage in the report.
We identify recurring themes about products, delivery, support and after-sales experience. We turn feedback into problem topics the relevant teams can assess.
We define thresholds for unusual changes in topic volume or sentiment distribution. Alerts are sent into the review flow with their sources and context.
We link authorised CRM, support and business data to the analysis. We prepare executive summaries, period reports or dashboards appropriate to the project scope.
The deliverables below that are included in your project are specified in the written proposal, with quantities, formats, delivery dates and acceptance conditions. Licences, hosting and maintenance are shown separately if not included.
A record of sources, concepts and exclusion rules included in the analysis.
Supporting examples, trends and recommendations for the relevant business unit.
Indicator formulas, comparison intervals and interpretation limits.
Topics requiring research or improvement with proposed responsibilities.
We determine which decision the analysis will support and its audience.
We check access, queries, cleaning and sampling.
We interpret topic, sentiment and period changes with examples.
We assess findings with management and operations teams and clarify follow-up topics.
Example use cases for which we can define the scope together.
Understanding reactions to a launch and expectations expressed by customers.
Identifying product or operational patterns from review and support data.
Comparing how brands are discussed and their topic distribution within the same data scope.
We define the starting position and goals together. The indicators below are selected according to the nature of the work.
Source coverage, licence costs and the data retention approach are defined initially. Measurements represent the accessible dataset; they are not interpreted as the views of the entire customer base.
No. Platform access, API conditions, licences and privacy restrictions define the scope. We clearly state source coverage in reports; we do not promise access to private messages or unauthorised data.
Irony, language and context can affect automated classification. We use sample checks and human assessment where needed; results are not presented as definitive judgements on their own.
The same time interval, source set, query approach and measurement definitions are used. Where coverage differs, comparison limits are explained in the report.
Data Analytics & Social Listening
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