# ada (@ada_cx) on x

- id: koinon:creator:x_ada_cx
- url: https://koinonlink.com/kol/x/ada_cx
- schema_version: 1.4

## Identity
- platform: x
- handle: ada_cx
- platform_url: https://twitter.com/ada_cx
- website: https://www.ada.cx/
- country: Canada
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 1943
- following: 709
- posts_total: 1851
- posts_observed: 155
- posts_per_day: 0.499
- account_age_days: 3713
- verified: false
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00257
- best_post_interactions: 5
- measurement_source: x_post_interactions
- measurement_formula: interactions on one post — likes, or likes + reposts + replies depending on the discovery path (the two are not distinguishable in the stored data)
- comparable_pool: peak_interactions
- status_note: We have only the single best observed post, so no mean exists. peak_post_engagement_rate is an UPPER BOUND, systematically higher than an average — never compare it against an average rate.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: software
- subcategory: ai_tools
- category_confidence: 0.85
- category_source: derived_from_recent_content
- topics: AI agents for customer experience, Live platform demos and workflows, Multi-channel support (Instagram DMs), Sales teams selling with AI, Company events and office openings
- bio: With more than 550 AI agents deployed globally, Ada is the trusted leader in agentic customer experience.

## Audience (inferred)
- status: present
- description: CX and customer support teams at mid-to-large companies evaluating AI agents for real customer interactions
- roles: cx
- seniority: practitioner
- pain_points: Managing live customer disruptions without seamless AI-to-human handoff, Deploying AI agents that handle both text and images across channels like Instagram, Getting sales teams to actually use AI in conversations rather than just pitch it, Running reliable multi-step workflows for issues like flight cancellations
- posts_analysed: 4
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.9
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 53
- authenticity_basis: engagement_observed
- credibility_score: 53
- flagged_for_review: false
- koinon_bd_grade: B — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [x_ada_cx#7dd0f74b] Most SDRs are told to sell AI. Ours sell with it. We're opening our Toronto office on Aug 5, 5–7 p.m. ET, so you can meet the team, ask hard questions, and see if the SDR role is a fit before you apply. Space is limited — register: https://t.co/RamUEUd5dB (https://twitter.com/ada_cx)
- [x_ada_cx#66b7fbce] When a flight is cancelled, AI that answers and AI that acts look very different. On August 12, watch a disruption workflow run live in the Ada platform: fare rules applied, eligibility validated, rebooking confirmed, end-to-end. Plus the model behind Cebu Pacific's 50%+ CSAT lif
- [x_ada_cx#49ac1990] Ada is now on Instagram. Ada-powered AI agents answer DMs natively: text and images both ways, human handoff end to end. Connect self-serve from the dashboard and your agent is live. Your customers are already in your Instagram DMs. Now your AI agent is too. https://t.co/P3gGRfGA
- [x_ada_cx#993411ec] ICYMI: Take a closer look at Ada

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.4, freshness_days=67, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=67, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=67, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=80, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=80, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=108, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.5, freshness_days=80, method=Profile-shape heuristic from a single snapshot (follower count, following ratio, account age, posting volume, verification), reduced for engagement red flags where post engagement was collected. Where only a follower count is available the score saturates at 58. — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=108, method=llm_partner_fit_classifier + fit_score >= 0.6 AND authenticity >= 60 => A; fit_score >= 0.4 AND authenticity >= 45 => B; else C. authenticity < 30 or a promotional-pattern flag => quarantine. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=108, method=platform_profile

## Freshness
- profile_checked_days_ago: 108
- content_analysed_days_ago: 80
- audience_updated_days_ago: 67

## AI retrieval
- indexing_requests: 9
- user_triggered_requests: 0
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=x_ada_cx
- Request removal: https://koinonlink.com/claim?k=x_ada_cx
- Terms: https://koinonlink.com/for-ai