How each solution fits
Each Adobe solution plays a distinct role across GPC's priorities. Together they answer who to reach, what to say, where the journey goes, and which investments actually moved the business.
RTCDP B2B
Unifies person and account profiles, resolves identity, builds real-time audiences, and activates them to Adobe and media destinations. Determines who can be reached.
CJA (B2C)
Analyzes person-level cross-channel journeys, pathing, attribution, experimentation, and behavioral audience discovery. Explains individual behavior.
CJA B2B
Analyzes journeys across people, buying groups, accounts, and opportunities — account health, pipeline progression, sales & marketing influence, and account-level revenue attribution. Explains account behavior.
Adobe Target
Delivers and tests personalized owned-channel experiences — offers, content, landing pages, recommendations, onboarding, loyalty, and sponsored placements. Controls the experience.
MCA & Mix Modeler
Combines marketing mix modeling, multi-touch attribution, causal AI, and incrementality measurement to prove what worked and recommend where the next dollar should go. Proves impact.
GPC's 11 priorities, solution by solution
Each priority lists the business questions it answers, what CJA B2B enables, what can be solved with CJA (B2C) + RTCDP alone, how Adobe Target supports it, and where MCA applies. Expand any priority for the full detail.
1
Enhanced Customer Segmentation & Intelligence
Segments defined by account value, buying groups, and category whitespace — not unrelated visitors.
- Which shop accounts have the greatest growth potential?
- Which accounts are high-value, at-risk, growth, mature, under-engaged, or expansion-ready?
- Which accounts have strong engagement but comparatively low purchasing activity?
- Which segments should receive cross-sell, retention, acquisition, or sales-assisted treatment?
- Which stakeholders within a shop contribute to engagement, and which roles are missing?
- Which shops are becoming less active, and what distinguishes growing from declining shops?
- Which accounts under-purchase in adjacent categories (highest whitespace)?
- Which shops should receive automated engagement versus sales-representative outreach?
Analyzes behavior collectively at the shop or account level rather than treating each web visitor, PROLink user, contact, and purchaser as unrelated. Connects account engagement with revenue, orders, product usage, buying-group activity, campaigns, sales interactions, and opportunities.
Buying-group segmentation distinguishes complete, active groups (shop owners, service managers, parts buyers, technicians) from accounts where essential roles stay unengaged. Account health combines order frequency, revenue trends, PROLink usage, sales & support activity, program participation, category breadth, and journey progression — powered by person-to-account stitching, Journey Canvas, and Guided Analysis.
- High-value accounts with declining digital engagement
- Growing accounts with low category penetration
- At-risk accounts with falling order frequency
- Accounts with high research activity but low conversion
- Expansion-ready accounts based on similar-account behavior
- Anonymous and known visitor segmentation
- Individual behavioral segmentation
- Product and content affinity
- Channel-preference segmentation
- Person-level product and channel propensity
- Behavioral audience discovery, qualification & activation
- Basic geographic, demographic & transactional segmentation
- Different homepage, navigation, category & content experiences by segment
- PRO versus consumer content on the combined digital experience
- Test shop-type, lifecycle, and behavioral messaging
- Category discovery for digitally under-engaged customers
- Test whether account-informed experiences beat person-only personalization
- Use RTCDP audiences as the qualification layer; measure experiments in CJA across the broader journey
Supporting role. MCA compares campaign performance across the resulting segments and identifies which audiences, regions, channels, and campaigns create incremental impact — especially when segmentation allocates paid-media or promotional investment.
2
Customer Lifecycle Model for Sales, Marketing & Ops
One shared lifecycle definition across functions, measured at the account level.
- Where is each account from prospecting through acquisition, engagement, retention, loyalty, expansion, and churn prevention?
- Which accounts are progressing, stalled, declining, or ready for expansion?
- Which behaviors indicate movement between lifecycle stages?
- Which lifecycle stages have the greatest journey friction?
- Which accounts need nurture, automated engagement, operational intervention, or direct sales?
- Which signals distinguish temporary inactivity from genuine churn risk?
- Which interventions return declining accounts to healthy purchasing?
Measures lifecycle progression at the account or shop level — Prospect → Engaged account → New customer → Active account → Expansion → Retention → Churn risk → Reactivation — using Journey Canvas and account-level reporting to show which interactions accelerate or impede progression.
Opportunity progression reveals which activities precede opportunity creation, where opportunities stall, and which buying-group members are active at each stage. Fallout visualizes conversion and drop-off. Sales, marketing, and operations share the same account journey definitions, with CJA B2B as the analytical layer and RTCDP creating the lifecycle audiences.
- Individual acquisition, engagement, retention & reactivation stages
- Consumer lifecycle segmentation
- Person-level engagement scoring
- Individual loyalty lifecycle analysis
- Individual retention and churn audiences
- Basic lifecycle audiences activated to site, email, or media
- Personalize digital onboarding for new customers
- Guided experiences that encourage PROLink adoption
- Lifecycle-specific homepage, navigation, content & offers
- Test retention messages for declining customers
- Reactivation experiences for dormant visitors
- Test service-first vs promotion-first experiences for at-risk segments
Supporting role. MCA measures whether acquisition, retention, and reactivation campaigns generate incremental outcomes and compares effectiveness across lifecycle stages, regions, and channels. It does not create the lifecycle model — it measures the impact of campaigns operating against it.
3
B2B Lead Generation, Scoring & Nurturing
Tell a genuinely engaged account apart from one active individual.
- Which campaigns and channels generate qualified demand?
- Which visitors and accounts should be prioritized for follow-up?
- Which buying groups are engaged enough to be sales-ready?
- Which stakeholder roles are active, and which are missing?
- Which digital activities precede lead, opportunity, and closed revenue?
- Where do accounts stall between engagement, qualification, opportunity, and close?
- Which nurture content accelerates progression?
- Which campaigns contribute to pipeline creation and advancement?
Adds buying-group readiness on top of person-level scoring: how many stakeholders are engaged, which roles are participating, whether engagement is concentrated in one person, and which essential roles remain missing — distinguishing an active individual from a genuinely engaged account.
Lead-to-account and account-to-opportunity analysis places individual engagement inside the account hierarchy. The Attribution Panel supports rules-based attribution across channels, content, and lifecycle stages at account, buying-group, and opportunity levels, connecting marketing and sales touches to opportunity creation, pipeline, and revenue. Insights inform account audiences in RTCDP.
- Individual behavioral lead-scoring inputs
- Website lead-generation, form & CTA conversion analysis
- Person-level nurture engagement & campaign response
- Lead-source reporting & visitor-to-lead funnel analysis
- Individual retargeting and suppression
- Audience creation based on digital intent
- Test lead forms, field requirements, page layouts & CTAs
- Personalize landing pages by visitor, account segment, lifecycle stage, or referral
- Different content for known versus anonymous visitors
- Test content sequencing before hand-off to nurture or sales
- Account-aware content when an RTCDP audience qualifies the visitor
- Analyze outcomes in CJA beyond form completion, into later opportunity or revenue
MCA measures the incremental effect of demand-generation campaigns, compares acquisition channels, and connects investment to customer acquisition. CJA B2B explains the account and opportunity journey; MCA evaluates aggregate campaign and investment effectiveness.
4
Identify & Target All Website Visitors
Read visitor activity as account and buying-group intent, not just isolated sessions.
- Which visitors are known B2B customers with (or without) PROLink access?
- Which visitors are anonymous or not yet addressable?
- Which NAPA Online visitors show Pro-like behavior and should be guided toward PROLink?
- Which anonymous behaviors resemble high-value Pro accounts?
- Which known customers are digitally active but not recognized by activation systems?
- Which visitors show strong product, category, availability, or purchase intent?
- Which accounts are researching online even when the individual can't yet be identified?
Visitor-to-account analysis determines whether activity reflects a new prospect, an existing account researching a new category, a dormant customer returning, multiple people from the same account, or a buying group becoming more active.
A single visit is weak evidence; aggregated engagement across multiple people in the same account reveals stronger account intent across the people, account, buying-group, and opportunity levels. Anonymous-to-known context places the later-known individual into an account and relates pre-identification behavior to account progression, opportunity creation, or offline purchasing.
- Anonymous visitor analysis & known-vs-unknown segmentation
- Individual identity resolution and anonymous-to-known stitching
- Behavioral audience creation, retargeting & suppression
- Referral, geographic, device & content segmentation
- Person-level intent scoring & website path analysis
- Individual PROLink onboarding audiences
- Serve the right B2B or B2C experience without relying on self-declaration
- Personalize homepage & navigation for known and anonymous audiences
- Guide likely Pros from NAPA Online toward PROLink
- Personalize product, category, availability & account-access messaging
- Test PROLink enrollment or authentication prompts
- Update experiences via RTCDP qualification as the visitor becomes known
Limited supporting role. MCA compares the quality and downstream business impact of traffic acquired through paid campaigns. It does not perform identity resolution or on-site visitor recognition.
5
Personalized Promotions & Offers
Reward incremental growth — not purchases that would have happened anyway.
- Which offers perform best by segment, account type, lifecycle stage, and health score?
- Which promotions drive incremental purchases rather than shifting existing demand?
- Which accounts purchase without incentives and should be suppressed from discounts?
- Which categories are the strongest cross-sell for each account?
- Which accounts are under-penetrated in adjacent categories?
- Which accounts are ready for an upsell rather than a discount?
- Which messages work best for different buying roles?
Account-level cross-sell and upsell analysis connects purchase history, category engagement, revenue, digital behavior, and sales activity to find whitespace and compare expanding versus similar non-expanding accounts.
Buying-group and role-informed personalization distinguishes the account being targeted from the role receiving the message. Promotion-to-revenue journey analysis links exposure to later orders, opportunities, and revenue, while account-level suppression flags high-frequency purchasers and organically growing accounts for RTCDP suppression audiences.
- Individual product recommendations & recently-viewed experiences
- Product or category affinity
- Cart- and browse-based promotions
- Consumer loyalty offers & person-level lifecycle promotions
- Individual offer-response analysis
- Person-level promotional suppression
- Deliver personalized offers, cross-sell & upsell recommendations on web & commerce
- Personalize categories, products, bundles & promotional placements
- Test price-led, availability-led, educational & value-led messages
- Test offers by segment, lifecycle stage, health score & account type
- Suppress promotions for accounts that don't need an incentive
- Evaluate experiments in CJA against downstream cross-channel and offline outcomes
Material supporting role. MCA answers which promotions generated incremental revenue versus captured existing demand, which channels performed best, where spend is inefficient, and which regions, campaigns, and audiences deserve additional investment — combining marketing mix modeling, multi-touch attribution, and causal incrementality.
6
Cross-Channel Messaging & Journey Orchestration
Coordinate messages across web, email, media, branch, phone, and sales.
- Which account journeys span web, email, app, in-store, paid media, Salesforce, branch, phone & sales?
- Where do accounts drop out of those journeys?
- Which channel sequences correlate with conversion, retention, or expansion?
- Which messages should be coordinated across channels?
- Which accounts should receive real-time versus nurture-based engagement?
- Which buying-group roles should receive different content?
- Which journeys should be suppressed because the account has already converted?
- Which account and opportunity signals should trigger sales or marketing action?
Combines online and offline touchpoints into a time-sequenced account or buying-group journey via Journey Canvas — across PROLink & NAPA activity, email and campaigns, paid media, sales calls and visits, branch or store activity, support, orders, and revenue.
Buying-group journey visibility shows whether activity is concentrated in one role or dispersed, and which essential participants are missing. CJA B2B determines what is working; RTCDP updates and suppresses audiences based on those insights, and Adobe Target continues the message on owned channels.
- Person-level cross-channel journey analysis
- Consumer lifecycle journeys
- Individual event-triggered audiences
- Browse- and cart-abandonment audiences
- Channel-preference analysis & person-level suppression
- Basic audience qualification and activation
- Landing pages that continue a message initiated in email or media
- Journey-stage-specific web content
- Maintain audience & message continuity when a visitor returns
- On-site messaging following quote, search, category, or availability behavior
- Role-appropriate content when the visitor is linked to an account audience
- Test whether a service, education, availability, or offer experience is the best next step
MCA compares campaign and channel effectiveness across orchestrated programs and determines which cross-channel campaigns produce incremental outcomes. It is a measurement complement, not the journey-execution engine.
7
Audience Management & Media-Partner Integration
Invest media against account value and downstream quality, not just clicks.
- Which audiences should activate to Google, Bing, Meta, DV360, TikTok, YouTube, Criteo, Rakuten, Impact, Epsilon & others?
- Which high-value accounts or buying groups should receive paid-media investment?
- Which anonymous visitors should be retargeted?
- Which already-converting accounts should be suppressed?
- Which channels produce the best downstream account quality?
- Which media-exposed accounts later convert via branch, rep, phone, or store?
- Which audiences are over-targeted or under-performing?
High-value account and buying-group discovery identifies audiences based on engagement, buying-group behavior, opportunity progression, account health, category whitespace, or revenue — determining which account audiences to prioritize for activation.
Downstream account-quality analysis evaluates whether campaign-exposed accounts later create opportunities, increase order frequency, expand categories, convert through branch/phone/sales, or become retained. Already-converting or expanding accounts are passed to RTCDP for suppression, reducing redundant media exposure.
- Person-level audience creation
- Anonymous and known retargeting
- Audience syndication & paid-media activation
- Consumer-audience suppression & lookalike sources
- Behavioral audience qualification & destination activation
- Person-level media performance analysis
- Align the post-click site experience with the media audience and creative
- Personalize landing pages by campaign, audience, account type & intent
- Maintain message continuity between paid media and owned experiences
- Different post-click paths for retargeted versus prospecting audiences
- Use RTCDP qualification to determine which Target experience is delivered
Strong supporting role. MCA normalizes performance across platforms; compares campaign, channel, audience, regional, brand & product-line performance; measures incremental results; flags wasted spend; and recommends budget reallocation — connecting investment to acquisition and revenue.
8
Stitch Online Activity to Offline Conversions
Reconstruct the full account journey across PROLink, POS, CRM, branch, and sales.
- Which PROLink and digital behaviors precede branch, store, phone, rep-assisted, or offline purchases?
- Which journeys begin with search or quote activity and finish through another channel?
- Which channels assist purchases without receiving last-click credit?
- Which campaigns create store or branch demand without a direct online conversion?
- Which accounts research digitally but consistently purchase manually?
- Which sales interactions contribute to account purchases?
- How does channel preference differ by account value, shop type, geography, or category?
Unified account journey reconstruction analyzes online and offline datasets together — PROLink & NAPA activity, campaign and media, CRM and sales, branch/store transactions, POS, support, orders, and revenue — organized around people, accounts, buying groups, and opportunities.
Account and opportunity attribution via the Attribution Panel supports model comparison and connects touches to opportunity creation, pipeline, and closed revenue. Sales-assisted and branch influence sit beside digital behavior in the time-sequenced journey, and long-path B2B analysis preserves multi-person, extended sequences.
- Individual web-to-store attribution
- Consumer online-to-offline journeys
- Person-level digital-to-POS analysis
- Anonymous-to-known stitching
- Individual cross-device and cross-channel behavior
- Consumer store-visit or purchase audiences
- Experiments on search, quote, product, fitment & availability experiences
- Personalize experiences intended to reduce digital abandonment
- Test whether digital reassurance or store/branch options improve conversion
- Pass experiment exposure & outcome data into CJA
- Compare immediate digital lift with later branch, phone, rep, or store outcomes
Strong measurement complement. MCA connects advertising performance with journey and conversion data for full-funnel measurement, assesses incrementality, and compares channel contribution. The distinction: CJA B2B answers which account journey led to the offline outcome; MCA answers which campaigns caused incremental outcomes and how budget should change.
9
Launch a B2B Loyalty Program for Pros
Measure loyalty value at the shop / account level, not just individual enrollment.
- Which accounts are the best candidates for enrollment or expansion?
- Which behaviors predict sustained loyalty participation?
- How do members and non-members differ in engagement, category breadth, retention & revenue?
- Which onboarding paths lead to long-term participation?
- Which accounts are active purchasers but low program adopters?
- Which program touchpoints contribute to repeat ordering or category expansion?
- How should AutoCare participation insights inform a broader Pro loyalty strategy?
Account-level loyalty analysis connects participation with account revenue, order frequency, category breadth, digital engagement, sales and support interactions, retention and churn indicators, and buying-group behavior.
Member-versus-non-member cohort comparison examines how participation relates to account journeys, retention, expansion, and engagement. Role-based program engagement identifies which buying-group roles engage with training, incentives, support, or benefits — and how that relates to account outcomes and health.
- Individual loyalty enrollment & member engagement reporting
- Reward utilization & consumer tier analysis
- Individual loyalty journeys
- Person-level retention audiences
- Reward and offer personalization
- Individual member reactivation & redemption funnel analysis
- Personalize loyalty enrollment experiences
- Test enrollment messages & benefit explanations
- Member-versus-non-member experiences
- Personalize rewards, training, incentives & support content
- Tier-, lifecycle-, and segment-specific experiences
- Test which experiences increase sustained participation, not just initial enrollment
MCA measures effectiveness and incrementality for loyalty acquisition, reactivation, retention, and co-op promotional campaigns — determining whether loyalty marketing investment created incremental outcomes rather than only correlating participation with performance.
10
Implement Rapid Media Mix Modeling
Decide where the next marketing dollar goes — causally, not by platform claims.
- Which channels and campaigns are generating incremental business outcomes?
- Where should the next marketing dollar be invested?
- Which campaigns should be expanded, reduced, or stopped?
- Which channels are saturated or underfunded?
- Which regional campaigns produce the strongest acquisition & revenue?
- Which co-op advertising programs deliver the greatest return?
- How should budgets allocate across paid search, social, display, retail media & email?
- Which conclusions are causal versus platform-attributed?
CJA B2B is a supporting analytical solution here, not the primary media-mix engine. It supplies account-level media journey context — which media-exposed accounts progress, which campaigns influence buying groups or opportunities, which media touches precede offline conversion, and which contribute to category expansion or retained value.
Rules-based attribution at account, buying-group, and opportunity levels complements broader media-mix measurement, explaining what happened within the journey while MCA determines incrementality and investment implications.
- Person-level media attribution
- Individual campaign journeys
- Consumer conversion-path analysis
- Audience creation, suppression & behavioral retargeting
- Campaign-exposed visitor analysis
- Digital experimentation analysis
- Controlled experimentation data for landing pages, offers & content
- Test whether media performance improves when post-click aligns with audience & creative
- Measure creative-to-landing-page consistency
- Provide exposure & conversion data for broader analytics
- Use experiment insights as supporting evidence for channel performance
Primary solution. MCA delivers unified campaign measurement across platforms, marketing mix modeling, multi-touch attribution, Causal AI, incrementality, budget-inefficiency detection, optimization recommendations, regional and co-op analysis, and budget reallocation — investigated in natural language via the Data Insights Agent. Adobe Mix Modeler capabilities live within this MCA approach.
11
Launch the NAPA Retail Media Network
Prove closed-loop advertiser value — including Pro-account and offline outcomes.
- Which first-party audiences are valuable to retail-media advertisers?
- Which advertisers, campaigns, placements & audiences produce business outcomes?
- Which ad exposures lead to digital, branch, store, phone, or rep-assisted purchases?
- Which campaigns generate incremental purchases rather than claiming existing demand?
- How should GPC value and package audiences?
- Which sponsored products, categories, or placements perform best?
- How should GPC provide closed-loop measurement and advertiser reporting?
- Which inventory and campaign investments should be expanded or reduced?
Where the RMN targets Pro customers, CJA B2B provides account audience intelligence based on value and growth, category penetration, buying-group engagement, opportunity or lifecycle stage, purchase and journey behavior, account health, and online/offline conversion behavior.
Account-level closed-loop journey analysis connects advertiser or campaign exposure to later engagement, account activity, opportunity progression, offline purchasing, and revenue. Advertiser attribution operates at account, buying-group, opportunity, and revenue levels, and audience-quality analysis distinguishes audiences that merely engage from those that become high-value, expanding, or retained accounts.
- Consumer first-party audience creation & syndication
- Person-level advertiser audiences
- Behavioral retargeting & consumer campaign measurement
- Individual digital and store-purchase attribution
- Audience suppression & campaign-exposed visitor analysis
- Basic sponsored-content reporting
- Deliver sponsored product & category placements on owned properties
- Personalize sponsored content by audience and behavioral context
- Test placement, creative, message & merchandising treatment
- Personalize advertiser experiences for selected RTCDP audiences
- Test whether sponsored recommendations improve discovery & conversion
- Generate experiment data that can be analyzed in CJA against online & offline outcomes
Primary measurement solution alongside CJA B2B and RTCDP. MCA supports unified retail-media reporting, advertiser comparison, incrementality, audience & channel performance, sponsored-campaign investment analysis, wasted-spend detection, and advertiser-facing evidence of incremental impact. The full RMN story: RTCDP activates first-party audiences, CJA (B2C) measures consumer journeys, CJA B2B measures Pro-account and opportunity journeys, Target delivers and tests sponsored experiences, and MCA (with Mix Modeler) measures incrementality and optimizes investment.
How the solutions hand off to each other
The clearest GPC framing is a relay: each solution does the one thing it is best at, then passes the work forward.
RTCDP
Determines who can be activated and keeps profiles real-time.
CJA B2C
Explains individual cross-channel behavior and paths.
CJA B2B
Explains account, buying-group, opportunity & revenue journeys.
Target
Controls and tests the owned digital experience.
MCA
Proves incremental impact and guides the next investment.
The role of CJA B2B
Many priorities can be served by CJA (B2C) + RTCDP alone at the person level. CJA B2B becomes essential the moment the answer depends on the account — its buying groups, opportunities, health, or revenue.
| Analytical question | CJA (B2C) + RTCDP | CJA B2B adds |
|---|---|---|
| Who is this visitor / contact? | Identity, person profile, audiences | Places the person inside an account & buying group |
| Is this account really engaged? | Shows one active individual | Buying-group completeness — which roles are active or missing |
| What is the journey? | Person-level cross-channel path | Time-sequenced journey across people, accounts & opportunities |
| What did marketing influence? | Person / campaign attribution | Attribution to pipeline, opportunities & account revenue |
| Which segment is this? | Behavioral & demographic segments | Account health, whitespace, expansion-readiness segments |
| Did online drive offline? | Individual web-to-store attribution | Account-level online + branch/POS/sales reconstruction |
The primary role of each solution
A single view of how the five solutions divide the work across all eleven priorities.