@riya.kTue · 9:12 PM
Third Aurora X2 charger this year. Support keeps closing my ticket.
See what people are saying about you, about what, and in what tone, right now.
Mentions · Reach · Interactions · Sentiment, analysed in one place
Mentions
48,214
Engagement
1.92M
Reach
12.4M
Posts
9,861
Sentiment
62/100
Mentions this week
Seven widgets, from the headline numbers down to the posts behind them. Everything below is clickable sample data.
Five headline numbers for the period you choose, each compared with the period before.
What it tells you: whether the conversation is growing, and getting warmer or colder.whether the conversation about you is growing, and whether it is getting warmer or colder.
Tap a card to scope the whole page to that metric.Click a card to scope the whole page to that metric.
* Reach is an estimate based on audience size and observed amplification.
Mentions
48,214
Engagement
1.92M
Reach
12.4M
Posts
9,861
Sentiment score
62/100
Page scoped to:All metrics
How much people talked about you over time, with a line showing how they felt.
What it tells you: when a spike happened and whether it was good news or bad.
Click a point to filter the posts below to that interval.
Posts below · all of this period
Spike on Tue · mostly negative
The subjects people talk about most when they mention you, ranked, with how they feel about each.
What it tells you: which themes carry the conversation, and which ones are hurting you.
Select a topic to filter the whole page.
Topics are picked out of the posts themselves, so new themes appear without any setup.
Page filtered to: All topics
How the conversation splits across your top topics.
What it tells you: what your audience actually talks about, and where the engagement really happens.
Click a topic to see only its posts.
| Topic | Mentions | Engagement | Share |
|---|---|---|---|
| Aurora X2 launch | 29,890 | 1.11M | 62% |
| Night photography | 8,680 | 173K | 18% |
| Battery & charging | 6,270 | 269K | 13% |
| Price & offers | 3,374 | 365K | 7% |
62% of mentions come from one topic
How many mentions are positive, neutral or negative, overall or topic by topic.
What it tells you: the overall mood in one number, and where it is weakest.
Switch between Count and Percentage, or view it by topic.
Net sentiment
▲ +36
positive overall
▲ positive · – neutral · ▼ negative (hatched)
Every post behind the numbers, from across social media, in one feed.
What it tells you: exactly what people said, who said it and how far it travelled.
Open the original post, or export the list to Excel.
@riya.k · Tue 9:12 PM
NegativeThird Aurora X2 charger this year. Support keeps closing my ticket without a fix.
@meera.v · Mon 6:40 PM
PositiveX2 night mode review: shot an entire city walk with no tripod.
@technest · Mon 11:05 AM
NeutralAurora confirms a new flagship store in Pune opening this weekend.
The tags attached to your conversation, ranked by use, with how fast each is growing.
What it tells you: which tags to join, and which ones signal trouble.
Click a hashtag to see the posts that use it.
* Reach is an estimate based on audience size and observed amplification.
| Hashtag | Usage | Reach | Growth | Mood |
|---|---|---|---|---|
| #AuroraX2Launch | 4,820 | 3.4M | ▲ 22% | Positive |
| #ShotOnX2 | 3,110 | 2.1M | ▲ 64% | Positive |
| #ChargerFail | 2,460 | 1.2M | ▲ 184% | Negative |
| #FestiveDeals | 1,980 | 0.9M | ▲ 12% | Neutral |
| #AuroraNights | 1,240 | 0.8M | ▲ 41% | Positive |
Hashtag cloud
Growing fastest ≠ used most
One filter bar at the top of the page. Try it: change anything below.
Change a filter and every widget updates together.
Swipe for more filters
Change a filter and every widget updates together.
Showing: last 30 days · all topics · all sentiment
Name a filter combination and make it your default landing state.
Choose a brand, product, person or keyword.
See at a glance what moved and when.
Then export them, or schedule a report to arrive on its own.
See sudden spikes and tone shifts before they become headlines.
Which topics and hashtags carry the conversation.
Every number traces back to real posts.
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