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Playbook · May 2026

Replatforming Off Bazaarvoice/Yotpo: A Migration Playbook

Leaving an incumbent reviews suite is mostly a fear problem: teams worry they will lose their stars, their history and their SEO equity on the way out. This playbook is the cutover plan that protects all three, with a data-portability checklist, an SEO-preservation method that keeps your review rich results lit, and a cost model that shows what the switch is actually worth.

  • 21 pages
  • 16 min read
  • For: ecommerce leader, cto, cmo
Rohin Aggarwal

Written by

Rohin Aggarwal

Bazaarvoice

$8k/mo

  • per-impression
  • vendor JSON-LD

Idukki

$1.6k

  • stars preserved
  • 1-day switch
IdukkiPlaybook · 21p

Replatforming Off Bazaarvoice/Yotpo: A Migration Playbook

What you’ll learn

  • Replatforming is a cutover, not a leap: audit, export, map, cutover and verify, with a rollback path at every gate
  • Insist on data portability: reviews, photos, ratings, author identity and verified-buyer state are yours to take
  • Preserve SEO equity by keeping review IDs and JSON-LD shape stable so rich results do not reset
  • Build a cost model that compares total cost of ownership, not headline price, including the saved per-impression billing
  • Verify with a reconciliation pass: review counts and average ratings must match before and after the cutover

Chapter previews

  1. Chapter 01

    Why teams leave the incumbents

    Per-impression and seat-based billing scale worse than the traffic that earns them, and the feature lock-in stops paying off. The switch is usually about TCO and flexibility, not a single missing feature.

  2. Chapter 02

    The cutover plan

    Audit, export, map, cutover, verify. A staged migration with a rollback path at each gate, so the switch never bets the whole storefront on one irreversible step.

  3. Chapter 03

    Data portability, end to end

    Reviews, photos, Q&A, ratings, author identity and verified-buyer state. What to export, in what shape, and how to confirm nothing was left behind.

  4. Chapter 04

    Preserving SEO and rich results

    Keep review IDs stable and the JSON-LD shape consistent so Google does not treat the content as new and reset your star eligibility.

  5. Chapter 05

    The cost model

    Total cost of ownership, not headline price: licensing, per-impression billing, implementation and the internal time the old suite consumed.

  6. Chapter 06

    Verify and decommission

    A reconciliation pass on counts and ratings, a monitoring window on rich results, and a clean decommission once the new platform is proven.

Inside the playbook

Most brands stay on a reviews suite they have outgrown for one reason: fear of the migration. The worry is specific and reasonable. Years of reviews, photos and Q&A, the verified-buyer history that makes them trustworthy, and the star ratings in Google that took months to earn. Lose any of it on the way out and the switch costs more than it saves. The teams that migrate cleanly do it by refusing to treat it as a leap. They run it as a staged cutover where every step is reversible until the last one, and where nothing goes live until the data has been proven to match. This playbook is that method.

The decision to leave is usually about economics and flexibility rather than a single feature. Per-impression and seat-based billing on the legacy suites scales with your traffic, which means the better your store does, the more the incumbent charges you for content you already own. Modern UGC platforms price differently and unlock surfaces the older suites were never built for: shoppable video, multi-source aggregation, AI tagging. But none of that matters if the migration loses your equity, so the work is to protect the equity first and capture the upside second.

  • ~88%

    of shoppers consult reviews before buying, which is the equity a migration must protect

    Representative range, Bazaarvoice / Bizrate Insights shopper surveys

  • TCO-led

    switching decisions are usually driven by total cost of ownership, not a missing feature

    Representative, flagged directional: based on Idukki migration patterns

  • preserve

    review IDs and JSON-LD shape to keep rich-result eligibility from resetting

    Per Google structured-data and rich-results guidance

  • reconcile

    counts and average ratings before and after, or the cutover is not done

    Representative principle, standard data-migration practice

Representative ranges from named public sources and Idukki migration experience, flagged directional. Calibrate against your own contract and traffic before forecasting.

Where each migration asset sits on equity and portability risk

Higher equityLower equity
Carry as standard
Review bodies + ratings
Protect deliberately
Google star ratingsVerified-buyer stateAuthor identity
Low stakes
Widget styling / layout
Verify carefully
Customer photos + Q&A
Easy to carry acrossAt risk in migration
A positioning view of what a cutover puts at risk. The top-right, high equity at high risk of loss, is where the careful work goes: author identity, verified-buyer state and the star ratings.

The cutover plan

Run the migration as five staged gates, each with a check before you proceed and a rollback if the check fails. The point of staging is that you never bet the whole storefront on one irreversible action. You audit what you have, export it, map it to the new platform's shape, cut over a controlled slice, verify it matches, and only then complete the switch. A team that skips straight to cutover is the team that discovers a missing photo set or a reset star rating in production.

Audit to export to map to cutover to verify

  1. 01

    Audit

    Inventory everything the incumbent holds: review counts, photos, Q&A, ratings, author identity, verified-buyer flags and the live JSON-LD shape. You cannot migrate what you have not counted.

    Baseline

  2. 02

    Export

    Pull a complete, portable export of the data, including author identity and verified-buyer state, not just review text. Confirm the export totals match the audit baseline.

    Complete

  3. 03

    Map

    Map every field to the new platform, preserving review IDs and the JSON-LD shape so the content reads as the same content, not as new. This is where SEO equity is kept or lost.

    ID-stable

  4. 04

    Cutover

    Switch a controlled slice first, validate it in production, then complete the switch. A staged cutover keeps a rollback path open until the final step.

    Staged

  5. 05

    Verify

    Reconcile counts and average ratings before and after, and watch rich results for a monitoring window. Decommission the old suite only once the new one is proven.

    Reconciled

Five staged gates. Each has a check before you proceed and a rollback path if it fails, so nothing irreversible happens until the data is proven.

Legacy suite versus modern UGC platform

The comparison that justifies the migration is not feature-by-feature, it is what each model is built for and what it costs to run at your scale. The legacy suites are mature and broad, and they bill in ways that punish growth. The modern platforms are leaner on legacy enterprise tooling but built for the surfaces that now drive conversion, and they price without taxing your traffic. The panel lays out the trade honestly, including where the incumbent still has an edge.

CompareLegacy reviews suite versus modern UGC platform
1The incumbent

Legacy reviews suite

Mature, broad and deeply embedded, with billing that scales against you.

Wins at

  • Long-established enterprise feature set
  • Broad syndication networks
  • Deeply documented integrations

Struggles with

  • Per-impression or seat billing that grows with traffic
  • Built for reviews, retrofitted for video and social UGC
  • Heavier runtime, more pressure on Core Web Vitals
  • Lock-in that makes leaving feel risky
Traffic-taxedcost scales with success
2The switch

Modern UGC platform

Built for shoppable video, multi-source UGC and AI tagging, priced without taxing traffic.

Wins at

  • Pricing that does not scale per impression
  • Native shoppable video and multi-source aggregation
  • Lighter, CWV-conscious runtime
  • AI tagging and rights workflows built in

Struggles with

  • Newer, with a shorter enterprise track record
  • Requires a migration to capture the upside
  • May not match every niche legacy feature
Flat-ratecost decoupled from traffic

An honest trade. The incumbent has breadth and maturity; the modern platform has the surfaces and the pricing model that fit how commerce converts now.

Preserving SEO and rich results

The equity most at risk in a migration is the one you cannot see: the star ratings in Google that took months of reviews to earn. Google grants those on the basis of stable, valid structured data tied to a recognisable entity. If the migration changes the review IDs, alters the JSON-LD shape, or breaks the page-match between markup and visible content, Google can treat the reviews as new and reset your eligibility while it re-evaluates. Keep the IDs stable, mirror the previous schema shape on the new platform, and make sure the markup still matches what the shopper sees. Done right, the stars carry across the cutover and the shopper never notices the platform changed underneath them.

  • Preserve review IDs so Google reads migrated reviews as the same content, not as new arrivals
  • Mirror the prior JSON-LD shape (Product, Review, AggregateRating) so rich-result eligibility carries
  • Keep markup matched to visible content, the rule that disqualifies a block if broken
  • Hold a redirect and monitoring window on rich results through the cutover, with a rollback ready

Migration readiness: how reversible is your cutover

  1. 1

    Locked in

    You’re here ifStaying on an outgrown suite purely from migration fear, with no audit of what the incumbent actually holds.

    Next moveInventory review counts, photos, Q&A, ratings, author identity and verified-buyer state.

  2. 2

    Big-bang plan

    You’re here ifA switch is planned, but as a single cutover with no rollback path and no reconciliation step.

    Next moveRe-plan as five staged gates, each with a check and a rollback before you proceed.

  3. 3

    Staged + reconciled

    You’re here ifA complete export carries author identity and verified-buyer state, IDs and JSON-LD shape are preserved, and a controlled slice cuts over first.

    Next moveReconcile counts and average ratings before and after, and hold a rich-results monitoring window.

  4. 4

    Equity-preserved

    You’re here ifStars carry across, the data is proven to match, the old suite is decommissioned only after verification, and the new surfaces are live.

    Next moveBuild the TCO model so the traffic-scaling saving is explicit for finance.

Find the stage that matches how your team is approaching the switch, then make the next move. The jump from a big-bang plan to a staged, reconciled cutover is what keeps years of equity intact.
“The fear in replatforming is losing what you spent years earning. Run it as a reconciliation, not a leap, and you keep all of it.”

The 30-60-90 day plan

A clean replatform is a staged project, not a weekend cutover. This is the cadence that protects the equity first, proves the data matches, and only then captures the pricing and surface upside.

From locked-in to equity-preserved in 90 days

  1. 01

    Days 1-30

    Audit everything the incumbent holds, pull a complete portable export including author identity and verified-buyer state, and confirm the export totals match the audit baseline.

    Audit + export

  2. 02

    Days 31-60

    Map every field to the new platform with review IDs and JSON-LD shape preserved, cut over a controlled slice, and validate it in production with a rollback path still open.

    Map + staged cutover

  3. 03

    Days 61-90

    Reconcile counts and average ratings before and after, hold a rich-results monitoring window, decommission the old suite only once proven, then turn on the new surfaces and the TCO case.

    Reconcile + capture upside

Each window gates the next. Nothing irreversible happens until the reconciliation passes.

The cost model

Build the business case on total cost of ownership, not headline licence price, because the headline is the part that misleads. Count the licence, but also the per-impression or seat billing that grows with your traffic, the implementation and maintenance time the old suite consumed, and the runtime cost it imposed on page speed and therefore conversion. Against that, set the new platform's pricing and the surfaces it unlocks. For most growing stores the saved per-impression billing alone closes the case, before any conversion upside from video or aggregation is counted. Put the model in front of finance with the traffic-scaling line made explicit: that is the number that makes the switch obvious.

Sources and further reading

  1. 1Google, structured data and rich-results guidance
  2. 2Bazaarvoice, Shopper Experience Index (review behaviour and equity)
  3. 3Nosto / Stackla, UGC conversion and engagement benchmarks
  4. 4Idukki, migrating off Bazaarvoice: the 30-day plan
  5. 5Idukki, winning star ratings: the review schema handbook
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  • Replatforming is a cutover, not a leap: audit, export, map, cutover and verify, with a rollback path at every gate
  • Insist on data portability: reviews, photos, ratings, author identity and verified-buyer state are yours to take
  • Preserve SEO equity by keeping review IDs and JSON-LD shape stable so rich results do not reset

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Replatforming Off Bazaarvoice/Yotpo: A Migration Playbook, free playbook — Idukki