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Glossary

Marketing attribution

Marketing attribution is the practice of assigning credit to the touchpoints — ads, emails, content, search, social — that contributed to a conversion, so you can see which efforts actually drove pipeline and revenue. Instead of guessing which channel deserves the deal, it traces the buyer's path and weights each touch. In dolv, marketing attribution runs as multi-touch attribution across five models, tied to one unified funnel scored against a rolling 30-day baseline.

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What marketing attribution actually is

A buyer rarely converts off a single touch. They read a blog post, see a LinkedIn ad, search your brand, open two emails, and finally book a demo. Marketing attribution is how you assign credit across that path — deciding which touchpoints, and how much each one, contributed to the conversion. Done well, it turns a tangle of channel data into a clear answer to one question: what actually moved pipeline? That answer is what separates the spend that compounds from the spend that just looks busy.

The credit you assign depends on the model you choose. A first-touch model rewards the channel that started the journey; last-touch rewards the one that closed it; multi-touch models spread credit across the whole path. No single model is "correct," which is why mature teams compare several — a discipline covered in depth in our guide to marketing attribution models.

Why marketing attribution matters

Without attribution, budget decisions run on vibes. You can't tell whether your demand channel is feeding pipeline or whether one email nurture is doing the quiet work of closing deals. Attribution makes the invisible visible: it shows where revenue really comes from, exposes channels that take credit they didn't earn, and gives you the evidence to move spend toward what works. For RevOps teams, it's the connective tissue between marketing activity and revenue reality — the difference between reporting and steering.

How dolv does marketing attribution

In dolv, attribution isn't a bolt-on report — it lives inside a grounded command center. Live touch data flows from 20 read-and-write integrations: GA4, Search Console, Ahrefs, Google, Meta, and LinkedIn Ads, Gmail, and the built-in CRM. dolv runs multi-touch attribution across five models so you can read the same conversion through first-touch, last-touch, and full-path lenses side by side, then maps every touch onto one unified TOFU/MOFU/BOFU funnel scored against a rolling 30-day baseline (weighted composite health: TOFU 0.25 / MOFU 0.40 / BOFU 0.35).

A cross-metric correlation engine then links movement in one metric to movement in another, separating signal from noise, while intent-signal lead scoring weights credit toward touches that bring high-intent buyers. When you want to prove a channel earns its attributed credit before you scale it, ICE experiments validated by a real z-test give you the statistical answer. And because every action is human-in-the-loop, the agent prepares the attribution-informed move and you approve it — prepare → approve → executing → done — before any spend shifts.

In practice

Finding the channel that really closed

Say last-touch attribution gives all the credit for closed deals to paid search, so you're tempted to pour budget there. In dolv you switch to multi-touch across the other models and a different story appears: a LinkedIn Ads touch and a nurture email show up early on nearly every winning path. The correlation engine confirms the link, and an ICE experiment — validated by a real z-test — proves shifting spend toward the early touches lifts pipeline against the 30-day baseline. You approve the reallocation in one click. dolv it.

Keep learning

FAQ

Marketing attribution questions

Quick answers to what people ask about attribution.

What is marketing attribution?

Marketing attribution is the practice of assigning credit to the touchpoints — ads, emails, content, search, social — that contributed to a conversion, so you can see which efforts actually drove pipeline and revenue. In dolv it runs as multi-touch attribution across five models, tied to one unified TOFU/MOFU/BOFU funnel so credit reads against real, baseline-adjusted momentum.

What are the main marketing attribution models?

Common models include first-touch (all credit to the first interaction), last-touch (all credit to the final one), linear (credit split evenly), time-decay (more credit to recent touches), and position-based / U-shaped (weighted toward first and last). dolv supports multi-touch attribution across five models so you can compare how each one tells the story rather than trusting a single view.

How does dolv do marketing attribution?

dolv pulls live touch data from 20 read-and-write integrations — GA4, Search Console, Ahrefs, Google/Meta/LinkedIn Ads, Gmail, and the CRM — and maps it onto one unified funnel scored against a rolling 30-day baseline. Multi-touch attribution across five models plus a cross-metric correlation engine show which touches moved pipeline, and ICE experiments validated by a real z-test let you prove a channel earns its credit before scaling.

Stop guessing, start crediting

See attribution that proves what moved pipeline

Five attribution models, a correlation engine, and one unified funnel — running in a single grounded command center. dolv it.

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