10 Best Datalogix Alternatives for Audience Data & Attribution in 2026

Datalogix was a pioneer in offline-to-online attribution. It connected purchase data from retailers to digital ad exposure, letting brands measure in-store lift from display and social campaigns. Oracle acquired Datalogix in 2014 and folded it into Oracle Data Cloud. By 2020, Oracle shut down the Data Cloud business entirely, leaving marketers scrambling for replacements.

If you relied on Datalogix for closed-loop attribution, audience onboarding, or consumer purchase insights, you now need a platform that delivers similar capabilities—but built for a privacy-first world. This guide evaluates 10 alternatives across attribution, identity resolution, and marketing data infrastructure. You'll see which platforms excel at audience activation, which focus on measurement, and which solve the broader problem of fragmented marketing data.

Key Takeaways

✓ MediaMath by Infillion and Salesforce Data 360 are the closest functional replacements for Datalogix, offering audience activation and attribution in one platform.

✓ LiveRamp and Experian lead in identity resolution and data onboarding, but require separate analytics and reporting infrastructure.

✓ Privacy regulations (GDPR, CCPA) have made deterministic attribution harder—most platforms now rely on probabilistic modeling or first-party data integration.

✓ Improvado stands apart by unifying 500+ marketing data sources, campaign performance, and audience data in a single pipeline—eliminating the need for custom ETL work or stitching multiple vendors together.

✓ The right alternative depends on your use case: attribution-only, audience-only, or full marketing data infrastructure with attribution as one layer.

✓ Teams with multi-channel campaigns, large media budgets, or complex attribution needs benefit most from platforms that automate data transformation and governance.

What Was Datalogix and Why Do You Need an Alternative?

Datalogix built a data cooperative that linked loyalty card purchases and offline transaction records to cookie IDs and mobile ad IDs. Brands could target audiences based on purchase behavior, measure in-store sales lift from digital ads, and attribute conversions across channels. Oracle's shutdown forced marketers to rebuild these workflows from scratch.

Modern alternatives fall into three categories: attribution platforms that measure campaign impact across touchpoints; identity resolution platforms that onboard and match first-party and third-party data; and marketing data infrastructure that centralizes all campaign performance, CRM, and attribution data in one warehouse or analytics layer. Many teams now need a combination of all three—because no single vendor replicates Datalogix's full feature set in 2026.

How to Choose a Datalogix Alternative: Evaluation Criteria

Not all platforms solve the same problem. Before comparing vendors, define what you actually need from a Datalogix replacement. The right choice depends on five criteria:

Attribution methodology. Deterministic (cookie/device matching) or probabilistic (statistical modeling)? Multi-touch attribution (MTA), media mix modeling (MMM), or incrementality testing? Some platforms offer all three; others specialize in one. If you need closed-loop attribution across online and offline channels, verify the platform can ingest POS, CRM, and transaction data—not just ad impressions.

Identity resolution capabilities. Can the platform onboard your first-party customer lists and match them to addressable audiences across display, social, CTV, and email? Does it support deterministic matching (hashed email, phone), probabilistic matching (device graphs), or both? Check whether it integrates with your CDP, data warehouse, or existing identity vendor.

Data source coverage. How many ad platforms, publishers, analytics tools, and offline sources does it connect natively? Custom connector builds take weeks or months. Platforms with 100+ pre-built integrations reduce implementation time from quarters to days. If you run campaigns across Google, Meta, LinkedIn, TikTok, programmatic DSPs, and offline media, you need a platform that ingests all of them without engineering work.

Privacy and compliance. Does the platform support consent management, hashed PII, and privacy-safe attribution? Is it SOC 2 Type II, GDPR, and CCPA certified? Post-iOS 14.5, deterministic mobile attribution is limited—verify the vendor's workaround (aggregated attribution APIs, fingerprinting, or modeled conversions).

Reporting and activation workflows. Attribution data is useless if you can't act on it. Can you push audiences back to ad platforms for suppression or retargeting? Can you build dashboards in your BI tool of choice (Looker, Tableau, Power BI)? Does the platform include pre-built reports, or do you need a data team to extract value?

MediaMath by Infillion: Best Overall Datalogix Replacement

MediaMath, now owned by Infillion, combines a demand-side platform (DSP) with attribution and identity resolution in one stack. It's the closest thing to Datalogix's original value proposition: activate audiences, measure performance, and optimize campaigns across channels without switching tools.

Multi-Touch Attribution Across Display, Social, and CTV

MediaMath uses both deterministic ID matching and probabilistic modeling to attribute conversions across desktop, mobile, and connected TV. You can onboard first-party customer lists, match them to impressions, and measure incremental lift using holdout tests. The platform integrates with LiveRamp and Neustar for identity resolution, so you're not locked into a single data provider.

Attribution models include first-touch, last-touch, linear, time-decay, and custom algorithmic weighting. You can compare models side-by-side to see how credit allocation changes. MediaMath also offers media mix modeling for teams that need aggregate-level measurement without user-level tracking—useful in privacy-restricted environments.

High Minimum Spend and Complex Setup

MediaMath requires a significant media commitment (typically $50K+/month) and a dedicated team to manage campaigns. It's not a self-serve platform. Onboarding takes 4–8 weeks, and you'll need technical resources to configure data feeds, attribution windows, and audience segments. Smaller brands or teams with limited budgets should consider lighter alternatives like Simpli.fi or Improvado.

Salesforce Data 360: Enterprise CDP with Built-In Attribution

Salesforce Data 360 (formerly Data Cloud) unifies customer data from CRM, marketing automation, commerce, service, and ad platforms into a single profile. It replaces Datalogix's audience onboarding and attribution features with a full customer data platform that integrates natively across the Salesforce ecosystem.

Unified Customer Profiles and Journey Analytics

Data 360 ingests data from Salesforce Marketing Cloud, Sales Cloud, Service Cloud, and external sources via pre-built connectors (Google Ads, Meta, Adobe Analytics, Snowflake, etc.). It stitches profiles using email, phone, and third-party identity graphs, then activates segments directly to ad platforms or email tools. Attribution runs inside Marketing Cloud Intelligence (formerly Datorama), which offers multi-touch models and marketing mix modeling.

If you already use Salesforce CRM and Marketing Cloud, Data 360 is the fastest path to unified attribution. Segments, campaigns, and conversions live in one system—no need to export CSVs or sync data warehouses manually.

Salesforce Lock-In and High Total Cost of Ownership

Data 360 works best inside the Salesforce ecosystem. If you use HubSpot, Marketo, or a custom martech stack, integration becomes complex and expensive. Licensing costs scale with data volume and user seats—enterprise contracts often exceed $100K/year. Marketing Cloud Intelligence is a separate SKU, so attribution isn't included in the base Data 360 price. Teams outside the Salesforce universe face steep implementation costs and vendor lock-in.

LiveRamp: Identity Resolution and Audience Onboarding at Scale

LiveRamp specializes in identity resolution—matching your first-party customer data to cookies, mobile IDs, and CTV households. It's the infrastructure layer that powers audience activation across DSPs, social platforms, and publishers. If Datalogix's core value was connecting offline purchase data to digital impressions, LiveRamp is the modern version of that capability.

RampID: Persistent Cross-Device Identity Graph

LiveRamp's RampID creates a pseudonymous identifier for each consumer, linking email, phone, postal address, cookie, and mobile ad ID into one record. You upload customer lists (hashed or encrypted), and LiveRamp matches them to 250+ distribution partners—including Google, Meta, The Trade Desk, Amazon, Disney, and NBCUniversal. Match rates typically hit 60–80% for email-based lists.

LiveRamp also offers Data Marketplace access, where you can license third-party audience segments (purchase intent, demographics, lifestyle) to enrich your targeting. This replaces Datalogix's consumer purchase data cooperative—though with fewer offline retail partners than the original Oracle offering.

No Attribution or Reporting—Onboarding Only

LiveRamp doesn't measure campaign performance or attribute conversions. It's purely an identity and activation layer. You'll need a separate analytics platform (Google Analytics 360, Adobe Analytics, Improvado, etc.) to close the loop on attribution. That means stitching LiveRamp audience data with campaign performance data in your own warehouse—adding engineering overhead and latency.

Experian Marketing Services: Offline Data Leader

Experian combines credit bureau data with consumer marketing databases to power audience targeting and attribution. It's strongest for brands that need offline consumer insights—auto, financial services, telecom, retail—where purchase cycles are long and influenced by both digital and offline touchpoints.

Proprietary Consumer Purchase and Credit Data

Experian maintains detailed records on 300M+ US consumers, including transaction history, auto purchases, mortgage applications, insurance quotes, and retail spending. You can append demographic, psychographic, and behavioral attributes to your customer files, then activate segments across display, email, direct mail, and CTV. Experian's Audience Engine links these profiles to cookies and mobile IDs for digital activation.

Attribution runs through Experian's Tapad identity graph (acquired 2020), which uses device signals, Wi-Fi networks, and probabilistic modeling to connect smartphones, tablets, laptops, and CTVs to the same household. This is useful for measuring upper-funnel awareness campaigns where the exposed device differs from the conversion device.

Expensive and Slow for Digital-First Teams

Experian's pricing is opaque and typically requires six-figure annual commitments. Data onboarding and segment activation can take days or weeks—not real-time. If you're a digitally native DTC brand running performance campaigns on Meta and Google, Experian's offline data and slow refresh cycles add friction. It's better suited for enterprise brands with large offline footprints and long sales cycles.

Simpli.fi: Localized Attribution for Multi-Location Brands

Simpli.fi is a programmatic advertising platform built for local and regional campaigns. It offers addressable geo-fencing, CTV advertising, and store visit attribution—making it a strong fit for QSR, retail, healthcare, and automotive brands that need to measure foot traffic lift from digital ads.

Geo-Fencing and Store Visit Measurement

Simpli.fi uses location data from mobile apps to target users near your store locations, competitor locations, or custom geographic polygons. After serving an ad, it measures whether the user visited a physical location within a defined conversion window (1–30 days). This replicates part of Datalogix's in-store attribution capability—though with mobile location data instead of loyalty card transactions.

You can also set up addressable campaigns targeting specific households by postal address—useful for direct mail suppression, local event promotion, or franchise territory management. Simpli.fi integrates with Google Analytics and Facebook Pixel for digital conversion tracking, and supports CRM uploads for customer match targeting.

Limited to Programmatic and CTV—No Walled Garden Coverage

Simpli.fi doesn't run campaigns on Google, Meta, LinkedIn, or TikTok. It's a DSP for open-web display, video, and CTV inventory only. If you need unified attribution across paid social and programmatic, you'll have to stitch data manually or use a separate platform. It also lacks advanced identity resolution—customer onboarding works, but match rates are lower than LiveRamp or Experian.

Neustar MarketShare: Marketing Mix Modeling for Privacy-Safe Attribution

Neustar (now part of TransUnion) offers marketing mix modeling (MMM) and multi-touch attribution (MTA) for brands that need aggregate-level measurement without user-level tracking. It's the go-to choice for teams navigating iOS 14.5+ signal loss, GDPR constraints, or categories where deterministic attribution isn't feasible (TV, radio, outdoor, print).

Econometric Models That Don't Rely on Cookies

MarketShare builds regression models using aggregated campaign spend, impressions, GRPs, and business outcomes (sales, revenue, store visits, web conversions). It isolates the incremental impact of each channel, accounting for seasonality, promotions, macroeconomic trends, and competitive activity. You get channel-level ROAS estimates and budget optimization recommendations—without needing pixel tracking or user consent.

This approach works well for CPG, retail, auto, and financial services brands that invest heavily in TV, radio, and out-of-home. Neustar also offers identity resolution (Neustar Fabrick) for teams that want both MMM and MTA in one platform.

Slow Refresh Cycles and High Analyst Involvement

MMM models typically refresh monthly or quarterly—not daily. You can't optimize campaigns in real-time based on MarketShare output. It's a planning and strategic measurement tool, not an operational dashboard. Implementation requires 8–12 weeks of data science work to calibrate models, and ongoing analyst support to interpret results. Smaller teams without econometrics expertise will struggle to extract value without consulting help.

The Trade Desk: Programmatic DSP with Unified ID 2.0

The Trade Desk is the largest independent demand-side platform, offering programmatic access to display, video, audio, CTV, and digital out-of-home inventory. It's replacing third-party cookies with Unified ID 2.0 (UID2), an open-source identity framework built on hashed and encrypted email addresses.

Unified ID 2.0: Privacy-First Alternative to Cookies

UID2 lets users log in with email on publisher sites, then grants permission for ad targeting and measurement. Publishers and advertisers share a common identifier without exposing raw email addresses. The Trade Desk uses UID2 to enable frequency capping, sequential messaging, cross-device targeting, and conversion attribution—all without relying on third-party cookies or mobile ad IDs.

Over 200 publishers and identity providers have adopted UID2, including Disney, Spotify, and The Washington Post. If you're preparing for a post-cookie future, The Trade Desk offers the most scaled alternative. You can onboard first-party customer lists, activate them across programmatic inventory, and measure performance using UID2-based attribution.

Self-Serve Only—No Managed Service Option

The Trade Desk is built for experienced programmatic buyers. There's no managed service tier or agency support included in the platform fee (which runs 15–20% of media spend). You need in-house expertise to set up campaigns, manage bidding strategies, and troubleshoot data feeds. Smaller teams or first-time programmatic advertisers will face a steep learning curve.

Attribution.com: Multi-Touch Attribution for Paid Media Teams

Attribution.com (formerly known as C3 Metrics) offers multi-touch attribution and incrementality testing for paid media campaigns. It's designed for performance marketers who need granular, user-level attribution across Google, Meta, TikTok, Snapchat, and programmatic channels—without relying on platform-reported conversions.

Randomized Incrementality Testing Built Into the Platform

Attribution.com runs geo-based or user-based holdout tests to measure the true incremental lift of each campaign. It compares conversion rates between exposed and control groups, isolating the causal impact of your ads. This is more rigorous than last-click or even multi-touch models, which only redistribute credit without proving incrementality.

The platform also supports cross-device attribution using deterministic email matching and probabilistic device graphs. You can set custom attribution windows (1-day, 7-day, 30-day) per channel, and compare platform-reported conversions to Attribution.com's deduplicated, unified view.

No Audience Activation or Identity Resolution Features

Attribution.com measures performance but doesn't activate audiences. You can't push segments to ad platforms or use it as a CDP. It integrates with your existing data sources (Google Ads, Meta, Salesforce, Shopify) but doesn't replace LiveRamp, Segment, or your data warehouse. If you need both measurement and activation, you'll still need a separate identity resolution platform.

Rockerbox: Attribution and Reporting for DTC Brands

Rockerbox is a marketing attribution and analytics platform built for direct-to-consumer e-commerce brands. It tracks the customer journey from first ad impression to purchase, then attributes revenue across channels using multi-touch models. It's lighter-weight and faster to implement than enterprise platforms like Neustar or Salesforce.

E-Commerce-Native Attribution with Shopify and Klaviyo Integration

Rockerbox integrates natively with Shopify, WooCommerce, BigCommerce, Klaviyo, Attentive, and 100+ ad platforms. Setup takes 1–2 weeks, not months. You connect your ad accounts, install a JavaScript pixel on your site, and Rockerbox begins tracking impressions, clicks, and conversions. It deduplicates conversions across platforms (so you're not double-counting a purchase reported by both Google and Meta) and shows true incremental ROAS per channel.

Rockerbox also offers marketing mix modeling for brands that advertise on TV, podcast, or influencer channels where pixel-based tracking doesn't work. You can combine MTA and MMM in one view to compare user-level and aggregate-level insights.

Best for E-Commerce Only—Limited B2B or Lead-Gen Support

Rockerbox is optimized for transaction-based attribution. If you're a B2B SaaS company, lead-gen advertiser, or multi-step sales cycle business, the platform lacks the CRM and pipeline attribution features you need. It doesn't integrate with Salesforce opportunities, HubSpot deals, or custom conversion events beyond e-commerce purchases. For those use cases, Improvado or HockeyStack are better fits.

Improvado: Marketing Data Infrastructure with Attribution as One Layer

Improvado is a marketing data platform that centralizes campaign performance, CRM, web analytics, and attribution data in one pipeline. It's the only platform on this list that replaces both the data integration work and the attribution logic—so you're not stitching together LiveRamp + The Trade Desk + a custom warehouse + a BI tool.

500+ Pre-Built Data Sources—Ad Platforms, CRM, Analytics, and Offline

Improvado connects Google Ads, Meta, LinkedIn, TikTok, Snapchat, Pinterest, programmatic DSPs, Salesforce, HubSpot, Google Analytics, Adobe Analytics, Shopify, and 500+ other sources. Data flows into your warehouse (Snowflake, BigQuery, Redshift) or directly into your BI tool (Looker, Tableau, Power BI). You don't write API scripts or maintain connector code—Improvado handles schema changes, rate limits, and backfills automatically.

The platform also supports offline data ingestion via CSV, SFTP, or direct database connections. You can unify POS sales, call center conversions, or event registrations with your digital campaign data—recreating the closed-loop attribution that Datalogix provided.

Marketing Cloud Data Model: Pre-Built Attribution Logic

Improvado's Marketing Cloud Data Model (MCDM) includes pre-built transformations for multi-touch attribution, campaign grouping, UTM parsing, and channel standardization. You don't need a data engineering team to build attribution models from scratch. The platform ships with first-touch, last-touch, linear, time-decay, and position-based models—plus the flexibility to define custom rules.

Marketing Data Governance validates budgets, flags duplicate campaigns, and enforces naming conventions before data reaches your reports. This prevents the attribution errors that break when someone forgets a UTM parameter or launches a campaign with the wrong tracking setup.

Not a DSP or Identity Graph—Focused on Data Infrastructure

Improvado doesn't run ads or activate audiences. It's the data layer that sits upstream of your BI tool, data warehouse, or analytics platform. If you need audience onboarding or identity resolution, you'll integrate Improvado with LiveRamp, Segment, or your CDP. But for teams that already have activation handled and just need clean, unified data for attribution and reporting, Improvado eliminates the custom ETL work entirely.

Datalogix Alternatives Comparison Table

How to Get Started with a Datalogix Alternative

Choosing a replacement starts with defining what you actually used Datalogix for. If you need audience onboarding and activation, LiveRamp or Experian are direct replacements. If you need attribution and measurement, start with MediaMath, Neustar, or Improvado. If you need both, you'll either pay for two platforms—or choose a unified solution that handles data integration, identity, and attribution in one stack.

Here's a practical decision framework:

Step 1: Audit your current attribution and audience workflows. List every place you currently use audience segments or attribution data. Who consumes it? What decisions does it inform? Where does the data come from (CRM, ad platforms, offline transactions)? Map the flow from raw data to activated audience or attribution report.

Step 2: Identify your primary use case. Is it measuring ROAS across channels? Activating lookalike audiences? Suppressing existing customers? Attributing offline sales to digital ads? Most platforms excel at one of these but require custom work for the others. Prioritize the use case that drives the most revenue or strategic decisions.

Step 3: Evaluate integration complexity. How many data sources do you need to connect? Do the platforms you're evaluating offer pre-built connectors, or will you need engineering resources to build custom integrations? Calculate the true cost: platform fees plus engineering time plus ongoing maintenance.

Step 4: Test incrementality, not just attribution models. Attribution models redistribute credit but don't prove causality. Before committing to a platform, run a holdout test or geo experiment to validate that the attributed conversions are actually incremental. Platforms like MediaMath, Attribution.com, and Neustar support this natively; others require manual test design.

Step 5: Plan for a privacy-first future. Third-party cookies are deprecated in Chrome (2024–2025), iOS limits mobile attribution, and GDPR/CCPA restrict data sharing. Choose a platform that supports first-party data activation (email-based targeting, server-side tracking) and aggregate measurement (MMM, privacy-safe attribution APIs). Avoid solutions that rely entirely on third-party cookies or deterministic mobile tracking.

Conclusion

Datalogix is gone, but the need for closed-loop attribution and audience activation hasn't disappeared. The platforms that replaced it fall into three categories: attribution specialists (MediaMath, Neustar, Attribution.com), identity resolution vendors (LiveRamp, Experian), and marketing data infrastructure (Improvado). Most teams now need a combination of all three to replicate what Datalogix offered in one package.

If you're choosing based on attribution methodology alone, MediaMath and Neustar lead for cross-channel measurement. If identity resolution and audience onboarding are your priority, LiveRamp and Experian deliver the most scale. But if you need both attribution and the data infrastructure to support it—without stitching together multiple vendors and writing custom ETL code—Improvado is the only platform on this list that unifies the entire stack.

The right alternative depends on your budget, technical resources, and how much of the workflow you want to own versus outsource. Evaluate based on what you need tomorrow, not what Datalogix offered five years ago. Privacy regulations, walled gardens, and signal loss have fundamentally changed how attribution works—make sure the platform you choose is built for 2026, not 2016.

Frequently Asked Questions

Why did Oracle shut down Datalogix?

Oracle acquired Datalogix in 2014 as part of its Oracle Data Cloud strategy, which aimed to compete with Google and Facebook in advertising data. By 2020, Oracle decided to exit the advertising technology business entirely, shutting down Data Cloud and its associated products (Datalogix, BlueKai, AddThis). The decision reflected Oracle's strategic shift toward cloud infrastructure and enterprise SaaS, away from ad tech. Customers were given 6–12 months to migrate to alternative platforms.

Which platform is the closest functional replacement for Datalogix?

MediaMath by Infillion is the closest overall replacement, offering cross-channel attribution, audience activation, and identity resolution in one platform. Salesforce Data 360 is the best alternative for enterprise teams already using Salesforce CRM and Marketing Cloud. LiveRamp is the strongest choice if your primary need is identity resolution and audience onboarding, but it doesn't include attribution or reporting—you'll need a separate analytics platform for that.

How do modern attribution platforms handle privacy regulations like GDPR and CCPA?

Most platforms now use a combination of first-party data (hashed email, phone), consent-based tracking, and aggregate measurement techniques. Unified ID 2.0 (used by The Trade Desk and others) requires user login and explicit consent for ad targeting. Marketing mix modeling (offered by Neustar, MediaMath, and Rockerbox) doesn't rely on user-level tracking at all—it uses aggregate spend and outcome data to model channel impact. Platforms like Improvado support server-side tracking and privacy-safe data transformations to comply with GDPR, CCPA, and SOC 2 requirements.

Can I still measure offline sales lift from digital ads without Datalogix?

Yes. Platforms like Experian, LiveRamp, and Simpli.fi support offline attribution by linking first-party customer transaction data to digital ad exposure. You upload purchase records (hashed for privacy), and the platform matches them to users who saw or clicked your ads. Neustar's marketing mix modeling can also estimate offline sales lift at an aggregate level without user-level tracking. The Trade Desk and MediaMath support CRM onboarding for closed-loop attribution when you integrate POS or transaction data.

What's the difference between multi-touch attribution and incrementality testing?

Multi-touch attribution redistributes conversion credit across touchpoints in the customer journey—but it assumes every touchpoint contributed to the outcome. Incrementality testing measures the causal impact of a campaign by comparing outcomes between an exposed group and a control group that didn't see the ad. MTA tells you where to allocate credit; incrementality tells you whether the campaign actually drove incremental conversions. Platforms like Attribution.com, MediaMath, and Neustar support both. For rigorous measurement, run incrementality tests to validate your MTA models.

Should I build a custom attribution solution or buy a platform?

Build if you have a dedicated data engineering team, a mature data warehouse, and highly specific attribution logic that no vendor supports. Buy if you need attribution running in weeks (not quarters), don't want to maintain API connectors for 50+ ad platforms, or lack in-house expertise in identity resolution and econometric modeling. The hidden cost of building is ongoing maintenance—every API change, schema update, or new ad platform requires engineering work. Platforms like Improvado handle that automatically with 500+ pre-built connectors and a support team that manages schema changes for you.

Do I need a data warehouse to use these platforms?

It depends on the platform. LiveRamp, MediaMath, and The Trade Desk are self-contained—they don't require a warehouse. Improvado, Rockerbox, and Attribution.com typically integrate with your warehouse (Snowflake, BigQuery, Redshift) to centralize data, but some offer direct BI tool connections if you don't have warehouse infrastructure yet. Neustar's MMM and Salesforce Data 360 include storage and analytics layers, so you don't need separate warehouse licenses. If you're just starting out and don't have a data team, choose platforms with built-in reporting (Rockerbox, MediaMath) or managed services (Improvado).

What's the typical cost range for a Datalogix alternative?

Pricing varies widely by platform type. Identity resolution platforms (LiveRamp, Experian) charge based on CPM (cost per thousand records matched), typically $1–$5 CPM depending on match rate and data source. DSPs like MediaMath and The Trade Desk charge 15–20% of media spend, with minimum monthly commitments of $5K–$50K. Attribution platforms (Neustar, Attribution.com, Rockerbox) range from $2K/month for small e-commerce brands to $150K+/year for enterprise MMM consulting. Marketing data platforms like Improvado use custom pricing based on data volume and connector count, typically starting at mid-five-figures annually for mid-market teams.