Your ads are running. Your product changed yesterday. Marketing was the last to know.
Instagram comments, TikTok, Reddit threads, Trustpilot, Google Reviews and Zendesk tickets, all in one cluster view. Blicc sorts product gripes, brand sentiment and support tickets into separate lanes, so marketing sees only what moves the brand and catches the moment a product change should change the ad.
German company · Hosted in the EUReads from the tools you already run
Every place your brand gets talked about, in one cluster view.
Six channels at launch. Instagram comments are the loudest, so we read them first. The rest fill in the picture.
Three things brand-sentiment dashboards quietly refuse to tell you.
You’re paying €120 CAC for a product with a bug your devs forgot to mention.
Ads keep running. Conversion drops. The algorithm sees the negative signals before you do, and your CPM goes up. By the time someone in #engineering mentions the broken checkout, you’ve burned a week of budget on traffic that bounced.
Your devs shipped 10 fixes this sprint. You didn’t know to email churned users about them.
A customer complains. A dev fixes it. The ticket closes. Marketing never gets the “we addressed your feedback” email out, and the win-back campaign that should have written itself never ships. Re-engagement is left on the table every sprint.
The perfect ad copy is in your last 500 reviews. You don’t have time to read 500.
The exact phrase that would make next week’s ad land was written by a customer on Trustpilot last Tuesday. Without a way to cluster the love and the hate, you brief from gut and pay the agency to interview people you already heard from.
Brand, product and support, separated on purpose.
Most listening tools drop everything in one bucket. Blicc classifies each signal into one of three lanes so marketing only sees what actually moves the brand, not the bug queue.
Brand sentiment
Tone, positioning, campaign reception. Owned by marketing. Drives brief revisions and creative calls.
Product gripes
Formulation, fit, packaging bugs. Owned by product. Surfaced to marketing only when a pattern becomes a brand story.
Support tickets
Individual cases, refunds, shipping. Owned by CX. Rolls up to marketing as benchmarks (response time, NPS), not noise.
Six clusters from real brand feedback. Click through them like it’s your own dashboard.
Clusters
6Five steps from noisy Instagram comments to a campaign-brief tweak, and proof it worked.
- 01
Hear: plug into every channel
Think Stripe, but for feedback. You connect once, and every brand mention flows in: Instagram comments, TikTok replies, Reddit threads, Trustpilot, Google Reviews, and Zendesk. No CSV exports, no weekly hand-offs from the social team.
- 02
See: brand, product, support split
Every signal sorts into three lanes. Only the brand lane lands on your weekly dashboard. Product gripes route to the product team, and support tickets stay with CX. No more wading through "the serum broke me out" to find the tone-shift backlash.
- 03
Understand: clusters with the quotes behind them
Tone-shift complaints, discontinued-SKU grief, campaign-imagery backlash: each shows up as a named cluster with the original quotes and a sentiment delta. You see what is actually driving the curve, in plain language a CMO can read in 30 seconds.
- 04
Act: two answers, every morning
Blicc drafts the work for you: a brief revision with a copy-diff, the ad to stop, the ad to launch, and a warm reply ready for every customer who left the complaint. You review in five minutes, and marketing ships before lunch.
- 05
Learn: did sentiment actually shift?
After the tweak goes live, Blicc tracks how sentiment moves on the affected cluster, broken down by customer cohort, not just in aggregate. You see whether the new creative landed, whose perception flipped, and which segments still need work. The pipeline gets sharper with every cycle.
We built the noise filter first. Everything else came after.
Brand-sentiment data is 90% noise by volume. Trolls, bots, brand-adjacent spam, and the same five Trustpilot rage-reviewers. Blicc ships with coordinated-behavior detection, language-model troll classifiers, and a per-org allow/deny list you can tune in minutes. The clusters you see are the ones you'd actually brief around.
The five questions every marketing lead asks first.
How do you separate brand from product complaints?
A two-stage classifier. Stage one tags the signal (brand / product / support) with a confidence score. Stage two runs a rule layer your team owns, so "the tagline sounds generic" never flips into the product queue, and "the serum broke out my skin" never ends up on the brand dashboard. Both tags are auditable per signal.
Troll and bot noise, how do you handle it?
Three filters stacked. Coordinated-behavior detection (same phrasing across unrelated accounts in a short window), an LLM classifier trained on adversarial review text, and a per-org allow/deny list. A weekly "flagged as noise" review lands in your inbox. You can overturn any call in one click, and the model learns your bar.
How is this different from Sprinklr or Brandwatch?
Sprinklr and Brandwatch are reporting tools. They show you the volume and the sentiment curve. Blicc is a decision tool. It clusters the "why", drafts the response, and hands marketing a brief revision with a copy-diff. It works at the opposite end of the workflow.
Can CX and marketing see the same clusters with different views?
Yes, that's the whole point. One cluster data model, two dashboards. CX sees per-cluster ticket counts, response times and the individual conversations. Marketing sees the sentiment delta, the quote carousel and the draft brief revision. Nothing is duplicated, and nothing gets lost in translation.
How fast is the alert when sentiment shifts on a live ad campaign?
Hourly polls on Instagram, TikTok, Reddit and Trustpilot. A cluster spiking >3× its 14-day baseline triggers an alert in your inbox or Slack within the hour, with the cluster name, sample quotes and a side-by-side of the ad creative attached. The shortest delivery we’ve measured is 47 minutes from comment to alert. Adjust the threshold per channel if your team is more or less twitchy.
Your CFO wants to know why CAC went up. We have the answer in 30 minutes.
30-minute intro. We connect your Instagram, cluster last month’s comments live, and leave you with the two answers your CFO needs: stop this ad, launch this one. No slide deck, no forms.