Panel and survey platform · China Verified 2026-10-12

WeJot vs Credamo

Credamo’s quality controls are finer than most, with a solid reputation in academic research. Two billing traits shape the real budget: targeting is charged per audience dimension, and audience targeting sits behind a paid membership.

Fieldwork billing Membership gates Quality control AI interviews

The 30-second verdict

Credamo’s strength is granularity: every quality control switches on individually and is priced separately, which suits the tightly separated conditions common in academic work. WeJot makes the opposite trade: quality control runs as one default set, pricing is linear and itemised, and every targeting label is available on a free account. On the same 19-question study with women 50+ and 100 completes, the real cost was RMB 563 against RMB 260.

  • Billing: Credamo charges a targeting fee per audience dimension (RMB 150 for two dimensions across 100 completes here); WeJot charges RMB 0.8 per item.
  • Membership: features in the fieldwork panel unlock by tier. Targeting, feature quota, liveness and screen recording need advanced (RMB 298 monthly); prior participation, credit score, acceptance rate and identity verification need the entry tier; scheduled release, full-screen answering, company logo and ad removal need the enterprise tier. WeJot does not tier capabilities: apart from identity and liveness checks, billed per call, everything is available directly.
  • Total: same 19-question study, women 50+, 100 completes. Credamo lands at RMB 265 plus 298, so RMB 563 at the lowest monthly tier; WeJot is RMB 260.
  • Quality control: Credamo’s switches are finer and priced individually (mostly RMB 0.2 per complete, RMB 0.5 for liveness), so the quality-versus-cost trade-off can be tuned precisely.
  • Qualitative: Credamo has no AI interview product; its AI sits in question generation, analysis and an in-question chatbot. WeJot interviews share the sample and report with the survey.

Why this comparison exists

Credamo is built around a data marketplace: panel members enter the market and can be targeted by label, or you can run an anonymous study or collect through your own channels. Its quality switches are among the most granular in China, covering prior participation, credit score, historical acceptance rate, exclusion of specific surveys, device limits, identity verification and liveness detection.

The price stacks the same way: targeting costs a fee per audience dimension, each quality control is charged separately, and liveness sits a tier higher. Researchers can therefore find a precise balance between quality and cost. That is both the value and the complexity.

One precondition deserves emphasis: audience targeting is an advanced-tier entitlement, so the membership is paid before the capability can be used at all. A single study cannot amortise it.

Where the two differ

1

Membership: pay before you can start

Credamo

Credamo has four tiers: free trial, entry at RMB 248 per year, advanced at RMB 298 per month (RMB 1,398 yearly) and enterprise at RMB 3,498 per year. Options in the release panel carry a tier tag: prior participation, credit score, acceptance rate and identity verification are marked entry; targeting (up to three criteria), feature quota, liveness and screen recording are marked advanced; scheduled release, geo-fencing, full-screen answering, auto-translation blocking, session audio and video recording, company logo, ad removal, custom end page and instant response alerts are marked enterprise.

WeJot

WeJot does not tier capabilities. Every targeting label, quota setting and quality control is available directly, and the whole cost sits in the study. For teams running one or two projects, that matters more than unit price.

Source:Tiers and entitlements from the Credamo membership page, checked 2026-09

2

Pricing: how the cost is calculated

Credamo

Credamo splits fieldwork into three parts: a minimum reward (RMB 1 per complete, RMB 100 here), a targeting fee per audience dimension (RMB 100 for gender, RMB 150 once two age bands are added) and a RMB 15 platform fee, totalling RMB 265. The targeting fee is per order, so it thins as volume rises.

WeJot

WeJot prices per item, so cost scales linearly with volume and can be calculated up front. With many dimensions and few completes it does not benefit from a one-off order-level fee the way Credamo does.

Source:Credamo’s public estimator, checked 2026-09-15

3

Interviews: we have them, Credamo does not

Credamo

No AI interview product: its AI sits in question generation, an in-question chatbot and statistical analysis.

WeJot

AI interviews in voice, video and text, sharing the sample and report with the survey, with resumable sessions, vision-driven probing and emotion analysis.

4

Academic research: where Credamo leads

Credamo

The data marketplace, reusable respondent library, longitudinal pushes and enterprise contact channel, together with configurable rejection-rate ceilings (50% enterprise, 35% advanced, 20% entry and below), fit academic needs such as multi-wave designs with tightly separated conditions.

WeJot

WeJot supports repeat waves on fixed samples with automatic gap filling, which covers common longitudinal needs. The difference sits in lab-based work: Credamo runs an HBO behavioural lab platform with eye-tracking and portable EEG products, and we do not provide that kind of physiological measurement.

Feature-by-feature

Competitor capabilities come from their own sites and help centers. Sample prices come from quoting the same questionnaire on the same day.

Dimension
Credamo
WeJot
Instrument
Arbitrary interactive question types
Preset question types
Generated on demand
Complex logic
Configured in the UI
Described in plain language, executed as code
Appearance (theme, colour, layout)
A cover image and rich-text formatting for descriptions; company logo and ad removal need the enterprise tier, and full-page visual work means embedding custom code in an HTML question, with no theme or skin library
Appearance is fully open: themes, colours and layout defined freely, with the agent able to produce animated or 3D question and page effects
Sample and fieldwork
Own official panel
Data marketplace with 3M+ official members as stated
Over five million registered users in mainland China
Limit on targeting criteria
Self-serve ordering allows up to three criteria at once, with more requiring a manual-collection service; the feature settings and quota are advanced-tier only
Labels combine freely, with no cap and no tier gating
Membership gates on quality control
Prior participation, credit score, acceptance rate and identity verification need entry tier or above; liveness and screen recording need advanced
No tier gating; apart from identity and liveness checks, which consume resources per call, every control is available directly
Enterprise-tier gates on delivery and display
Scheduled release, geo-fencing, full-screen answering, auto-translation blocking, session audio and video recording, company logo, ad removal, custom end page and instant response alerts all require the enterprise tier
No tier gating; these can be configured on demand
Liveness and identity verification
Liveness is optional at RMB 0.5 per complete, and advanced-tier only
Identity and liveness checks, consuming resources per call
Quota (crossed / independent)
Yes, though the feature quota is advanced-tier only
Yes, priced per bucket
Longitudinal repeat waves
Waves are set up one survey at a time; a whole multi-wave project cannot be configured in one pass
Fixed-sample waves with automatic gap filling
Languages and overseas panels
The response page offers 15 preset languages, alongside an international site and a global panel for overseas respondents
Questionnaires in any language plus connected overseas panels for cross-market comparison
Rejection-rate ceiling
Capped by tier (20% / 35% / 50%)
No tier-based ceiling
Automatic screening and scarcity-based pricing
Respondents can be screened out, but pricing does not follow scarcity: the reward is whatever the requester sets
Respondents are screened automatically, and the quote moves with sample scarcity
Interviews
AI depth interviews
No AI interview product; its AI sits in question generation, an in-question chatbot and statistical analysis
AI interviews in voice, video and text, sharing sample and report with the survey
Analysis and delivery
Data export formats
Its help centre lists Word and PDF for the questionnaire, plus a Crdf project file; the set of formats is fixed
Generated on demand in any file format the deliverable calls for, including Word, Excel, PPT, PDF and HTML
Statistical and modelling capability
Built-in modules for linear regression, structural equation modelling and similar; models and algorithms cannot be customised
The agent writes Python in real time for cleaning and analysis, with any model or algorithm
Commercial and ecosystem
Billing unit
Reward plus per-dimension targeting plus platform fee
Length fee plus per-item labels
Pricing transparency
Membership and sample prices are public: free trial, entry at RMB 248 per year, advanced at RMB 298 per month (RMB 1,398 yearly), enterprise at RMB 3,498 per year; fieldwork stacks a minimum reward, a per-dimension targeting fee and a platform fee
Edition and fieldwork prices both published, with self-serve ordering
Granularity of quality controls
Individually switched and priced
Applied as one default set
Lab research tools (EEG, eye tracking)
HBO behavioural lab platform, with eye-tracking and portable EEG products
Online questionnaires and AI interviews; no lab physiological measurement hardware
Yes Partial No No public statementThis page is a comparison, not a quotation, and it is not endorsed by any vendor named here.

Why choose WeJot over Credamo?

The questions that arise most often during an evaluation, answered directly.

Fieldwork features should not be tier-gated

Credamo places many fieldwork features behind membership tiers: targeting, feature quota, liveness and screen recording need advanced; prior participation, credit score and identity verification need entry; scheduled release, full-screen answering, company logo and ad removal need enterprise. For the 100-complete case that means RMB 265 of fieldwork plus RMB 298 of membership, or RMB 563. WeJot does not tier labels, quota or quality controls, so the whole cost sits in the study: RMB 260.

Quality control runs by default, with a few metered items

Credamo’s switches are finer and priced individually, mostly RMB 0.2 per complete and RMB 0.5 for liveness, which lets you tune quality against cost precisely. That is real value. WeJot makes the opposite trade: identity and liveness checks, security verification and attention checks, location limits, in-session supervision, logic consistency and clustering limits, plus history-based exclusion, all run by default, and invalid completes are not counted. Identity and liveness checks consume resources per call.

Qualitative interviews at research scale

Credamo has no AI interview product, so depth qualitative work means bringing in another tool. WeJot runs AI interviews in voice, video and text on the same sample and quota as the survey: the survey screens eligible participants, the interview goes deeper with the same people, and sessions, quota and fieldwork progress stay visible in one project, so scaled depth interviews fit inside a single academic workflow. After fieldwork, regression, reliability and validity analysis and cross-tabs run in the conversation, with deliverables produced as Word, Excel, PPT, PDF or HTML on request.

One agent across the whole study

Start from a research goal: generate the questionnaire, configure sample and quota, run fieldwork and quality control, launch AI interviews where they add depth, then run regression, reliability and validity analysis and cross-tabs in the same conversation, with deliverables produced as Word, Excel, PPT, PDF or HTML on request. Survey, interviews and data stay in one project, every conclusion traces back to the original answer or recording, and costs are itemised and visible before you order.

Frequently asked

Their fieldwork is only RMB 5 more. Why does the total differ so much?

The membership. Credamo gates audience targeting to its advanced tier, and this study needs targeting, so RMB 298 (lowest monthly tier) is added. Several projects a year amortise it; a single study cannot.

How does your panel differ from their official panel?

Both are real respondents; the difference is sourcing and distribution. Credamo organises supply around a marketplace with a high share of academic users. WeJot runs a self-owned mainland pool across city tiers and has verified respondent authenticity through video interview work. Quote your audience on both before deciding.

Do many quality controls slow fieldwork down?

Yes. Credamo’s own help center warns that stacking controls raises cost and slows fieldwork, and rejection rates are capped by tier. WeJot runs the necessary controls by default so researchers do not have to tune cost against speed before launch.

I need a longitudinal study with the same respondents. Do you support it?

Yes. Repeat waves on a fixed sample, with incentive recycling and automatic gap filling; waves link by respondent identity, or the study can be split into cross-sections. Credamo is equally mature here, so testing both in practice is worthwhile.

Does Credamo have AI interviews?

No. Credamo’s AI sits in question generation, an in-question chatbot and statistical analysis. WeJot runs AI interviews in voice, video and text on the same sample and report as the survey, with resumable sessions, vision-driven probing and emotion analysis.

Start a study today

Create a project and keep the questionnaire, fieldwork, interviews and report inside it, with costs visible before you order.