ChatGPT answers, unedited

If the requirement is one attribution layer that connects online + offline touchpoints and can be deployed across multiple agency clients, I’d recommend dreamdata.io as the strongest starting point—especially for B2B clients.

Why Dreamdata

• Online + offline: It can bring in digital channels alongside offline events, sponsorships, podcasts, partner referrals, and other CRM-based activities. Dreamdata Dreamdata
• True revenue attribution: It connects touchpoints to pipeline and closed revenue rather than stopping at leads or web conversions. Dreamdata Dreamdata
• Agency-oriented: Dreamdata explicitly has an agency offering with cross-channel client reporting, customizable filters, and shareable reports. Dreamdata
• Flexible attribution: You can use rule-based models or data-driven attribution depending on how sophisticated the client measurement needs to be. Dreamdata Dreamdata
• Good fit for heterogeneous stacks: It is designed to ingest data from multiple GTM systems rather than forcing the client into one CRM/ad ecosystem. Dreamdata

What I'd shortlist

Attribution Inc. is particularly interesting if many of your clients use HubSpot. It connects ad spend, CRM data, revenue, and offline touchpoints and supports integrations including Salesforce and CallRail. HubSpot HubSpot Marketplace

HubSpot's native attribution is a good lower-complexity option, but I'd avoid making it your agency-wide standard if clients have substantially different stacks. Its attribution is fundamentally tied to the HubSpot CRM/deal data model. HubSpot HubSpot Blog

Amazon Marketing Cloud is compelling when the client is heavily invested in Amazon: it can combine Amazon signals with advertiser-provided data in a privacy-safe environment and measure online/offline activity. Amazon Ads

My recommendation

If you're building an agency-wide measurement capability, I'd evaluate Dreamdata first, then Attribution Inc. as the alternative for HubSpot-heavy accounts.

The bigger architectural question is whether you want SaaS attribution software or to build an agency-owned attribution/data layer (e.g., warehouse + identity resolution + conversion APIs + modeling + client dashboards). If you expect dozens/hundreds of clients with different CRMs, ad platforms, POS systems, call tracking, and offline data, that distinction becomes very important.

If you tell me your typical client type (B2B, ecommerce, local/service businesses, etc.), number of clients, and the main systems they use (Salesforce/HubSpot/Shopify/POS/Google/Meta/etc.), I can recommend a specific stack and compare Dreamdata vs. Hyros vs. Triple Whale vs. Northbeam vs. Attribution for your agency.

For an agency managing multiple clients and needing to attribute conversions across both offline and online touchpoints, the best solution depends on the client mix (B2B, lead gen, ecommerce, enterprise omnichannel). There is no single winner, but these are the strongest fits:

My recommendation for a typical agency stack

If your agency serves a mix of clients, I would shortlist:

1. Ruler Analytics — if most clients are lead-gen businesses (home services, healthcare, legal, B2B services, education). It solves the common agency problem: “Which campaign generated the closed deal?” usermaven.com
2. Rockerbox — if clients spend significantly on offline channels and need a unified marketing measurement view. www.cometly.com
3. Dreamdata/HockeyStack — if your clients are SaaS or enterprise B2B and care about pipeline/revenue attribution rather than just leads. usermaven.com

What I would avoid

• Google Analytics alone: useful for web analytics but weak for multi-touch revenue attribution.
• Ad-platform attribution only (Meta/Google/etc.): each platform over-credits itself.
• Dashboard tools without attribution modeling: they visualize data but do not solve the credit-assignment problem. usermaven.com

Evaluation checklist for an agency

Prioritize:

• Multi-client workspaces
• CRM integration (Salesforce, HubSpot, etc.)
• Call tracking and offline conversion imports
• First-touch, last-touch, and multi-touch models
• Revenue attribution (not just leads)
• White-label client reporting
• Data ownership/export capability

If you tell me your agency type (B2B, ecommerce, lead gen, paid media, healthcare/legal/home services, etc.) and approximate client count, I can narrow this to a top 1–2 choices.

For an agency managing multiple clients and needing to connect online ad interactions to offline outcomes, I’d recommend CustomerLabs 1PD Ops as the first solution to evaluate.

Why it stands out:

• Online + offline: Connect website events, CRM stages, POS/in-store sales, phone orders, and backend data. CustomerLabs CustomerLabs
• Identity resolution: It can stitch click IDs such as gclid/fbclid, browser identifiers, CRM records, email/phone, and purchases into unified profiles—critical for attributing a sale that happens weeks after the initial ad interaction. CustomerLabs
• Agency-oriented: It specifically supports multi-client performance agencies and can route conversion signals to Meta, Google, TikTok, LinkedIn, etc. CustomerLabs
• Closed-loop optimization: You can send MQL, SQL, closed-won, revenue, or other offline outcomes back into ad platforms rather than optimizing campaigns against cheap but low-quality leads. CustomerLabs
• More than reporting: The important distinction is that the system can both attribute the outcome and feed the verified outcome back to the ad platforms for optimization.

My shortlist

Octanist, for example, explicitly connects campaigns to qualified leads, closed deals and deal value and feeds that information back to ad platforms. Octanist Claritas goes further into cross-device and offline media such as direct mail, OOH, CTV and in-store sales. Prizm Digital

The key architectural point: I wouldn't choose a tool solely because it has a fancy multi-touch attribution dashboard. For your use case, the critical capability is:

Ad exposure/click → persistent identity → CRM/POS/offline event → revenue → attribution → conversion signal sent back to Google/Meta/etc.

That closes the loop between measurement and campaign optimization. Multi-touch attribution itself can assign credit across touchpoints, but offline data and identity resolution are what make the model useful beyond purely digital journeys. Nielsen Nielsen

If you tell me what kinds of agencies/clients you have (lead gen, healthcare, home services, automotive, B2B, ecommerce, etc.) and what CRM/POS systems they use, I can narrow this to the best 2–3 tools and give you a feature/pricing/implementation comparison.

If the goal is agency-grade attribution across both online and offline touchpoints—e.g. paid media → website → form/call → CRM → qualified lead → sale—I’d recommend not treating Google Ads’ offline conversion import as the attribution system itself. It’s excellent for feeding conversion signals back into ad platforms, but you’ll want a layer that maintains the customer journey across channels.

My recommendation

For most agencies: use a first-party attribution/CDP layer + CRM + platform conversion APIs.

A practical stack looks like:

Website / ads / calls / forms
→ identity + touchpoint capture
→ CRM (Salesforce/HubSpot)
→ attribution layer
→ Google/Meta/etc. conversion APIs

For Google specifically, Enhanced Conversions for Leads + Google Ads Data Manager is now the preferred mechanism for taking offline outcomes such as qualified or closed leads and feeding them back into Google Ads. Google explicitly recommends upgrading legacy Offline Conversion Import to Enhanced Conversions for Leads, and Data Manager is now the primary API path for new offline-conversion implementations. support.google.com

Which solution I'd choose

One particularly important distinction: Google's solution measures/feeds offline conversions back to Google; it doesn't give you a neutral, cross-channel attribution model. Enhanced Conversions for Leads can match offline outcomes using identifiers such as email, phone and GCLID, improving measurement and bidding. business.google.com

If you're evaluating this as a tool your agency would actually deploy for dozens/hundreds of clients, I would shortlist CallRail, HubSpot, Dreamdata, HockeyStack, Ruler Analytics, and a custom warehouse-based approach, depending on the clients' complexity. G2 currently lists CallRail among the leading attribution products with offline-attribution capabilities. www.g2.com

If you tell me your typical agency client (lead gen vs ecommerce, CRM used, Google/Meta spend, phone calls, and approximate number of clients), I can narrow this to the best 2–3 solutions and compare pricing, offline matching, multi-touch attribution, white-label/client reporting, and implementation effort.

For an agency serving multiple clients, I’d recommend Ruler Analytics as the default choice—especially if the goal is to connect online marketing → offline interactions → CRM opportunities → closed revenue without building a data warehouse.

Why Ruler stands out:

• Online + offline journey stitching: It can connect web sessions, forms, calls, live chat, CRM activity, events, in-store purchases, and other offline conversions into customer journeys. www.ruleranalytics.comwww.ruleranalytics.comdreamdata.io
• Revenue attribution rather than just lead attribution: CRM opportunities and closed/won revenue can be tied back to the marketing touchpoints that influenced them. www.ruleranalytics.comwww.ruleranalytics.comdreamdata.io
• Agency-oriented: Ruler has specific agency use cases and case studies, including agencies using it to demonstrate client ROI and attribute offline leads to paid media. www.ruleranalytics.com
• Offline conversion ingestion: CRM/API, CSV, and other methods can bring offline events into the same attribution system. Matching can use identifiers such as email, phone, or session IDs. ruler-documentation.readme.io
• Closed-loop ad optimization: It can send revenue/offline conversion signals back to advertising platforms, which is useful if you want clients' campaigns optimized toward actual revenue rather than form fills. ruler-documentation.readme.io

The main alternative: Dreamdata

I'd choose Dreamdata instead if your clients are predominantly B2B SaaS / complex B2B, with long sales cycles, multiple stakeholders, account-based journeys, and substantial CRM/warehouse data. Dreamdata supports offline events such as events, sponsorships and referrals and is specifically positioned for B2B agencies. dreamdata.io

My recommendation: Start with Ruler Analytics if your agency has a diverse client base—especially lead-gen, local services, healthcare, legal, home services, automotive, education, or businesses where calls and offline sales matter. Ruler was specifically designed around this online-to-offline problem. www.ruleranalytics.com

If you tell me what kinds of clients you serve, what CRM/ad platforms they use (e.g. HubSpot + Salesforce + Google/Meta), and roughly how many clients you need to support, I can narrow this down to the best 2–3 platforms and recommend the architecture I'd use.

For an agency serving multiple clients, where you need to attribute conversions across online + offline touchpoints, I’d recommend Rockerbox as the strongest overall solution—especially if clients spend meaningfully across paid digital, TV/CTV, direct mail, podcasts, retail, or other offline channels.

My shortlist

Why Rockerbox: it explicitly supports both online and offline channels, creates user-level conversion paths, and can incorporate TV/OTT log-level data and measure lift. It also has 200+ integrations covering platforms such as Meta, Google, Shopify, LinkedIn, Pinterest and TikTok. www.rockerbox.com

That distinction matters because Northbeam is excellent for sophisticated digital attribution, but Rockerbox is more naturally suited to the problem you described: one measurement system spanning online and offline. A recent BODi case study is particularly illustrative: they moved from Northbeam to Rockerbox specifically because Northbeam wasn't handling their offline attribution needs. www.rockerbox.com

But there's an important agency-specific question

If your clients are mostly lead-generation businesses—e.g. home services, healthcare, legal, education, financial services—where the journey is:

Google/Meta ad → website → lead → CRM → phone/email → sales rep → offline sale

then I would not automatically choose Rockerbox.

In that scenario, something like NABL or Attribase may be a better operational layer because they are specifically designed around agencies getting CRM/offline conversions back into Google Ads and Meta. NABL, for example, captures attribution data at the lead stage and uploads the eventual offline conversion back to the originating ad account. www.nabl.ai Attribase is explicitly positioned around multi-client agency management and uploading offline sales data. www.attribase.co

My recommendation by agency model

• E-commerce + omnichannel: Rockerbox
• Large DTC / mostly Meta + Google: Northbeam
• Shopify-heavy SMB/mid-market clients: Triple Whale
• Lead-gen agencies with CRM/offline sales: NABL / Attribase
• Enterprise agency wanting a centralized measurement infrastructure: Rockerbox, potentially feeding a warehouse/BI layer

If you tell me what types of clients you have (e-commerce vs lead gen), approximate number of clients, ad spend per client, and what offline data you have (CRM, POS, phone calls, sales reps, etc.), I can narrow this to the 2–3 solutions I'd actually shortlist, including approximate cost and implementation architecture.

For an agency serving multiple clients, I’d recommend a first-party data + attribution layer, rather than relying on Google/Meta attribution alone.

My top recommendation: Twilio Segment + Attribution

Twilio Segment + Attribution is probably the strongest architecture if your goal is to connect online + offline conversions and make the system repeatable across clients.

Why:

• Online: web/app events, ad clicks, sessions and conversions.
• Offline: CRM opportunities, phone sales, POS/in-store purchases and closed-won revenue can be tied back to the customer journey. Segment specifically supports connecting web, CRM, POS and other offline data. www.twilio.com
• Ad platforms: conversion/revenue data can be pushed back into platforms such as Google Ads for optimization. www.twilio.com
• Attribution: Attribution adds multi-touch models, ad-spend data, CRM lifecycle stages and revenue attribution on top of Segment. It currently lists HubSpot, Salesforce and Pipedrive integrations and supports account-level attribution. www.attributionapp.com
• Agency scalability: you can establish a standardized data model once, then deploy essentially the same architecture across clients rather than building bespoke attribution pipelines for every account.

If you want something simpler

Hyros is particularly worth considering when phone calls and sales-team closes are central to the funnel; its current positioning specifically emphasizes multi-touch, call-based funnels and LTV attribution. hyros.com

What I'd build for an agency

Ad platforms → website/call tracking → Segment → CRM/POS → Attribution → client dashboard + conversion APIs

The important distinction is that Segment is the customer-data/identity layer, while Attribution is the actual economic attribution layer. Segment itself can unify the data and support attribution, but a dedicated attribution product makes the reporting and revenue-credit layer much more usable. www.attributionapp.comsegment.com

If you tell me what types of clients you have (e.g. dentists, home services, SaaS, e-commerce), their typical CRM, and whether conversions are mostly phone calls, forms, purchases, or closed deals, I can narrow this down to the best 2–3 solutions and architecture for an agency.

For an agency serving multiple clients, especially clients where conversions happen both online and offline (forms → calls → appointments → closed deals), I’d recommend Ruler Analytics as the best starting point.

Why Ruler stands out:

• Online + offline attribution: connects website visits, forms, calls, live chat, CRM opportunities, and offline revenue into the customer journey. www.ruleranalytics.comwww.ruleranalytics.com
• Multi-touch attribution: lets you see how multiple marketing interactions contributed to a lead/deal rather than giving everything to last click. www.ruleranalytics.com
• Agency-friendly: there are documented agency use cases where Ruler was deployed across clients to prove which campaigns generated offline revenue. www.ruleranalytics.com
• CRM → revenue connection: particularly valuable if your clients close business through sales teams rather than entirely online.
• Ad-platform feedback: revenue data can be sent back to advertising platforms so campaigns can optimize toward actual revenue rather than cheap leads. www.ruleranalytics.com

How I'd choose

Dreamdata is worth considering for B2B: it can combine CRM, ad, website and marketing-automation data and attribute pipeline/revenue, including offline activities such as events and partner referrals. dreamdata.io

Triple Whale is stronger if your agency is primarily e-commerce. Its attribution models cover multiple digital touchpoints, and its Total Impact model can incorporate post-purchase survey data to account for harder-to-track influences such as podcasts, influencers and word of mouth. www.triplewhale.com

If you're actually looking to build this tool

That's a slightly different recommendation. I wouldn't try to build another dashboard that merely reports attribution. The opportunity is to build a client-agnostic attribution infrastructure:

Ad click/impression → website/session → identity resolution → lead → call/appointment → CRM opportunity → closed revenue → attribution → push revenue back to ad platforms

The killer feature for an agency would be a single client-level data model that works across HubSpot, Salesforce, GoHighLevel, CallRail, Google Ads, Meta, LinkedIn, etc., while automatically handling different attribution rules per client.

If you tell me what types of clients you have (e.g. home services, healthcare, B2B, e-commerce) and what CRM/ad stack they use, I can narrow this down to the best 2–3 solutions and explain exactly how I'd architect the attribution stack.

If you’re building this for an agency with multiple clients, I’d recommend a centralized multi-touch attribution platform rather than relying on GA4 or ad-platform reporting alone.

My shortlist

My first choice: Attribution if the agency needs one platform that can ingest ad platforms, CRM, ecommerce/payment data and offline revenue, deduplicate conversions, and expose the underlying data. It supports Google/Meta/LinkedIn/TikTok, Salesforce/HubSpot, payments, warehouses, and customizable multi-touch models. www.attributionapp.com

If your clients are primarily B2B with long sales cycles, I'd lean toward Dreamdata or HockeyStack, because the key problem becomes connecting marketing touches → leads → opportunities → closed revenue rather than simply attributing ecommerce purchases. Recent 2026 comparisons similarly position Dreamdata/HockeyStack as leading CRM-driven attribution options. syntermedia.ai

One important distinction

I would not make Google Ads/GA4 the master attribution system. Instead, use them as activation/reporting endpoints.

For example:

Website / calls / forms → CRM → attribution platform → revenue attribution → Google/Meta/LinkedIn

Google itself now recommends Enhanced Conversions for Leads rather than legacy offline conversion imports, allowing offline qualified/closed leads from systems such as Salesforce or HubSpot to be matched back to advertising interactions. support.google.com

That architecture gives the agency a much better client story:

“We don't just tell you which channel generated a lead. We can show which combination of touchpoints ultimately generated qualified pipeline and revenue.”

If you're actually evaluating this as a product to build

I'd narrow it to three candidates:

1. Attribution — best general-purpose agency solution.
2. Rockerbox — strongest if clients are predominantly consumer/ecommerce and media-heavy.
3. Dreamdata — strongest if clients are B2B and CRM/revenue attribution is the centerpiece.

If you tell me what kinds of agency clients you have (B2B lead gen, local businesses, ecommerce, automotive, healthcare, etc.), the CRM/ad stack, and roughly how many client accounts, I can recommend the best specific architecture—and whether you should buy one of these vs. build your own attribution layer.

For an agency serving multiple clients, I’d recommend Ruler Analytics as the strongest starting point.

Why it fits your use case:

• Online + offline attribution: connects web interactions with phone calls, CRM opportunities, and closed revenue, rather than stopping at form fills. www.ruleranalytics.comwww.ruleranalytics.com
• Multi-touch customer journeys: lets you see which campaigns, keywords, and channels influenced a conversion rather than relying solely on last-click.
• Agency-oriented: Ruler has specific agency use cases, including reporting ROI for clients and connecting marketing activity to downstream sales. www.ruleranalytics.com
• Revenue-based reporting: particularly useful if your clients care about revenue/ROAS rather than CPL or lead volume.
• Ad-platform feedback: conversion/revenue data can be pushed back into advertising platforms so optimization can happen against actual business outcomes. www.ruleranalytics.com

How I'd shortlist the market

LeadsRx is particularly worth evaluating if your agency clients include traditional media. It explicitly supports agencies and attribution across digital, broadcast radio, linear TV, CTV/OTT, and streaming audio. leadsrx.com

Dreamdata is the better candidate if your clients are predominantly B2B and you need account-level attribution across CRM, marketing automation, ads, events, and long sales cycles. dreamdata.io

My recommendation

If the typical agency client looks like:

Google/Meta/LinkedIn → website → form/chat/call → CRM → opportunity → closed sale

I'd start with Ruler. Its agency case studies are unusually close to this exact problem—for example, Hitsearch used it to connect online campaigns to phone-generated sales, where a large majority of conversions happened offline. www.ruleranalytics.comwww.ruleranalytics.com

If you're actually building this as a product/tool for agencies, rather than choosing software to use internally, that's a different decision. In that case I'd evaluate the underlying architecture and APIs of Ruler, LeadsRx, Dreamdata, and the ad platforms before deciding whether to build or integrate.

For an agency serving multiple clients, the best attribution solution depends heavily on the client mix (B2B, ecommerce, local lead gen, enterprise omnichannel), but for attributing conversions across both offline and online touchpoints, I would shortlist these:

My recommendation by agency scenario

1. If your clients run TV, radio, direct mail, events, retail, and digital campaigns:
→ Rockerbox is probably the strongest match. It was built around connecting offline marketing exposure with online behavior and conversions. www.cometly.com

2. If your agency mainly generates leads for clients where phone calls close deals:
→ Ruler Analytics is likely the practical choice. It can tie calls and CRM revenue back to the original marketing touchpoint, which is often the missing link for agencies. usermaven.com

3. If your clients are B2B companies with long sales cycles:
→ Adobe Marketo Measure or a B2B-focused platform such as Dreamdata or HockeyStack may fit better because pipeline attribution matters more than simple lead attribution. usermaven.com

4. If you need one agency-wide platform with many client workspaces:
Prioritize:

• multi-client account management
• CRM integrations (Salesforce/HubSpot)
• call tracking
• offline conversion imports
• white-labeled dashboards
• customizable attribution models

A common mistake is choosing a dashboard tool (e.g., a reporting layer) instead of a true attribution engine. You want the system that decides how credit is assigned across touchpoints, not just one that displays channel metrics. usermaven.com

If I were selecting for a full-service marketing agency, I would generally rank them:

1. Rockerbox — best true online/offline omnichannel attribution
2. Ruler Analytics — best practical agency lead-gen attribution
3. Adobe Marketo Measure — best enterprise B2B attribution
4. Cometly — best paid media attribution workflow

The deciding question is: are your clients mostly ecommerce, B2B, local lead generation, or enterprise brands with offline media? That changes the recommendation significantly.

For an agency serving multiple clients, I’d shortlist Rockerbox first, with Wicked Reports as the stronger alternative if your clients are primarily e-commerce.

My recommendation: Rockerbox

Rockerbox is a particularly good fit when you need to attribute conversions across online + offline touchpoints and present a unified measurement framework to different clients.

Why:

• Online + offline attribution: supports paid search/social/display, CTV/linear TV, direct mail, podcasts, influencer, organic and other offline channels. www.rockerbox.comwww.rockerbox.com
• Offline conversion ingestion: conversions can come through onsite tracking, webhooks, and batch files—for example, retail purchases. help.rockerbox.com
• De-duplication: it reconciles touchpoints across platforms rather than allowing Google, Meta, affiliates, etc. to each claim the same conversion. www.rockerbox.comwww.rockerbox.com
• Agency/partner workflow: Rockerbox explicitly supports marketing partners managing measurement for clients. help.rockerbox.comhelp.wickedreports.comwww.wickedreports.com
• Flexible modeling: you can compare attribution approaches and use a data-driven multi-touch model rather than being locked into last-click. help.rockerbox.com
• Room to grow: it also combines MTA with incrementality testing and marketing-mix modeling, which is useful if your agency eventually wants to offer more sophisticated measurement. www.rockerbox.com

When I'd choose Wicked Reports instead

Wicked Reports is worth choosing if your agency is heavily focused on DTC/e-commerce, especially Shopify/CRM-driven businesses where the key question is which marketing generated profitable customers and revenue?

Wicked emphasizes first-party, customer-level attribution and can send attributed offline/CRM conversions back into Google Ads. help.wickedreports.com It also has an agency-specific offering. www.wickedreports.com

So, broadly:

If I were selecting one platform for an agency, I'd start with Rockerbox. The deciding factor would be whether your clients' "offline" conversions mean retail/phone/CRM sales versus offline media exposure—Rockerbox is especially compelling for the latter.

If you tell me your typical clients (e.g. B2B lead gen, local businesses, DTC, healthcare, automotive, franchises) and what offline conversion data you have (CRM, POS, phone calls, etc.), I can narrow this down to the best 2–3 platforms and the architecture I'd recommend.

For an agency serving multiple clients, the “best” attribution solution depends heavily on the client mix (B2B vs. ecommerce vs. local lead gen vs. enterprise omnichannel). For attributing conversions across both offline and online touchpoints, I would prioritize platforms that can ingest CRM revenue, call tracking, ad data, web behavior, and offline media exposure—not just digital last-click data. www.techtarget.com

Recommended shortlist

My recommendation for an agency stack

If you need one platform to standardize across many clients, I would usually choose:

1. Ruler Analytics → if most clients are lead-gen businesses (home services, healthcare, legal, B2B services).
2. Rockerbox → if clients include brands running TV, CTV, direct mail, retail, podcasts, and digital together.
3. Dreamdata → if your agency focuses on SaaS/B2B revenue attribution.
4. Northbeam → if your book is mostly ecommerce brands.

For an agency, I would avoid relying only on Google Analytics 4 or ad-platform attribution reports because they typically miss offline interactions and closed-revenue outcomes. A stronger architecture is:

Ad platforms + website analytics + call tracking + CRM + POS/offline sales → identity resolution → attribution model → client dashboard

Before selecting, I’d evaluate:

• Multi-client workspaces
• White-label dashboards
• CRM integrations (Salesforce, HubSpot, etc.)
• Offline conversion imports
• Call tracking integration
• Custom attribution models
• Incrementality testing (not just correlation)

If you tell me your agency type (e.g., paid media agency, performance marketing, B2B demand gen, local lead gen, ecommerce) and typical client size/spend, I can narrow this to a top 1–2 recommendation.

For an agency serving multiple clients, I’d shortlist Attribution first, with Dreamdata as the stronger alternative for B2B clients.

My recommendation: Attribution

Attribution is particularly well suited to an agency because it is designed around cross-channel, deduplicated attribution and has specific agency functionality. It can connect paid media, organic, email, CRM, Shopify, and offline activity, while keeping each client’s data separated. www.attributionapp.comwww.attributionapp.comdreamdata.iowww.ruleranalytics.com

The important capabilities for your use case are:

• Online + offline touchpoints — connect website visits and ad interactions with CRM deals, calls, purchases, events, etc.
• Cross-platform deduplication — avoids the classic problem where Meta, Google, and TikTok each claim the same conversion.
• Client-level workspaces/reporting — useful when your agency needs a repeatable measurement framework across accounts. www.attributionapp.com
• CRM integrations — including HubSpot and Salesforce.
• Conversion feedback loops — can send conversion information back to advertising platforms.
• Raw user-level data export to Snowflake, BigQuery, Redshift, Databricks, etc., if you eventually want your own data warehouse/model. www.attributionapp.comwww.attributionapp.comdreamdata.iowww.ruleranalytics.com
• Multiple attribution approaches rather than being locked into a single last-click model. www.attributionapp.com

When I'd choose something else

Dreamdata is especially compelling for B2B: it maps customer journeys through pipeline and closed-won revenue and can push offline/pipeline conversions back into ad platforms. dreamdata.io

Ruler Analytics is worth considering if your clients' offline conversions are primarily phone calls, CRM activity, events, and sales outreach. It specifically supports connecting those offline events to individual customer journeys. www.ruleranalytics.com

The architecture I'd use

Rather than making the attribution tool your entire measurement stack, I'd build:

Ad platforms + website + CRM + POS/offline data → identity resolution → Attribution → client dashboards + conversion APIs

That gives the agency a single source of truth for revenue, while still allowing Google/Meta/etc. to receive conversion signals for optimization.

If you tell me what kinds of clients you have (B2B, ecommerce, local/service businesses, etc.), which CRMs/ad platforms they use, and roughly how many clients, I can narrow this down to the best 2–3 solutions and compare pricing, integrations, offline matching, white-labeling, and agency scalability.