ConfiguredResearch

Social Commerce Review Intelligence

Turn reviews from approved social-commerce products into privacy-minimized rating, theme, variant, purchase-label, and customer-evidence records.

No access or payment before scope confirmation

Your input

Tell us what to run. We handle the operating structure.

You do not need to prepare technical configuration. Provide the business requirements, examples, and approved access; we translate them into fields, rules, and a tested schedule.

What you provide

Approved product URLs and product grouping
Maximum reviews per product and source region
Required rating, text, variant, purchase-label, date, and theme fields
Reviewer-field exclusions and review-media decision
Theme taxonomy, sample threshold, frequency, retention, delivery, and named reviewers

How you provide it

Setup form
Product URL spreadsheet
Product and variant taxonomy
Review-analysis brief
Example evidence table or API schema
Written privacy, retention, and review rules

The result

What this workflow delivers.

A source-linked voice-of-customer dataset that teams and approved AI agents can retrieve, summarize, compare, and route into product, merchandising, quality, and research review.

Best for: E-commerce, marketplace, product, quality, merchandising, brand, sourcing, and customer-insight teams reviewing approved social-commerce products.

Sources

Approved public social-commerce product URLs
Public product-review pages and displayed review totals
Customer-supplied product groups, variants, regions, languages, and date windows

Output fields

Product URL, product identifier, region, review identifier, rating, text, and observed date
Variant or SKU label, displayed purchase-status and incentivized-review labels when available
Privacy-minimized country and review-media presence when approved
Normalized themes, sentiment state, issue category, source timestamp, and review state
Explicit missing, duplicate, unavailable, partial, translated, or review-required status

Delivery options

CSV download
JSON download
Airtable base or table
Google Sheets
Review evidence table
Database or warehouse-ready records
Scoped API endpoint
Webhook-ready update feed

Operating scope

Quoted by products, reviews, regions, fields, frequency, history, and review requirements
One-time, weekly, or monthly
Public sources

AI-ready delivery

Structured data your team and agents can rely on.

Receive normalized records directly or let an approved agent retrieve them through a scoped interface. Source evidence, transformations, timestamps, and exception states remain available for review.

Use it directly

CSV and JSON exports
Airtable or spreadsheet delivery
Database and warehouse-ready records
Customer-controlled backups

Connect approved agents

Scoped API or webhook access
Filter and retrieve defined records
Summarize, compare, classify, and cite
Route exceptions to a human owner

Keep control

Customer-owned resulting dataset
Raw and normalized values remain distinct
Model, API, hosting, and storage costs are scoped
No autonomous consequential authority

Configurable service

One workflow, configured around the decisions your team owns.

The modules describe business capabilities, not separate tools to operate. Select the coverage, filters, review rules, schedule, and destination during setup.

Available modules

Product review collection
Privacy-minimized evidence structuring
Variant and rating analysis
Theme and sentiment normalization
AI-ready retrieval
Exception and sample review

Business questions supported

What praise and complaint themes recur by product and variant?
Which newly observed reviews or rating states require attention?
Which evidence is low-sample, conflicting, translated, missing, or review-required?
What can an approved AI agent retrieve and summarize without acting autonomously?

Worked example

See what goes in and what comes back.

Examples show the delivery structure before setup. Names and values are illustrative, not client records or performance claims.

Example input

{
  "products": [
    {
      "label": "Synthetic Skin Tool",
      "url": "https://www.example-social-shop.test/product/synthetic-101"
    }
  ],
  "max_reviews": 100,
  "region": "US",
  "exclude_reviewer_identity": true,
  "themes": [
    "quality",
    "fit",
    "delivery",
    "value"
  ],
  "delivery": [
    "Airtable",
    "Scoped API"
  ]
}

Example delivery

Illustrative record

{
  "product": "Synthetic Skin Tool",
  "rating_raw": 4,
  "review_text": "Works well, but the packaging arrived damaged.",
  "variant_raw": "Default",
  "purchase_label_raw": "Verified purchase",
  "themes_calculated": [
    "Product positive",
    "Packaging issue"
  ],
  "collected_at": "2026-08-19T09:00:00Z",
  "review_status": "human_review",
  "example_status": "synthetic"
}

Installation path

From source approval to scheduled operation.

The first representative run is reviewed before the workflow becomes a recurring operation.

Confirm approved products, regions, review limits, fields, business questions, and prohibited uses

Run a sample and inspect coverage, variants, purchase labels, text, dates, media, and missing states

Agree privacy minimization, theme taxonomy, deduplication, sample thresholds, retention, and delivery

Collect approved public review observations within documented boundaries

Keep raw review evidence separate from normalized themes and AI-assisted classifications

Deliver complete, partial, duplicate, unavailable, translated, and review-required states separately

Managed history

Each run adds to a useful operating history.

Recurring runs append timestamped review observations, rating states, themes, variants, and availability without silently replacing previous evidence.

Retention and portability

The resulting dataset belongs to the customer. Delivery supports CSV, JSON, Airtable, databases, warehouses, webhooks, and scoped APIs. Reviewer identity and media are excluded by default; backup, deletion, portability, and exit exports are agreed during setup.

What the accumulated history can support

Let an approved AI agent retrieve reviews by product, rating, theme, variant, region, or date
Summarize recurring praise, complaints, quality signals, and product questions with source links
Compare products while retaining review-volume and recency differences
Route low-sample, conflicting, severe, or ambiguous themes to human review
Ground product briefs in raw review text, source labels, and collection timestamps

Interpretation limits

History makes comparison possible, but it does not remove source limitations or turn signals into guaranteed business outcomes.

Public review coverage varies by product, region, source ranking, and collection time

Review text, dates, variants, labels, totals, and availability can be missing or source-controlled

A purchase label does not independently establish authenticity or product quality

Sentiment and theme classification can misread sarcasm, translation, mixed views, and context

Comparisons can be distorted by review volume, recency, product maturity, incentives, and selection bias

Pages may be blocked, unavailable, rate-limited, changed, or removed

Safeguards

Automation stays inside agreed boundaries.

Access, retention, exports, and operating controls are confirmed for this workflow before launch.

Approved public product-review sources and documented product-research purpose only

No passwords, cookies, tokens, MFA codes, or session exports requested

Reviewer names, profile URLs, avatars, and images are excluded by default

No reviewer identification, contact enrichment, outreach, profiling, or sensitive-trait inference

Displayed purchase and incentivized labels remain source claims, not independent verification

No autonomous product removal, seller enforcement, refund, pricing, or sourcing decision

No platform affiliation, complete-review, authenticity, accuracy, or freshness guarantee

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Start setup

Configure Social Commerce Review Intelligence.

Share the sources, rules, and destination. We’ll verify access and confirm the final setup and monthly operating scope.

Setup$600

ManagedQuoted by product and review volume

Normally liveConfirmed after sample

Social Commerce Review Intelligence

Tell us what to run. We handle the operating structure.

What you provide

How you provide it

What this workflow delivers.

Sources

Output fields

Delivery options

Operating scope

Structured data your team and agents can rely on.

Use it directly

Connect approved agents

Keep control

One workflow, configured around the decisions your team owns.

Available modules

Business questions supported

See what goes in and what comes back.

From source approval to scheduled operation.

Each run adds to a useful operating history.

What the accumulated history can support

Automation stays inside agreed boundaries.

Continue through the catalogue.

Competitive Price & Assortment Intelligence

Supplier Quote Normalizer

Portal Report Collector

Configure Social Commerce Review Intelligence.

Configure the workflow.