GITNUXSOFTWARE REVIEW
Digital Transformation In IndustryTop 10 Best Programmatic Technology Services of 2026
Compare programmatic technology services and supporting platforms, with editorial notes on fit, pricing factors, and implementation considerations for teams.
How we ranked these tools
Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.
AI search agents find sources, extract figures with provenance, and aggregate written reviews. They also transcribe video reviews and podcasts.
Framework: Features 40% · Ease 30% · Value 30%
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Jellyfish is the best pick for ad ops teams that want managed trafficking and governance because it turns agreed pacing and targeting rules into verifiable delivery behavior across campaign components, while Digilant fits teams needing specialist control over audience-to-delivery and reporting connections since its provisioning ties setup choices to measurable outcomes.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Jellyfish
Trafficking and governance deliverables that translate agreed targeting and pacing rules into verifiable delivery behavior across campaign components.
Best for: Fits when ad ops teams want managed implementation, trafficking QA, and ongoing optimization across DSP and exchange buying paths.
Tinuiti
Editor pickOperationalization of deal setup and trafficking QA into repeatable desk workflows for faster campaign launches.
Best for: Fits when ad ops teams need an agency trading desk plus hands-on programmatic integration and automation.
Performics
Editor pickManaged integration support that coordinates campaign configuration across trading, measurement, and trafficking workflows to reduce operational drift.
Best for: Fits when agencies need managed programmatic execution that coordinates trading, measurement, and trafficking workflows.
Comparison Table
Jellyfish
agencyGlobal digital marketing agency offering programmatic advertising and media buying managed services.
Trafficking and governance deliverables that translate agreed targeting and pacing rules into verifiable delivery behavior across campaign components.
Jellyfish delivers managed programmatic technology services that connect ad operations teams to buying and measurement workflows across major DSP and ad exchange paths. Its core strength is operational integration, including campaign setup, trafficking QA, and optimization loops that keep delivery aligned to agreed targeting and pacing constraints.
Jellyfish also focuses on governance deliverables like documentation of trafficking logic and performance reporting designed for agency and in-house stakeholders. The service model typically favors hands-on implementation over self-serve toolkits, which affects how quickly new inventory sources and optimization changes can be operationalized.
- +Managed setup and trafficking checks reduce preventable delivery and reporting errors
- +Operational optimization supports consistent audience and pacing execution across campaigns
- +Clear documentation supports stakeholder review of targeting and measurement decisions
- +Integration work across DSP and ad exchange paths supports faster onboarding of new plans
- –Delivery speed depends on implementation intake and change-request turnaround
- –Less suitable for teams that need full self-serve control without service involvement
- –Automation depth is constrained by the managed workflow rather than an end-user platform
- –Advanced experimentation requires coordinated planning and operational bandwidth
Best for: Fits when ad ops teams want managed implementation, trafficking QA, and ongoing optimization across DSP and exchange buying paths.
Tinuiti
agencyPerformance marketing agency offering managed programmatic advertising across display, video, and CTV.
Operationalization of deal setup and trafficking QA into repeatable desk workflows for faster campaign launches.
Tinuiti delivers programmatic technology services through a managed agency trading desk model that pairs ad buying execution with platform integration work. The service emphasizes direct connections across DSP, ad server, and measurement workflows so trading changes and reporting updates can move through one operational chain.
Automation focuses on repeatable deal setup, trafficking standards, and recurring optimization cycles tied to campaign KPIs. The engagement is best evaluated by how quickly governance and workflow decisions can be encoded into day-to-day trading operations.
- +Managed trading desk execution reduces handoffs between buying, QA, and optimization
- +Integration support spans DSP activation, ad server trafficking, and measurement workflows
- +Reusable deal and trafficking standards improve consistency across campaign launches
- +Hands-on automation converts recurring tasks into repeatable operating procedures
- –Governance and workflow decisions depend on active collaboration with client teams
- –Programmatic implementation depth can be harder to reuse without a dedicated engagement cadence
- –API surface capabilities depend on the selected platforms and integration pattern
- –Operational turnaround for edge-case requests may lag behind self-serve tooling
Best for: Fits when ad ops teams need an agency trading desk plus hands-on programmatic integration and automation.
Performics
agencyPerformance marketing agency within Publicis offering managed programmatic media and performance services.
Managed integration support that coordinates campaign configuration across trading, measurement, and trafficking workflows to reduce operational drift.
Performics operates as a programmatic technology service provider that supports ad operations execution across agency trading desk and advertiser stacks. It is distinct for managed implementation work that connects buyers, measurement, and trafficking processes around campaign requirements.
Core capabilities include campaign setup, optimization support, and operational governance for programmatic buying workflows. Integrations are typically driven through API-enabled partners and structured configuration so changes can be applied across campaigns without redoing every build from scratch.
- +Managed implementation reduces ad ops rework during campaign iterations
- +Operational workflow support covers setup, trafficking, and ongoing optimization coordination
- +API-driven integrations support repeatable builds across multiple campaigns
- +Governance and documentation support helps keep trafficking and reporting aligned
- –Execution depth depends on provided partner access and integration scope
- –Requires disciplined change management to keep configuration consistent across campaigns
- –Advanced tuning is constrained by partner feature availability in each buying stack
- –Visibility into internal bidding logic is limited compared with self-managed DSP builds
Best for: Fits when agencies need managed programmatic execution that coordinates trading, measurement, and trafficking workflows.
Merkle
agencyDentsu-owned customer experience agency providing programmatic media and CRM integration services.
Specialist-managed programmatic operations that align audience planning, activation configuration, and measurement reconciliation.
Merkle targets programmatic teams that need managed integration across media data, identity, and measurement, not just bid execution. The offering is built around enterprise-grade services that connect activation workflows to audience strategy, governance, and reporting.
- +Managed activation reduces handoff gaps between audience strategy and ad buying
- +Stronger governance support for attribution, measurement consistency, and reporting review
- +Integration delivery covers tags, trafficking logic, and campaign configuration
- +Ongoing optimization services support iteration on targeting and creative performance
- –Greater reliance on specialists than self-serve programmatic workflows
- –Setup and configuration require coordinated input across data, media, and engineering teams
Best for: Fits when enterprise ad ops teams want specialist-led integration for activation, measurement, and governance control.
Croud
agencyDigital marketing agency providing programmatic media buying and performance advertising services.
Hands-on operational execution that coordinates trafficking and partner setup work across buying and monetization workflows.
Croud is a programmatic technology service provider focused on ad operations support and operational tooling for buying and monetization workflows. The core capability is delivery assistance that coordinates campaign execution, trafficking tasks, and technical setup across publisher and platform integrations.
- +Ad ops delivery support that targets execution, trafficking, and technical setup
- +Operational workflow control for partner configuration and deal handling
- +Monitoring and troubleshooting oriented toward live campaign delivery health
- +Integration work geared toward getting buying and monetization live faster
- –Less suitable for teams that need full self-serve automation end-to-end
- –Governance and reporting depth can feel limited versus platform-native tools
- –Operational dependence may increase lead time for rapid iteration
- –Integration scope may require more coordination than expected
Best for: Fits when ad ops teams need managed programmatic execution support across integrations and live troubleshooting.
Digilant
specialistIndependent programmatic media services company offering managed display, video, and mobile buying.
Operational provisioning ties audience configuration to delivery and measurement so ad ops can trace outcomes back to setup decisions.
Digilant centers on activation readiness for audience targeting inputs, with workflow controls that help teams keep configuration consistent across multiple campaigns and buying sources. It supports automation for recurring campaign structures and enables operational checks that reduce mismatches between audience definitions and what actually gets delivered. Integration depth tends to be stronger when teams want a managed bridge between identity handling and downstream execution.
- +Audience activation workflows reduce drift between segment definitions and delivery
- +Automation support improves repeatable campaign setup at scale
- +Identity handling is operationalized into downstream measurement outputs
- +Governance controls help standardize configuration across teams
- –Some setup steps rely on implementation support rather than self-serve
- –Higher operational maturity is needed to maintain consistent taxonomy mappings
- –Advanced reporting interpretation requires familiarity with campaign-to-audience wiring
- –Complex program structures may need additional integration work
Performance marketing operations teams
Provision audiences for recurring prospecting campaigns
Fewer setup inconsistencies
Enterprise ad ops
Standardize targeting and reporting across units
Cleaner cross-team reporting
Show 2 more scenarios
Programmatic measurement teams
Map outcomes back to audience definitions
Faster root-cause analysis
Measurement pipelines connect delivery results to how audiences were provisioned upstream.
Agency trading desks
Coordinate execution for multiple buyers
Reduced operational overhead
Digilant integration reduces manual translation effort between audience setup and buying execution details.
Best for: Fits when ad ops teams need managed integration control between identity, audiences, and reporting.
Adswerve
specialistConsultancy specializing in Google Marketing Platform and programmatic technology implementation services.
API-driven provisioning for campaign and execution state synchronization across ad ops systems.
Adswerve is positioned for ad ops teams that need repeatable execution across campaigns and vendors, with workflows designed around programmatic buying states, not just dashboard views. The integration model prioritizes automation, using documented endpoints for campaign setup and operational updates so execution can be driven from internal systems. Reporting and configuration are geared toward hands-on governance of delivery and optimization loops, with enough granularity to support troubleshooting by campaign and placement.
- +Automation-first campaign provisioning via API reduces manual trafficking steps
- +Granular operational reporting supports faster pacing and spend diagnostics
- +Workflow controls map cleanly to execution states used by ad ops
- +Extensibility supports integration with internal bidding and creative systems
- –Setup requires stronger integration discipline than UI-based buying tools
- –Configuration depth can slow initial onboarding for small teams
- –Advanced governance requires consistent naming and campaign structure
- –Troubleshooting depends on accurate tracking instrumentation upstream
Revenue operations teams
Automate campaign setup from internal systems
Faster launch cycles
Performance marketing managers
Run deal-based delivery with tighter pacing
More consistent delivery
Show 2 more scenarios
Ad ops engineers
Sync trafficking states across vendors
Fewer reconciliation issues
Execution state updates help keep trafficking, monitoring, and optimization systems aligned.
Agency trading desks
Standardize execution for multiple clients
Repeatable governance
Reusable automation workflows support consistent configuration across client campaigns.
Best for: Fits when ad ops needs controlled programmatic execution with API-driven automation.
Goodway Group
agencyProgrammatic advertising agency providing managed media buying and data activation services.
Managed campaign QA and operational monitoring that focuses on preventing integration and trafficking errors.
Goodway Group is a programmatic technology services provider positioned around managed ad operations and DSP to SSP integration support for ad buyers and agencies. The firm’s differentiator is operational depth across trafficking, campaign QA, and technical handoffs rather than offering a single trading product.
- +Operational oversight that catches trafficking and QA failures before launch
- +Integration assistance that reduces back-and-forth between ad ops and engineering
- +Process documentation that supports consistent setup across ongoing campaigns
- +Delivery monitoring geared toward correcting implementation issues quickly
- –More services-led than product-led, so internal dev teams carry less workload
- –API surface is not the primary strength compared with product vendors
- –Governance depends on disciplined change management and approvals
- –Advanced configuration depth can require more involvement from ad ops
Best for: Fits when agencies need managed programmatic execution and technical coordination across multiple partners.
Mighty Hive
specialistGroupM programmatic video and connected TV agency providing managed programmatic services.
Operational environment management with controlled workflow automation for consistent campaign execution.
Mighty Hive delivers programmatic media operations with a strong integration focus for agencies and publishers that need hands-on setup. The service centers on ad tech connectivity and workflow automation around bidding, tracking, and deal handling across real-time and managed buying paths.
- +Integration-led onboarding for ad server, measurement, and buying workflows
- +Automation focus for repeatable setup across campaigns and environments
- +Operational controls for change management during live delivery
- +Direct support for troubleshooting at the execution layer
- –API and automation depth can require internal engineering participation
- –Some workflows depend on third-party ad tech configurations
- –Governance steps add overhead for fast-turn, small experiments
- –Reporting granularity varies by connected stack and instrumentation
Best for: Fits when ad ops teams need managed integration and automation across multiple ad tech systems.
Amnet
specialistDentsu's programmatic trading desk offering managed programmatic media buying and activation services.
Managed end-to-end programmatic wiring that standardizes configuration and measurement across partners under governance.
Amnet’s delivery model emphasizes managed integration for programmatic buying and optimization workflows, with direct attention to how tags, trafficking rules, and measurement signals behave in production. Teams typically engage Amnet when they need consistent configuration across partners, custom execution paths, and strict operational checks for release cycles. The automation and API surface are positioned to reduce manual steps in setup and ongoing operations.
- +Integration-led implementation reduces ad ops rework during launch
- +API and automation support recurring operational tasks
- +Governance controls support controlled configuration changes
- +Partner coordination is handled through managed workflows
- –Less suited to self-serve teams needing quick UI-only changes
- –Onboarding demands clear requirements and defined ownership
Ad operations teams
Launch coordinated deal and measurement setup
Fewer launch regressions
Demand-side teams
Automate recurring buying operations
Faster production changes
Show 1 more scenario
Governance-focused teams
Control access and configuration changes
Clear accountability for changes
Amnet operationalizes change tracking and role controls to support audit-ready release cycles.
Best for: Fits when ad ops needs managed integrations across partners with strict governance and release control.
Conclusion
After evaluating 10 programmatic technology, Jellyfish stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right Programmatic Technology
Programmatic technology work turns ad ops intents into executed buying and delivery across DSPs, exchanges, and ad servers, then ties outcomes back to the configuration that caused them. This guide covers Adswerve, Amnet, Croud, Digilant, Goodway Group, Jellyfish, Merkle, Mighty Hive, Performics, and Tinuiti using the same evaluation lens: integration depth, automation and API surface, and the admin and governance controls visible in operational workflows.
The provider cards focus on how teams provision campaigns, manage partner setups, and prevent trafficking errors through repeatable process and tooling. The decision sections that follow map those mechanics to real execution needs such as controlled campaign state sync, managed governance, operational troubleshooting during live delivery, and audience-to-measurement consistency.
Programmatic Technology for ad ops: orchestration, API automation, and governance for execution
Programmatic technology is the set of systems and services that convert campaign rules into executable ad delivery behavior, including provisioning, trafficking QA, and measurement reconciliation across multiple ad tech components. In practice, teams use integration and automation surfaces to coordinate configuration changes, execution state, and reporting so the operational outcome matches the intended setup.
Adswerve emphasizes API-driven provisioning that synchronizes campaign and execution state across ad ops systems. Amnet emphasizes managed end-to-end wiring that standardizes configuration and measurement across partners under governance, which shapes how release control and operational ownership show up during onboarding and ongoing campaign change cycles.
Programmatic Technology capabilities that shape execution and governance
Programmatic technology services only help when they convert campaign intent into repeatable execution behavior across DSP, exchange, and ad server workflows. Teams feel that difference in provisioning speed, change safety, and whether delivery and measurement stay aligned with the configuration decisions made during setup.
Integration depth and API automation matter because ad ops work often depends on state synchronization. When Adswerve provisions campaign and execution state through an API, and when Amnet standardizes configurations and measurement across partners under governance, fewer manual trafficking steps are needed and fewer gaps appear between what was configured and what actually delivered.
API-driven campaign and execution state synchronization
Adswerve provides API-driven provisioning that synchronizes campaign and execution state across ad ops systems so execution behavior matches configured rules. This reduces manual trafficking steps and supports faster pacing and spend diagnostics through granular operational reporting.
Managed governance and release control across partner setups
Amnet focuses on managed end-to-end wiring that standardizes configuration and measurement across partners under governance, which shows up as stricter release control. This is designed for ad ops teams that need defined ownership during onboarding and ongoing campaign change cycles.
Operational execution support for live troubleshooting and trafficking
Croud and Goodway Group emphasize operational execution support and coordination of trafficking and partner setup work. Croud targets execution, trafficking, and technical setup with operational workflow control, while Goodway Group adds managed campaign QA and monitoring that prevents integration and trafficking errors before launch.
Audience activation workflows that reduce drift between setup and reporting
Digilant ties operational provisioning to audience configuration so ad ops can trace outcomes back to setup decisions. Jellyfish also supports consistent audience and pacing execution across campaign components through managed implementation, trafficking QA, and ongoing optimization.
Managed trafficking QA and measurement reconciliation across the workflow
Jellyfish and Merkle provide managed setup and reconciliation paths that reduce preventable delivery and reporting errors. Jellyfish supports trafficking QA across DSP and exchange buying paths, while Merkle aligns audience planning, activation configuration, and measurement reconciliation under specialist-led governance control.
Repeatable desk workflows for provisioning and launch readiness
Tinuiti operationalizes deal setup and trafficking QA into repeatable desk workflows so campaign launches move faster. Performics similarly coordinates campaign configuration across trading, measurement, and trafficking workflows to reduce operational drift during campaign iterations.
Controlled operational environments and repeatable automation across systems
Mighty Hive manages operational environment management with controlled workflow automation so campaign execution stays consistent across ad tech systems. This approach includes integration-led onboarding for ad server, measurement, and buying workflows with repeatable setup across campaigns and environments.
Decision framework for matching Programmatic Technology services to ad ops operating model
The right programmatic technology service depends on how changes move through the ad ops org. Some teams need API-driven provisioning that ad ops can automate with minimal service dependency, while others need managed governance and specialist coordination that standardizes configuration and measurement across partners.
Teams also differ in how they handle change risk. Tools and services like Adswerve that emphasize API provisioning suit teams that can maintain integration discipline, while services like Amnet and Merkle that emphasize governance and specialist alignment suit teams that prefer defined ownership and controlled release workflows.
Choose API provisioning automation when ad ops controls integration discipline
Select Adswerve when campaign and execution behavior must stay synchronized across ad ops systems through API-driven provisioning. This fit works when the team can manage stronger integration discipline than UI-only buying tools and can handle configuration depth during onboarding.
Choose managed governance wiring when release control and partner standardization drive outcomes
Select Amnet when strict governance and release control must standardize configuration and measurement across multiple partners. This fit works when onboarding can be structured with clear requirements and defined ownership, because less self-serve change speed is a tradeoff.
Choose operational execution support when live troubleshooting and QA prevent delivery failures
Select Croud when the team needs hands-on operational execution that coordinates trafficking and live partner setup work. Select Goodway Group when the priority is managed campaign QA and operational monitoring that catches trafficking and QA failures before launch.
Choose audience-to-measurement operationalization when drift between segments and delivery causes reporting mismatch
Select Digilant when audience activation workflows must reduce drift between segment definitions and delivery and improve tracing of outcomes back to setup decisions. Select Jellyfish when managed implementation and trafficking checks must translate agreed targeting and pacing rules into verifiable delivery behavior across campaign components.
Choose desk-workflow or specialist-managed reconciliation when handoffs create measurement gaps
Select Tinuiti when repeatable desk workflows are needed to operationalize deal setup and trafficking QA across DSP activation, ad server trafficking, and measurement workflows. Select Merkle when specialist-led integration must align audience planning, activation configuration, and measurement reconciliation under governance control.
Choose environment-managed automation when campaigns must run consistently across multiple ad tech systems
Select Mighty Hive when controlled workflow automation must keep campaign execution consistent across environments and systems. Select Performics when managed integration support must coordinate trading, measurement, and trafficking workflows to reduce operational drift across campaign iterations.
Who benefits from Programmatic Technology services focused on provisioning, QA, and governance
Ad ops teams benefit when programmatic technology turns targeting and pacing rules into executed delivery behavior with fewer trafficking mistakes. Teams see the largest gains when the service handles configuration translation, partner setup coordination, and verification of delivery behavior across DSP and exchange paths.
Some organizations also benefit because their operating model requires governance and controlled change management rather than self-serve campaign editing. Amnet and Merkle align well with those needs, while Adswerve and Mighty Hive fit teams that want automation and API-driven synchronization with controlled internal discipline.
Agencies and trading desks that manage campaign launches across multiple partners
Tinuiti and Performics support launch execution by operationalizing deal setup, trafficking QA, and coordinated trading and measurement workflow steps across iterations. This helps agencies reduce handoffs between buying, QA, and optimization during campaign changes.
In-house ad ops teams that need API automation and state synchronization across systems
Adswerve fits when API-driven provisioning must synchronize campaign and execution state across ad ops systems. Mighty Hive fits when operational environment management and controlled workflow automation must keep execution consistent across ad server, measurement, and buying workflows.
Enterprises that require specialist-led governance and measurement reconciliation
Merkle fits when specialist integration must align audience planning, activation configuration, and measurement reconciliation with stronger governance for attribution and reporting review. Amnet fits when governance and release control must standardize configuration and measurement across partners.
Teams that have recurring trafficking and integration failures during ramp-up
Goodway Group provides operational monitoring and managed campaign QA that focuses on preventing trafficking and integration errors before launch. Croud provides operational execution support that coordinates partner configuration and deal handling during live troubleshooting.
Organizations where audience and reporting drift creates attribution disputes
Digilant ties audience configuration to delivery and measurement so ad ops can trace outcomes back to setup decisions. Jellyfish emphasizes managed implementation and trafficking checks that translate targeting and pacing rules into verifiable delivery behavior and consistent execution.
Common pitfalls when buying Programmatic Technology services for execution and governance
Buying mistakes often show up as change failures, delayed launches, or reporting that does not match what ad ops intended to configure. These issues tend to come from mismatched expectations around whether provisioning is API-driven automation, managed governance wiring, or service-led operational execution.
Teams also fail when taxonomy mapping, ownership boundaries, or intake timelines are not defined before the first integration cycle. Adswerve and Mighty Hive can require deeper integration discipline, while Croud and Jellyfish can depend on implementation intake and change-request turnaround during delivery.
Assuming an API-centric service can be adopted like a UI tool
Adswerve reduces manual trafficking steps through API-driven provisioning, but its configuration depth and integration discipline can slow onboarding for small teams. Align onboarding ownership and integration responsibilities before the first campaign state synchronization workflow is launched.
Choosing a managed governance workflow while keeping self-serve change ownership ambiguous
Amnet standardizes configuration and measurement across partners under governance, but less self-serve speed is part of the tradeoff. Define requirements and decision ownership for releases so partner wiring and change control do not stall during onboarding.
Underestimating intake and change-request turnaround for managed trafficking QA
Jellyfish emphasizes managed setup and trafficking checks, so delivery speed depends on implementation intake and change-request turnaround. Set a clear change intake cadence so trafficking QA and optimization work can keep pace with campaign iterations.
Treating audience definitions and measurement mapping as separate projects
Digilant operational provisioning ties audience configuration to delivery and measurement so ad ops can trace outcomes back to setup decisions. If audience taxonomy mappings and segment definitions are handled outside the activation workflow, drift and reporting mismatch reappear.
Skipping governance and reconciliation when handoffs create measurement gaps
Merkle aligns audience planning, activation configuration, and measurement reconciliation, but it relies on coordinated input across data, media, and engineering teams. If those handoffs are not coordinated, measurement consistency and reporting review suffer.
How analysts check these Programmatic Technology services for fit
Analysts open the original publication and copy each figure beside the passage that states it. Analysts compare each copied figure with the official documentation, the changelog, and an independent review when one is cited, and they keep the figure only when it matches those documents.
Analysts include a published benchmark only when the benchmark is the cited source. Analysts write each page to cover the execution, provisioning, automation, and governance mechanics that the cited material supports for programmatic technology services.
Frequently Asked Questions About Programmatic Technology
Which providers support API-driven automation for campaign setup and operational updates?
How do integration and API interfaces differ between Amnet and Jellyfish for production delivery work?
When does programmatic delivery require SSO and security controls, and which services fit that governance model?
What breaks if identity inputs and audience schemas are migrated without alignment across providers like Digilant and Merkle?
Which service models handle admin controls and operational RBAC-style access patterns for day-to-day ad ops teams?
How does each provider approach extensibility when new inventory sources or optimization rules must be added?
Where does governance discipline become a tradeoff for teams choosing Digilant versus Adswerve?
Which providers are suited for agencies that must coordinate DSP, ad server, and measurement workflows through one operational chain?
How do onboarding and delivery models differ between Croud and Merkle when specialist-led integration is required?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
Funding and competing interests
This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.
They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.
Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →
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