Social Media IntelligenceRetail & eCommerce

Understand what shoppers want
before the market moves

Track product demand, shopper sentiment, emerging trends and customer conversations across social and the open web — so retail teams can respond while demand is still moving.

Built for retail teams tracking demand while shoppers are still deciding.

  • Morgan Stanley
  • airbnb
  • Apple
  • Alibaba
  • Amazon
  • Toyota
  • Google
  • Microsoft
  • Infosys

Why it matters

The next product signal may already be
in the conversation

Lolly connects shopper conversations around products, categories, campaigns, creators and experiences to help retail teams spot changing demand before it fully shows up in reporting.

Demand

Identify products and attributes gaining attention.

Experience

Understand what shoppers praise, question or reject.

Campaigns

See how launches and creator activity change conversation.

Competition

Track how category narratives shift around competing brands.

How it works

Turn shopper conversations into
retail intelligence

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02
03
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Monitor products and campaigns

Track product names, collections, launches, campaigns and key retail moments as conversation develops.

Spot emerging shopper trends

Identify growing interests, product attributes and shopping themes that are gaining attention.

Understand category conversation

Compare your brand’s conversation with competitors and category themes to see where attention is moving.

Find sentiment drivers

Go beyond positive or negative scores to understand the product, service, price or experience factors behind shopper sentiment.

Track UGC and creator content

Identify customer and creator content across text and visual formats to understand how products are being represented.

Ask Ana+ New chatHistory
Which products are gaining attention this week?

Refill packaging is up 2.4× against the four-week baseline, led by TikTok reviews in skincare.

Delivery complaints rose after the weekend drop — 312 posts mention late orders.

Your two closest competitors gained share of voice on price, not product.

2.4× baseline312 posts4 weeks
Ask anything...
Meet Ana

Your AI analyst for retail signals

Ask Ana what shoppers are discussing, which products are gaining attention and where sentiment is changing.

  • Summarize demand signals by product or category
  • Explain what drives shopper sentiment
  • Compare category conversation with competitors
  • Surface UGC worth a closer look
  • Flag experience issues before they spread
Ask Ana

The workflow

From shopper signal to
retail action

01Monitor category and product conversationRanges, drops, pricing and delivery talk.
02Identify demand or experience signalsEarly interest, stock complaints, service friction.
03Compare against competitorsYour assortment against the rest of the category.
04Inspect source examplesReviews, posts and clips in their original form.
05Route findings to brand, merchandising, CX or marketing teamsWith the evidence attached.
Explore the workflow

Use cases

Retail decisions informed by
shopper conversation

Product launches

Track how shoppers respond to new products, claims, pricing and launches across public conversation.

See how Lolly adds value

Questions we get asked first

What is social intelligence for retail?

It is the use of social and digital conversations to understand shopper needs, product perception, category movement and brand performance.

Can social listening identify product trends?

It can surface growing conversations around products, features, use cases and category topics that teams can investigate as early signals.

How can retailers use UGC intelligence?

Teams can identify how customers and creators are showing, describing and reviewing products, providing context for content and merchandising decisions.

Can Lolly monitor competitors in retail?

Yes. Competitive conversation can be analyzed alongside brand and category signals to provide context for shopper attention.

Which retail teams benefit from social intelligence?

Brand, eCommerce, merchandising, insights, customer experience, marketing and category teams can use different views of the same conversation data.

Turn shopper signals
into faster decisions

See what shoppers are discussing, which products are gaining attention and where sentiment is changing across your category.

Book a demo now