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Social media data mining services that show what customers say Damco gathers posts and reviews, and sorts them by topic and sentiment

Brand mentions, OctoberIllustrated
Posts and reviews12,480 mentions
Top complaintLate delivery, 18%
Sent for review640 sarcastic or mixed
ReportWeekly, by topic

Social media data mining, from posts to findings Raw conversation turned into a dataset and a report you can act on

Mine posts and reviewsText, images, and video about your brand and competitors, from public channels.
Validate and enrich the dataDuplicates and spam removed, and each record tagged with topic and sentiment.
Design the social databaseTables and fields set up so your team can search and filter.
Summarize and reportWhat people say, how it's changing, and which posts need a reply.

How our social media data mining works Agents read the volume, and people judge tone the agents can't

  1. Week 1Agree the scopeWe list the brands, channels, topics, and languages to track.
  2. Each runCollect mentionsAgents gather public posts, comments, and reviews from approved channels.
  3. Each runTag topic and sentimentAgents tag each mention, and flag sarcasm and mixed tone.
  4. Each runDecide the hard onesA person reads every flagged mention and sets its tag.
  5. Each reportReportA named batch owner signs off the data and the summary.

When social media data mining services make sense And when a listening tool alone will do

A good fit when

  • Your listening tool tags sarcasm and slang wrongly
  • You need mentions across languages your team doesn't read
  • You want competitors' customers' complaints, not only your own

Look elsewhere when

  • You need someone to reply to customers on your behalf
  • A dashboard of mention counts already answers your question
  • You want private profiles or messages, which we don't collect

Social media data mining services in detail What each service covers, and who uses it

Social media data mining

Agents gather public posts, comments, reviews, and profiles about your brand, your competitors, and the topics you name. Each record keeps its channel, date, and link, so anyone can check it.

The data is organized and structured for verification and analysis before anyone reads a chart.

Social media data validation and enrichment

Social data is noisy. We remove duplicates, bots, spam, and unrelated mentions, then tag each record with topic, sentiment, product, and language.

Agents tag most records. A person decides the sarcastic, mixed, and slang-heavy ones, and each decision teaches the agents.

Social media database preparation and design

We set up the tables and fields around the questions your team asks, such as complaints by product or mentions by region. That makes the data easy to search, move, and share.

Social media summarization and reporting

Each report says what people talked about, how sentiment moved, and which posts deserve a reply. It's written for the marketing lead, not for an analyst.

What you can learn from social media data

Mined well, social data shows the complaints that never reach your support team, the features customers ask competitors for, and the influencers your buyers listen to.

We look for relations and patterns across posts, such as a spike in complaints after a price change, and show the posts behind each finding.

Industries we serve

Ecommerce brands use it to read reviews and compare competitors' products. Real estate and mortgage firms track what buyers say about neighborhoods and lenders. Market research teams use it for brand awareness, consumer profiles, and product feedback.

Questions about social media data mining What marketing teams ask us before they start

What is social media data mining?

It's gathering public posts, comments, and reviews and finding what they say about a brand, a product, or a topic. At Damco, agents gather and tag the mentions, and a person decides the ones whose tone is unclear.

Which channels can you mine?

Public posts and comments on the social networks, review sites, forums, and marketplaces you name. We collect only public content, within each platform's terms.

How accurate is the sentiment tagging?

Agents tag the clear cases, and a person reads every mention the agents flag as unsure, sarcastic, or mixed. We share the share of mentions a person changed with every report, so you can see how the tagging holds up.

Do you collect personal data?

We collect public content and agree with you which fields to keep. Profile details beyond a public handle are dropped unless you have a reason to keep them and the platform allows it.

How is it priced?

We price per mention collected and tagged, or per report for an ongoing study.

Tell us which conversations you want to read

Name the brands, channels, and languages. We'll reply with how we'd mine them and the price per mention.

We reply within one business day.