Ridge Research

Respondent profiles

Better profiles, better surveys.

When we already know a respondent's company, role, authority and technology, every stage of the survey gets faster, cheaper and cleaner. For the agency, the end client and the respondent.

Illustrative demo data

The difference

Deep profiles versus basic panel data

Example US IT decision maker study, 150 completes. Illustrative figures.

Fieldwork metrics: lower is better except incidence

Quota fill over time (% of target)

Typical CPI (USD)

3.7x

Higher incidence at entry

57%

Shorter screener

50%

Fewer days in field

34%

Lower CPI

Who benefits

Better for everyone involved

For agencies

  • Feasibility based on real profile counts, not guesses
  • Fewer mid field surprises and quota top ups
  • Lower and more predictable CPI

For end clients

  • The right decision makers, verified by role and authority
  • Cleaner data with fewer removals
  • Results that can be cut by stack and buying role

For respondents

  • Shorter screeners that respect their time
  • Invitations that match their actual job
  • Far fewer screen outs and wasted starts

Walkthrough

How profile data shortens the screener

  1. 01

    Profile match

    We select profiles that already match role, seniority, company size, industry and stack.

  2. 02

    Targeted invitation

    Only matched profiles are invited, so incidence at entry is far higher.

  3. 03

    Short confirmation screener

    Key profile facts are reconfirmed in a few questions instead of asked from scratch.

  4. 04

    Consistency check

    Answers are compared with the stored profile. Mismatches are flagged for review.

  5. 05

    Profile refresh

    Confirmed changes update the profile so the next study starts even cleaner.

FAQ

Frequently asked questions

Short answers to the questions research teams ask us most.

Have a B2B study that needs to field?

Send the audience, completes and timing. Our team will reply with feasibility and a CPI within one business day.

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