Vertafore vs Zywave: Agency Analytics Compared 2026

Choose the analytics category before the vendor

Choose Vertafore AMS360 when your priority is understanding and managing the agency’s own book, commissions, accounting, and operational performance. Choose Zywave’s relevant analytics products when your priority is client advisory work: comparing commercial coverage, explaining losses, or analyzing employer health plans. Buying an analytics module and replacing an agency management system are different decisions.

Insurance analytics turns policy, financial, claims, or market data into evidence for agency and client decisions.

TL;DR: For an agency principal asking “How is our business performing?”, start with AMS360 reporting. For a broker asking “What should this client change about its coverage or benefits?”, evaluate the applicable Zywave analytics module. Consider both only when the separate business cases justify the expense and the data handoff is feasible.

Product names matter here. Vertafore’s connected agency platform is called AgencyOne, anchored on AMS360 and Sagitta; it was presented publicly on April 2, 2024, according to Vertafore. AgencyOne is a platform context, rather than a reason to assume every analytics capability is included with AMS360.

Likewise, “Zywave” describes a broader portfolio, including agency management offerings. This comparison focuses on its broker analytics products, particularly Commercial Analytics and Decision Master Warehouse + PlanAdvisor. It does not treat those modules as substitutes for every function in AMS360.

Key Takeaways

• Choose AMS360 first when policy records, billed production, commissions, and agency financial reporting are the central problem.

• Choose Zywave’s Commercial Analytics for evaluating commercial coverage against peer information; evaluate its benefits analytics separately when employer health-plan analysis drives the purchase.

• An existing management system changes the decision. Replacing it for an advisory capability can create unnecessary conversion work.

• AMS adoption: 93% of surveyed agencies according to Catalyit (2024). This finding describes the survey respondents, not a vendor’s market share or a prediction of your results.

• Treat data permissions, export scope, refresh timing, and implementation ownership as selection criteria. A useful dashboard still needs a dependable input.

• Both vendors are Quote-based for the products reviewed here; compare written proposals with matching scope rather than guessing subscription prices.

Who this is for

This guide is for an independent agency principal, operations manager, or benefits brokerage leader deciding whether the next investment should improve internal management reporting, client advisory analysis, or the connection between them.

It is especially useful if your team can already name the decision a report should support: investigating producer performance, checking a renewal queue, explaining a coverage limit, or reviewing health-plan cost drivers. Those decisions need different data and different reviewers.

Red flags: your primary need is an accounting-system replacement but you are evaluating only advisory modules; you cannot obtain authorized policy or claims data; nobody will own report definitions and exceptions.

If the management-system choice itself remains unresolved, use the Applied Epic versus AMS360 comparison before adding an analytics layer. Otherwise, evaluate the missing capability against the tools you already license.

How we evaluated the buying decision

We reviewed public vendor product information and help documentation, then used independent research to frame agency and benefits-broker needs. The comparison separates documented product scope from our buying recommendations. We did not conduct hands-on testing, inspect private contracts, or measure customer outcomes.

The weights below are our proposed evaluation framework, not survey findings or vendor scores. The agency column favors internal records and commercial advisory work. The benefits column gives more weight to health-plan analysis. Adjust them before reviewing proposals if your actual priorities differ.

Each column totals 100%. For your own evaluation, score each criterion from 1 to 5 after seeing evidence: 1 means the requirement is unmet, while 5 means it is demonstrated with your permitted sample data and agreed operating process. Multiply the score by its weight and divide by 5.

We have deliberately left vendor scores unassigned. Public feature descriptions cannot establish whether your particular data, permissions, and purchased configuration meet a requirement. An unresolved essential requirement should remain unknown rather than receive an average score.

Normalize the feature comparison around real decisions

The matrix compares AMS360 and the relevant Zywave analytics modules, rather than assuming an entire vendor portfolio comes with a single subscription. “Confirm scope” means the requirement needs written clarification; it does not mean the feature is absent.

The category recommendation is our analysis: AMS360 is the more direct starting point for internal agency reporting, while the named Zywave modules are more direct starting points for specialized client analysis. That recommendation does not establish a universal winner.

For a broader shortlist, the insurance reporting and analytics software guide can help distinguish management reporting from advisory tools before you request comparable proposals.

Vertafore profile: start with the agency’s financial truth

AMS360 fits an agency that needs its reports connected to the same environment used for servicing and accounting. Its practical attraction is proximity to source transactions. That matters when management wants to explain a production change, rather than simply see a chart move.

Production Analysis distinguishes 3 count measures—customers, policies, and invoice transactions—and also reports premium volume, agency commission, and report-defined gross profit, according to Vertafore’s AMS360 documentation. The report is based on billed business and documented date rules, so its totals should not automatically be treated as submissions, bound business, or cash collected.

Our buying interpretation: this is useful when the principal needs to ask which producers, companies, or lines contribute to billed production. Agree on what each metric represents before using it in compensation discussions or renewal planning. Report-defined gross profit is not automatically a complete measure of agency profitability.

The limitation is scope. Internal production reporting does not, by itself, establish the appropriate coverage limit for a particular insured or model an employer’s medical-plan alternatives. Broader ecosystem products may address additional needs, but inclusion and data access must be confirmed in the proposal.

Implementation should begin with record quality and reconciliation. Review producer assignments, business-unit handling, transaction dates, and reporting permissions. If replacing an existing management system, require a conversion plan that covers opening balances, historical accessibility, and responsibility for resolving discrepancies.

If AMS360 already holds the necessary records, first reproduce a useful management report inside the existing system. A reporting configuration problem may require less change than a new purchase. The AMS360 renewal-workflow analysis provides a related way to examine operational handoffs.

Zywave profile: turn external context into client advice

Zywave’s Commercial Analytics fits a brokerage that needs evidence for commercial coverage discussions. Its documented scope includes loss analysis and benchmarking of premiums, limits, and retentions. The question is whether comparable organizations and relevant loss examples improve the advice your producers deliver.

Commercial benchmarks: 400,000+ insurance programs according to Zywave. This is the vendor’s published dataset claim, not an independently audited coverage measure or proof that every client has a suitable peer group.

Our buying interpretation: ask the vendor to demonstrate the peer-selection logic for the industries and exposures you actually serve. Review available geography, coverage definitions, data vintage, and treatment of unusual accounts. A large dataset can still be a poor match for a specialized client.

The limitation is that benchmarking is evidence for professional judgment, rather than a definitive coverage recommendation. A peer limit does not prove adequacy for a client with different contracts, assets, operations, or risk tolerance. Producers should explain those differences and record the reasoning behind their advice.

Implementation should focus on the advisory deliverable. Select a representative, appropriately permitted account, establish what information can be imported or entered, and produce an output a licensed reviewer can explain. Confirm which functions belong to Commercial Analytics and which require separately scoped products.

For workers’ compensation, evaluate ModMaster specifically. For employer medical-plan analysis, evaluate the benefits products specifically. Neither capability should be inferred from a general reference to Zywave analytics in a proposal.

Benefits analytics need claims context and a review owner

Benefits brokerages face a different analytic problem from agencies examining producer commissions. They need to explain health-plan costs, utilization, and possible design changes while controlling access to sensitive information.

Average annual family premium: $26,993 according to KFF (2025). This national employer-sponsored coverage average explains the financial significance of benefits advice; it is neither a software price nor an estimate for a particular employer.

Decision Master Warehouse + PlanAdvisor describes benchmarking across more than 60 categories, including health-plan costs and utilization, according to Zywave. The documented offering also includes renewal estimation, plan-design modeling, and branded reporting. Those capabilities make it a more relevant candidate than an agency production report when the decision concerns an employer’s health plan.

Before selecting it, establish whether the employer and data providers can supply authorized, sufficiently detailed information. Require clarity about file specifications, reporting periods, refreshes, aggregation, and permitted access. Missing or delayed claims data should be visible in the report rather than disguised as a complete picture.

A proposed US Tech Automations workflow could begin when an authorized benefits-data file arrives: validate its schema and reporting period, reconcile permitted aggregate totals, associate the employer with its agency record, and prepare a review packet incorporating licensed analytics outputs. Prerequisites include approved storage, usable exports or APIs, appropriate data agreements, and access controls. A designated benefits analyst would approve data completeness and assumptions before any client-facing report is released.

That proposed workflow coordinates inputs and review. It does not create claims access, substitute for the analytics vendor’s calculations, or guarantee a particular health-plan outcome.

Quote-based pricing: compare the whole operating cost

Pricing checked October 9, 2026.

Public subscription amounts were not available on the official product pages reviewed. Use Quote-based for these purchases and obtain written scope. Do not treat an inaccessible or undiscovered pricing page as evidence of a specific contract rate, discount, or free entitlement.

This is a proposal-comparison worksheet, not a statement that either vendor charges separately for every listed item. Require each proposal to mark items as included, optional, unavailable, or separately priced.

Compare the same operating period, users, products, and required deliverables. Include internal staff effort, overlapping subscriptions, retained historical access, and the cost of maintaining integrations. Treat uncertain implementation work as an unresolved scope item rather than assigning it an invented price.

Commission-data handling deserves attention: direct-bill commission-statement use reached 52% in the surveyed agencies, according to the Big “I” (2024). The purchasing implication is ours: an agency already receiving structured statements should investigate its existing reconciliation and reporting paths before adding another data-handling subscription.

An AMS replacement and an analytics add-on should have separate business cases. The replacement must justify conversion and operational disruption; the add-on must justify a better advisory deliverable or decision process.

Make the handoff accountable before adding automation

For an agency using both categories, define the record owner, matching key, permitted fields, and reviewer at each handoff. The management system can remain authoritative for agency records while an advisory module supplies additional analysis. Avoid creating competing versions of policy or account information.

A proposed workflow from US Tech Automations could trigger when an approved renewal export is available, validate required identifiers and dates, match accounts to permitted advisory outputs, and produce an internal exception queue plus draft account-review packets. It would require an authorized AMS360 export or API path, access to the purchased Zywave outputs, and a maintained account crosswalk. An account manager would review unmatched records; a producer would approve coverage conclusions before client communication.

For an illustrative agency that also uses HubSpot, assume a permitted renewal export contains 40 accounts, 8 lack a reliable CRM match, and 32 can proceed to draft preparation. HubSpot documents the hs_object_id field and permits up to 10 unique-ID properties per object, according to HubSpot. A maintained crosswalk would keep object types explicit and route the 8 exceptions to review; 40 − 8 = 32 eligible records. Assuming 15 minutes of manual preparation per eligible account versus 5 minutes of review after preparation, the arithmetic is 32 × (15 − 5) = 320 minutes, or 5 hours and 20 minutes of potential capacity. These account counts and timings are illustrative assumptions, not observed savings; exception handling, configuration, and maintenance remain additional work.

Zapier, Make, n8n, or an internal integration can support this kind of coordination. They can provide run histories, retries, error branches, and audit evidence when configured. The buyer still needs to design and own observability, idempotency, escalation, access controls, and maintenance.

A proposed managed design could make duplicate prevention keys, explicit review states, reconciliation rules, restricted write permissions, and failure ownership part of the agreed deliverable. That is a design choice requiring accessible interfaces and an accountable reviewer, not a claim that those controls are unavailable in no-code tools.

If the task is simply distributing an existing scheduled report, start with that existing capability. Add orchestration when the cross-system matching, exception handling, or review process creates a demonstrable need.

Use a decision checklist with seeded failure cases

Before selecting a vendor or integration approach, require a permitted sample workflow that produces the intended report and makes failures visible. The cases below are proposed acceptance conditions. Their counts are deliberately chosen test inputs and targets, not measured product performance or vendor limits.

Use the same sample and acceptance conditions for competing approaches. Record what worked, what failed, and what could not be evaluated. A denied integration request is unknown feasibility until its cause is resolved, not proof that a vendor lacks integrations.

Your decision checklist should also include signed-off metric definitions, purchased module scope, export permissions, report ownership, and an exit plan. Know what data and historical outputs remain accessible if you stop subscribing or change providers.

Questions agency buyers should settle

Which is better for reporting on agency performance?

AMS360 is the more direct starting point for reporting tied to the agency’s own transactions and records.

Validate the report’s date basis, commission treatment, and business-unit filters against a reconciled sample. Choose additional analytics only after identifying the management question that existing reporting cannot answer.

Does Zywave replace AMS360?

The Zywave analytics modules compared here do not by themselves replace the full AMS360 management and accounting role.

Zywave also offers agency management products, so evaluate a specifically named management product if replacement is your objective. Do not confuse a broad vendor portfolio with the functions included in an analytics proposal.

Can an agency use both vendors?

An agency can evaluate using both when internal management reporting and specialized client advice justify separate capabilities.

Confirm authorized data access, identity matching, refresh timing, and ownership of exceptions. Do not assume a turnkey connector exists for the precise products, deployment, and permissions in your contract.

Which option fits benefits claims analysis?

Decision Master Warehouse + PlanAdvisor is the more directly relevant named offering for employer health-plan analysis.

Its usefulness depends on available data, the purchased configuration, and a reviewer who understands the assumptions. An agency financial dashboard cannot replace a benefits-specific analysis merely because both display charts.

What do Vertafore and Zywave cost?

The reviewed products are Quote-based, so a meaningful comparison requires written proposals.

Match product scope and access rights before comparing totals. Ask each vendor to identify implementation responsibilities and included services, and include your agency’s own conversion, review, and maintenance effort.

When NOT to use US Tech Automations?

Use a simpler existing tool when native reporting, a controlled spreadsheet, or a maintained no-code flow already meets the requirement.

A native scheduled report can handle straightforward distribution; an approved spreadsheet can support occasional analysis; an owned integration can coordinate established interfaces. Adding orchestration is unnecessary when there is no unresolved handoff, exception, or review problem, and infeasible when essential data access is unavailable.

Select the product that owns the decision

Select AMS360 when the immediate purchase must improve agency records, accounting, and management visibility. Select the relevant Zywave analytics module when the immediate purchase must improve a defined commercial or benefits advisory deliverable.

Use both only after separate business cases and a demonstrated data handoff support the additional complexity. Require a named report owner, documented inputs, and visible exceptions before relying on outputs.

Where coordination is the remaining gap, see how US Tech Automations configures this around authorized exports, account matching, draft outputs, and human review. Keep the final choice anchored to the decision your agency needs to make.