Success & Retention · Advocacy

G2 and Capterra Review Request Automation

Review request campaigns usually run on a fixed schedule tied to account age or renewal date, with no check on what's actually happening at the account that week. A request that lands mid-support-issue or right after a bug report can turn what should have been a five-star review into a one- or two-star complaint, permanently visible on a public review site. Over-requesting the same accounts across G2, Capterra and TrustRadius in the same window also risks tripping review-platform spam detection, and campaigns rarely segment by role, so an end user with no ROI visibility gets asked the same questions meant for an economic buyer.

STARTING PRICE

From €99

Starter tier · Single-workflow automation, one core integration, fast turnaround.

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Saves roughly 2-3 hrs/week for customer marketing running always-on review campaigns.

How the automation works

We build a request campaign that checks for active support issues before sending, suppressing any account with an open escalation or a recent negative interaction instead of firing on schedule regardless. Requests are spaced across review platforms so the same account isn't hit with three asks in one month, and questions are tailored by contact role — an economic buyer gets ROI-framed prompts, an end user gets usability-framed ones — instead of one generic ask for everyone. A live suppression list synced from the support and escalation system keeps requests away from any account currently in a P1 or unresolved incident. Sentiment from the resulting reviews feeds back into the account record automatically, giving customer success visibility into public feedback that might otherwise surface only after a churn conversation has already started. Regional compliance rules around incentivized reviews are respected automatically, suppressing any reward-linked request in jurisdictions or on platforms where that practice violates review-site or consumer-protection policy.

Process flow

G2 and Capterra Review Request Automation — process diagram Flow diagram: Identify eligible accounts → Check active support/escalation status → Segment by contact role → Space requests across platforms → Send timed, role-matched request. IdentifyeligibleTRIGGERCheck activesupport/escalationAISegment bycontact roleAISpace requestsacrossAISend timed,role-matchedOUTPUT
  1. 01

    Identify eligible accounts trigger

    Accounts meeting a positive baseline — healthy score, no recent negative sentiment, sufficient tenure — enter the review request candidate pool.

  2. 02

    Check active support/escalation status ai

    Any account with an open support ticket, especially a P1 or unresolved escalation, is suppressed from the campaign regardless of its schedule position.

  3. 03

    Segment by contact role ai

    Requests are tailored by role — economic buyer, admin, end user — so the questions asked match what that contact can actually speak to.

  4. 04

    Space requests across platforms ai

    Requests to G2, Capterra and TrustRadius are staggered per account so the same customer isn't asked on multiple platforms in the same short window.

  5. 05

    Send timed, role-matched request output

    The request goes out with content matched to the contact's role and platform, and completion is tracked back to the account record.

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Inputs

  • Account health and sentiment status
  • Live support/escalation status per account
  • Contact role data
  • Prior review request history per account and platform

Outputs

  • Suppressed-account log (active escalations excluded)
  • Role-matched review request
  • Cross-platform request spacing schedule
  • Review completion tracking per account

Works with

Prefer a fully custom build instead of an off-the-shelf integration? We scope both options during your free consultation — most jobs like this one work fine on standard connectors, but higher-volume or non-standard systems sometimes need bespoke API work, reflected in the complex tier.

Where this goes wrong if you get it wrong

  • Review requests sent mid-support-issue or right after a bug report generate one- or two-star reviews instead of the intended positive review, actively damaging the public rating.
  • Over-requesting the same accounts across G2, Capterra and TrustRadius in the same month can trigger review-platform spam or incentive-abuse detection and get reviews removed or flagged.
  • Campaigns that don't segment by role ask end users with limited ROI visibility the same questions meant for economic buyers, producing thin, unhelpful reviews that don't move a prospect's decision.
  • No suppression list synced from active escalations means a customer in an open P1 incident can still receive a 'how are we doing' review request the same week, which reads as tone-deaf at best.

Frequently asked questions

How does this avoid asking a customer for a review during a bad support experience?

Every account is checked for an open support ticket or unresolved escalation before a request is sent, and any account currently in an active incident is suppressed from the campaign regardless of where it sits in the schedule.

Does it space out requests across different review platforms?

Yes, requests to G2, Capterra and TrustRadius are staggered per account so a customer doesn't get asked for three separate reviews in the same short window.

Can different contacts at the same account get different questions?

Requests are tailored by role, so an economic buyer is prompted on ROI and business impact while an end user is prompted on day-to-day usability, instead of one generic question set for everyone.

Is this connected to the case study and reference programs?

It draws on the same account health signals but runs as its own campaign, since review requests are lighter-weight and higher-volume than case studies or live reference calls.