Improvado vs Adverity: Which Marketing Data Platform Fits Enterprise Teams? (2026)

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5 min read

Adverity and Improvado both promise to solve the problem of fragmented marketing data across hundreds of platforms. Both are enterprise-grade ETL solutions built for teams managing multi-channel campaigns at scale. The architectural difference: Adverity positions as a flexible data integration engine with native connectivity to 600+ sources, delivering data to your warehouse or BI tool. Improvado positions as an end-to-end marketing intelligence platform — extraction, transformation, governance, and insights in one environment. Same problem, different scope of solution.

Full disclosure: we're Improvado, and this page is written from our perspective. We've tried to represent Adverity's capabilities accurately — and where we've gotten it wrong, email us and we'll fix it. Our goal is to help you make the right call, even if that's not us.

Quick Verdict: Adverity vs Improvado

Adverity is the right choice if you need instant access to 600+ native connectors, highly granular data extraction for seasonal analysis, and a customizable ETL layer your data engineers will own. Improvado is right when marketing teams need the full stack — extraction, no-code transformation with AI mapping, real-time governance (250+ pre-built rules), and professional services included — without waiting on engineering tickets. The deciding factor: does your team need a data delivery platform, or an end-to-end intelligence environment that marketers operate themselves?

Feature Comparison: Improvado vs Adverity

Feature Improvado Adverity
Platform Type End-to-end marketing intelligence platform (ETL + transformation + governance + AI insights) Enterprise ETL platform for data integration and delivery
Data Connectors 500+ connectors; many by request with 2–4 week SLA; unlimited source accounts 600+ native connectors; immediate access, no support needed; extremely high extraction granularity
Data Transformation No-code AI mapping, pre-built marketing models (MCDM), visual blending/joins, custom calculated fields; SQL access for engineers Powerful scripting/AI transformations; high flexibility for custom fields, taxonomy parsing, attribution models; requires technical setup
Marketing Data Governance 250+ pre-built rules library; real-time alerts for budget pacing, CPA/ROAS thresholds, naming violations; compliance dashboards; audit trails Fully customizable monitoring, compliance rules, data quality checks; advanced monitors with custom validation; supports anomaly detection
AI Capabilities AI Agent for natural language queries, anomaly detection, predictive insights; AI-powered mapping and blending AI-assisted transformations and data exploration; predictive analytics capabilities
Data Destinations BYOW (Snowflake, BigQuery, Redshift); managed warehouse option; native Snowflake app; direct BI integrations BYOW (Snowflake, BigQuery); extensive destination support; no managed warehouse
Attribution & MMM Built-in configurable attribution models (first-touch, last-touch, linear, time-decay, custom); MMM capabilities in platform Supports attribution via transformations; blending enables multi-touch analysis; no native MMM tooling
Implementation Professional services included in all plans; dedicated CSM; white-glove onboarding; 2–4 weeks to production Intuitive UI for fast self-service onboarding; support available; G2 reviews note some onboarding gaps for complex use cases
Pricing Model Tiered pricing (Growth: 200M rows; Enterprise: unlimited); includes services/customization; predictable annual cost Custom pricing only (minimum ~$30K/year reported); based on data volume, rows processed, connectors; complex Excel quotes; negotiable discounts
Enterprise Compliance SOC 2 Type II, HIPAA, GDPR certified; end-to-end lineage; multi-tenant workspaces SOC 2, GDPR inferred via enterprise focus; data lineage; governance in one platform; multi-tenant support

Feature comparison: Improvado vs Adverity (updated February 2026)

Where the Platforms Diverge

Your Marketing Team Operates the Full Pipeline — No Engineering Handoffs

Adverity delivers powerful ETL with flexible transformations, but the setup typically requires technical expertise — scripting custom logic, configuring advanced monitors, and managing governance rules. For large enterprises with dedicated data engineering teams, that's fine. The engineers own the infrastructure, marketers consume the output.

Improvado flips that model. The platform is designed for marketers to operate end-to-end: no-code AI mapping automatically standardizes metrics across platforms ("cost per acquisition" means the same thing everywhere), visual blending/joins let analysts combine ad data with CRM conversions without writing SQL, and pre-built marketing data models (MCDM) handle cross-channel normalization out of the box. Engineers can drop into full SQL when needed, but the default path is self-service.

The operational difference shows up when a new channel launches. With Adverity, the data arrives in your warehouse — but someone still has to transform it, blend it with existing datasets, and build the dashboards. With Improvado, the marketing ops manager clones an existing recipe, adjusts the mappings in the visual interface, previews the output, and activates it. No ticket to engineering. The platform handles the transformation layer marketers used to escalate.

Improvado review

"Now, we don't have to involve our technical team in the reporting part at all. Improvado saves about 90 hours per week and allows us to focus on data analysis rather than routine data aggregation, normalization, and formatting."

Real-Time Governance That Catches Problems Before Stakeholders See Them

Both platforms offer data quality monitoring, but the implementation philosophy differs. Adverity provides fully customizable monitoring — you define the rules, set the thresholds, configure the alerts. Powerful for teams with clear governance requirements and the bandwidth to build the rule library from scratch.

Improvado ships with 250+ pre-built governance rules covering the most common marketing data quality issues: naming convention violations, UTM parameter mismatches, budget pacing alerts, CPA/ROAS threshold breaches, cross-platform sync validation. The rules are severity-tiered (high/medium/low) so teams prioritize what matters. Per-workspace rules mean each brand or client gets independent taxonomy enforcement.

The governance layer runs continuously. If a campaign launches with a mistagged naming convention, the pre-launch validation flags it before spend starts. If budget is pacing 30% over target mid-month, the alert fires immediately — marketing ops intervenes before the CFO asks questions. If platform APIs change and data stops flowing, the integrity checks catch it within hours, not weeks.

For agencies managing 20+ client accounts, governance isn't optional — it's the difference between scalable operations and constant firefighting. Adverity lets you build it; Improvado delivers it pre-configured.

Improvado review

“If we don't trust the data, the agency won’t trust the reports and won't give them to the client. They’ll start pulling data manually to Excel and spend a lot of time comparing platform numbers to reports. With Improvado, we now trust the data. If anything is wrong, it’s how someone on the team is viewing it, not the data itself. It’s 99.9% accurate.”

White-Glove Services vs. Self-Service Scale

Adverity's strength is native connectivity. With 600+ connectors available immediately, teams can onboard new channels in days without involving support. The UI is designed for fast self-service setup, and G2 reviews consistently praise the reduction in manual data wrangling. For teams with clear requirements and technical confidence, that self-sufficiency is valuable.

Improvado includes professional services in every plan — not as an add-on. Onboarding isn't "here's the login, figure it out." It's a dedicated CSM who maps your data sources, configures your transformation recipes, sets up governance rules for your taxonomy, and trains your team on the platform. Custom connector requests come with a 2–4 week SLA, not a vague "we'll see."

The service model shows up in ROI timelines. Adverity's self-service works when you have the internal bandwidth to configure everything. Improvado's service model works when you need to go from contract signature to live dashboards in under a month — and you'd rather spend that time analyzing data than building the infrastructure.

Improvado review

“Having a single point of contact simplifies everything. If we ever need assistance, we can reach out directly to Improvado instead of managing it internally. That's worth something.”

AI That Surfaces Insights, Not Just Automation

Both platforms offer AI capabilities. Adverity uses AI to assist with transformations and data exploration — predictive analytics, anomaly detection, pattern recognition in large datasets. The AI layer makes the ETL process smarter and surfaces issues faster.

Improvado's AI Agent operates at a different level: natural language queries return actual answers, not just data extracts. A marketing director types "which creative formats drove the lowest CPA in Q4 across paid social?" — the AI queries the unified dataset, runs the cross-platform analysis, and returns the answer with visualizations. No SQL. No dashboard builder. The AI does the analysis.

The difference matters when scaling insights across teams. Adverity's AI makes data engineers more efficient. Improvado's AI makes non-technical marketers self-sufficient. Both are valuable; the question is who on your team needs to move faster.

Improvado review

“I use Improvado AI Agent to get basic analytics and quick solves. I just enter the question, and it gives me the answer I need.”

See How Improvado Handles Your Marketing Data Stack
Book a 30-minute demo and we'll show you exactly how Improvado extracts, transforms, governs, and delivers insights from your specific data sources — using your actual use cases, not generic slides.

When to Choose Adverity

Adverity is the better fit in several specific scenarios:

  • You need instant access to 600+ native connectors. If your data stack includes niche platforms or regional ad networks, Adverity's connector library is genuinely broader — and you won't wait weeks for custom builds.
  • Your data engineering team owns the transformation layer. If you're already running DBT in your warehouse and need clean data delivery, Adverity's ETL focus integrates seamlessly without overlap.
  • You need extreme extraction granularity for historical analysis. Adverity's high-granularity pulls excel at seasonal pattern detection and long-term trend analysis — if your use case is deep historical modeling, that depth matters.
  • You prefer to build governance rules from scratch. If your taxonomy and compliance requirements are highly custom, Adverity's fully configurable monitoring gives you complete control without pre-built constraints.
  • You're optimizing for lower entry cost. Adverity's baseline pricing (~$500/month for basic spreadsheet-level use) is lower than Improvado's Growth tier — if you're starting small and scaling gradually, the entry point is easier.

What Improvado Customers Say

Improvado serves enterprise marketing teams, agencies, and high-growth brands managing complex, multi-channel data operations. Here's how customers describe the platform's impact:

Case study

Yodel Mobile relies on Improvado for daily budget pacing and campaign optimization. Having centralized, reliable data allows them to make quick adjustments to ensure campaigns stay on track. Read full case study →


“Improvado allows us to have all information in one place for quick action. We can see at a glance if we're on target with spending or if changes are needed—without having to dig into each platform individually.”

For agencies scaling across multiple clients, Improvado's multi-tenant architecture and per-workspace governance rules enable standardized analytics delivery without manual customization for each account.

Case study

At Signal Theory, Improvado’s wide range of connectors—including the much-needed GA4—was a game-changer. Improvado also simplified the process of merging data from various sources and solved a major bottleneck that had been too cumbersome in the agency’s previous platform. Read full case study →


“Improvado’s connectors were huge for us in overcoming the limitations of our previous platform. I don't think we would have been able to get as far with data as we are now.”

The platform's combination of no-code transformation and full SQL access means both marketers and engineers work in the same environment — no data hand-offs, no versioning conflicts, no "wait for IT" bottlenecks.

Pricing Comparison: Improvado vs Adverity

Pricing structures differ significantly between the platforms, and total cost of ownership extends beyond the sticker price.

Improvado Pricing

Improvado operates on tiered, outcome-based pricing:

  • Growth tier: Up to 200M rows processed annually; includes professional services, dedicated CSM, and standard connector library.
  • Enterprise tier: Unlimited data volume; includes customization credits, advanced governance features, priority support, and custom connector builds with 2–4 week SLA.

Cost drivers: data volume (rows processed), number of connectors, transformation complexity, and destination types. Pricing is predictable annually — no surprise usage spikes. Professional services and CSM support are included, not add-ons.

Full pricing details: improvado.io/pricing

Adverity Pricing

Adverity does not publish fixed pricing tiers. All plans require a demo for a fully customized quote based on data volumes, rows processed, connectors, and other factors. Sales experiences report quotes delivered as complex Excel spreadsheets.

  • Reported minimum: At least $30,000/year based on user sales calls and internal sourcing (as of 2026).
  • Microsoft Azure Marketplace option: $200,000 upfront for a full 12-month subscription (one-time purchase model).
  • Negotiation: Users report ~9% discounts possible with contract bundling; costs rise with data volume and connector count, potentially becoming expensive for agencies or smaller teams.

Cost escalation: Adverity's usage-based model means costs can grow unpredictably as data volume scales. No managed warehouse option — you'll need a separate Snowflake or BigQuery contract.

Total Cost of Ownership

Hidden costs to factor beyond platform fees:

  • Data warehouse costs: Both platforms require BYOW (Snowflake, BigQuery, Redshift). Improvado offers a managed warehouse option; Adverity does not. Budget separately for warehouse compute and storage.
  • Engineering time: Adverity's setup is self-service for simple use cases, but complex transformations and governance configuration require technical bandwidth. Improvado's included professional services reduce internal engineering load.
  • BI tool licensing: Both platforms integrate with Looker, Tableau, Power BI — budget for BI seats separately. Improvado includes basic native dashboards; Adverity does not.
  • Connector maintenance: Adverity's 600+ native connectors are maintained by the vendor. Improvado's custom connector SLA (2–4 weeks) means some sources require a wait, but once live, maintenance is included.

For agencies managing 10–100 clients, Improvado's predictable annual cost and multi-tenant licensing make budgeting straightforward. Adverity's custom pricing model requires per-client negotiation.

Frequently Asked Questions

What is the main difference between Improvado and Adverity?

Adverity is an enterprise ETL platform focused on data extraction and delivery — it moves data from 600+ sources to your warehouse or BI tool with powerful transformation capabilities. Improvado is an end-to-end marketing intelligence platform that combines extraction, no-code transformation, real-time governance (250+ pre-built rules), and AI-driven insights in one environment. Adverity optimizes for flexible data delivery; Improvado optimizes for marketing teams operating the full pipeline without engineering dependencies.

Which platform has more data connectors?

Adverity offers 600+ native connectors with immediate access, covering a broader range of niche and regional platforms. Improvado offers 500+ connectors, with many available by request and delivered within 2–4 weeks via custom build SLA. If instant connectivity to uncommon data sources is critical, Adverity's native library is genuinely larger. If connector breadth across major marketing platforms (Google Ads, Facebook, LinkedIn, HubSpot, Salesforce) matters more than obscure sources, both platforms are comparable.

Does Improvado require a data warehouse, or can I use it standalone?

Improvado supports both BYOW (bring your own warehouse — Snowflake, BigQuery, Redshift) and a managed warehouse option. You can also deploy Improvado as a native Snowflake app if you're already operating in Snowflake. Adverity requires BYOW — there's no managed warehouse option. If you don't have a warehouse yet, Improvado's managed option eliminates that procurement and setup step.

Which platform is better for agencies managing multiple clients?

Improvado is purpose-built for agencies with multi-tenant workspace isolation, per-client governance rules, and predictable pricing that scales across client count. Professional services are included, so onboarding new clients doesn't require re-training or custom setup each time. Adverity supports multi-tenant deployments but operates on custom pricing per client, and setup is primarily self-service. If you're scaling from 10 to 100 clients, Improvado's service model and workspace architecture reduce operational complexity.

How long does it take to migrate from Adverity to Improvado?

Migration timelines depend on the number of data sources, transformation complexity, and governance rules in place. Most teams complete migration in 4–8 weeks with Improvado's professional services team handling connector setup, transformation recipe cloning, and governance rule configuration. The CSM runs parallel data flows during transition to validate accuracy before cutover. If you're evaluating a switch, request a migration plan during the demo — Improvado maps the timeline based on your specific stack.

Can Improvado handle attribution modeling, or do I need a separate tool?

Improvado includes built-in configurable attribution models: first-touch, last-touch, linear, time-decay, and custom. The platform also supports Marketing Mix Modeling (MMM) capabilities for incrementality analysis. Adverity enables attribution via transformations and blending but doesn't include native MMM tooling — you'd layer a third-party attribution tool on top. If attribution is central to your analytics stack, Improvado consolidates it in-platform.

What kind of support does Improvado provide compared to Adverity?

Improvado includes a dedicated Customer Success Manager (CSM) and professional services in all plans — onboarding, training, ongoing optimization, and custom connector builds are part of the package. Adverity offers responsive support (G2 reviews praise the team), but the model is primarily ticket-based with self-service onboarding for most use cases. If your team values white-glove service and proactive guidance, Improvado's CSM model reduces time-to-value. If you prefer self-sufficiency and minimal vendor interaction, Adverity's UI-driven setup works well.

When does Adverity make more sense than Improvado?

Choose Adverity if you need instant access to 600+ native connectors without waiting for custom builds, your data engineering team already owns the transformation layer in DBT or BigQuery, or you're optimizing for lower entry-level pricing (~$30K/year minimum vs. Improvado's Growth tier). Adverity excels as a flexible ETL engine for technical teams who want control over every transformation rule and governance configuration. Choose Improvado if marketing teams need to operate the full pipeline — extraction through insights — without engineering dependencies, or if real-time governance and AI-driven analysis are core requirements.

Ready to See Improvado in Action?
Book a personalized demo and we'll walk through how Improvado handles your specific data sources, governance requirements, and reporting workflows. See the platform with your actual use cases — not generic examples. Response within 1 business day.

FAQ

⚡️ Pro tip

"While Improvado doesn't directly adjust audience settings, it supports audience expansion by providing the tools you need to analyze and refine performance across platforms:

1

Consistent UTMs: Larger audiences often span multiple platforms. Improvado ensures consistent UTM monitoring, enabling you to gather detailed performance data from Instagram, Facebook, LinkedIn, and beyond.

2

Cross-platform data integration: With larger audiences spread across platforms, consolidating performance metrics becomes essential. Improvado unifies this data and makes it easier to spot trends and opportunities.

3

Actionable insights: Improvado analyzes your campaigns, identifying the most effective combinations of audience, banner, message, offer, and landing page. These insights help you build high-performing, lead-generating combinations.

With Improvado, you can streamline audience testing, refine your messaging, and identify the combinations that generate the best results. Once you've found your "winning formula," you can scale confidently and repeat the process to discover new high-performing formulas."

VP of Product at Improvado
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