A/B Smartly vs Connected Papers

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A/B Smartly

Enterprise experimentation platform with a sequential testing engine event based pricing and flexible deployment so product teams run faster trustworthy A B tests share insights broadly and keep governance strong across web mobile and backend.

Pricing Contact sales
Category research
Difficulty Intermediate
Type SaaS
Status Active
Connected Papers

Connected Papers

Visual literature maps that reveal related work around a seed paper, helping researchers explore fields, spot clusters, and find influential prior art quickly.

Pricing Free / $6 per month
Category research
Difficulty Beginner
Type Web App
Status Active

Feature Tags Comparison

Only in A/B Smartly

experimentationab-testingstatisticsserver-sidewarehouse-nativegovernance

Shared

None

Only in Connected Papers

researchgraphscholardiscoveryliterature

Key Features

A/B Smartly

  • • Sequential testing engine: stop earlier without inflating error rates so winners ship faster and inconclusive tests end decisively saving time and traffic
  • • Warehouse native workflows: route events to your lake or house so analysts reuse metrics segments and joins with lineage and reproducibility across teams
  • • SDKs across stacks: integrate once into web mobile and backend so feature flags exposures and metrics remain consistent across platforms and services
  • • Source control friendly: treat experiments as code with reviewable configs CI checks and templates that prevent errors before traffic hits production
  • • Collaboration and notes: attach hypotheses screenshots and decisions to each test so outcomes are searchable and shareable in postmortems and planning
  • • Event based pricing: avoid per seat or per test limits grow programs with predictable unit economics and fewer internal license battles

Connected Papers

  • • Graph of related papers via co-citation analysis
  • • Cluster views to identify schools of thought and methods
  • • Filters for date influence and distance from seed
  • • Snapshots and exports for sharing reading lists
  • • Links out to publisher pages and repositories
  • • Free tier plus Academic and Business plans

Use Cases

A/B Smartly

  • → Feature rollout gates: validate impact behind flags then graduate safely once primary metrics clear with acceptable side effects across segments
  • → Checkout funnel fixes: trial copy layout and sequencing while monitoring revenue and refunds to avoid profitable but risky changes
  • → Search relevance tuning: compare ranking tweaks with guardrails for speed stability and engagement beyond a single click proxy
  • → Performance tradeoffs: measure latency shifts alongside conversion so teams understand when speed investments or regressions are acceptable
  • → Paywall and pricing tests: explore presentation and eligibility while keeping fairness guardrails and refund tracking visible to finance
  • → Notification systems: iterate cadence and targeting while measuring retention spam complaints and app store optics over weeks

Connected Papers

  • → Map a field around a seminal work in minutes
  • → Assemble a syllabus or lab reading plan by cluster
  • → Validate novelty and check for near-duplicate ideas
  • → Find bridges between subfields for new directions
  • → Identify review papers to onboard collaborators
  • → Export candidates to your reference manager

Perfect For

A/B Smartly

growth leaders, data scientists, product managers, experimentation engineers, analysts and SRE partners at companies with strong telemetry security and compliance expectations

Connected Papers

graduate students PIs applied scientists startup R&D and analysts who need fast field maps and curated reading paths

Capabilities

A/B Smartly

Sequential Statistics Professional
Warehouse and SDKs Professional
Policy and Audit Professional
Knowledge Sharing Intermediate

Connected Papers

Co-citation Graphs Professional
Recency & Influence Intermediate
Lists & Exports Basic
Academic & Business Intermediate

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