Upside for
Revenue Attribution

Model attribution the way that makes sense for your business

Break free from the constraints of position-based models. Upside unifies every touchpoint, logged and inferred, into one clean foundation, so you can use attribution out of the box or build the exact model your business needs.

One clean foundation under any attribution model

Attribution is only as good as the data underneath it. Upside unifies emails, calls, meetings, campaigns, and web activity into one clean timeline per deal, including the inferred touchpoints your CRM never logged. Whatever model you run on top, it runs on the whole story.

Milestone Analysis · Beacon Labs

Blog view
Apr 14
Webinar registration
Apr 22
ChatGPT search
via mentioned on call
May 3
Demo booked
May 11
Dinner attended
via email follow-up
May 19
Proposal sent
Jun 4
Closed won
Jun 28
MarketingSalesInferred (call / email)

Attribute the touchpoints your CRM never logged

Most attribution models only credit what reps remembered to log. Upside extracts call attendees, email threads, and meeting invites from unstructured data and brings them into the attribution model as first-class touchpoints, so credit flows to the channels and campaigns the CRM was blind to.

Touchpoints per account

CRM only

47

logged touchpoints

With Upside

77

touchpoints found

30 touchpoints surfaced from call transcripts and email threads, never logged manually.

Get a rigorous multi-touch answer without building anything

Not every team wants to design its own model — sometimes you just need a credible multi-touch view you can take to planning. Upside's next-generation Pipedash model spreads impact-based credit across every touchpoint in the deal, broken down by team, channel, and individual touch, and tells you why each one mattered to the win. A defensible answer your CFO can audit, with nothing to set up.

Zero-sum attribution

$165.5K · 100% allocated
ActivityCreditDateType
MARKETING$42.5K
Bulk Marketing Email$15.5K
Q1 product update$15.5KFeb 12, 2024Tracked
Chatbot$27.0K
Qualified website chat$27.0KJan 8, 2026Tracked
SDR$28.0K
Direct Email · West$12.0KNov 4, 2025Tracked
Direct Email · East$16.0KAug 18, 2023Tracked
INFERRED INFLUENCES$95.0K

Build the model that fits how you go to market

Position-based models force every business into the same shape. With all of your data in one clean place, use the Upside MCP and mini-apps to model attribution your way: define your own milestones, weight channels how your business thinks about them, segment by customer type or motion.

What your CRM calls "outbound" vs. reality

% of pipeline · broken down by true origin pattern

Pure outbound18%$620KMarketing-assisted outbound34%$1.4MPure inbound28%$1.1MMarketing-influenced inbound20%$820K

Views into cause and effect, not just credit splits

A lot of what teams actually want from attribution isn't a credit split, it's an answer. Upside's influence reports and channel report cards show what's moving deals from a specific angle: which campaigns touched won deals, what channels moved deals forward, which programs influence pipeline without sourcing it.

Channel report card

last 90 days

Paid Search

Opportunities influenced

148

$6.2M

Won opps influenced

32

$1.4M

Created post-engagement

47

$1.9M

Progressed opps

68

$2.8M

Accounts activated

23

new accounts

Campaign active days

164

first → latest

Excludes engagements from your own team.

Proof · Case study

Assembled recovered 30K+ hidden contacts and 37K+ hidden touchpoints their CRM never captured, and found events drove ~20x more pipeline per opportunity than other sources such as paid.

Lindsey Marymont

"The challenge we were trying to solve was essentially annual planning, getting a good sense of where our pipeline was coming from, where to double down as we were thinking about budget allocation for the year ahead."

Lindsey Marymont, Head of Demand Generation

Read Assembled case study →
What Upside unlocks

What you get when attribution actually reflects reality

1

End the 'marketing says / sales says' debate

When marketing, sales, SDRs, and RevOps all work from the same reconstructed source of truth, zero-sum attribution fights disappear. Planning conversations become grounded in shared reality.

2

See everything that contributed

Get true visibility into everything that contributed to pipeline, even when touchpoints weren't logged, contact roles were incomplete, or campaign membership was broken. Upside finds it and attributes it.

3

Make budget decisions on real data, not last-touch

Reallocate spend the moment multi-touch data shows a major pipeline-per-opp gap between programs (e.g. events vs paid). The kind of move you can only justify with a forensic journey your CFO can audit.

What our customers say

I've been in marketing for 10+ years, and I've never been able to get a clear picture of the buyer journey before Upside.

Lindsey Marymont

Lindsey Marymont

Head of Demand Generation · Assembled

What used to take 2-3 hours I can now do in a few clicks, and it's made me a smarter operations person than I've ever been in my career.

Charlie Flanagan

Charlie Flanagan

Head of GTM Ops · Dscout

It helped us validate that what we thought was true was actually true. We were just not seeing the impact of the ADR function like we needed to.

Amy Wellersdick

Amy Wellersdick

Director of Marketing Ops · Syndio

Questions? Answers.

Does Upside replace my existing attribution tool?

Most customers replace their point or position-based attribution tool with Upside because Upside covers more sources and works with messier data.

Do we have to use a multi-touch model?

No. Multi-touch is one lens. Some teams legitimately run last-touch for opportunity sourcing, others build custom models on the unified data with the Upside MCP. Upside supports the model that matches how your business actually makes decisions.

What if our UTM tagging is inconsistent?

Tagging is never perfectly consistent, and that's fine. Upside's channel rules are dynamic and flexible enough to adapt to what your data actually looks like: UTMs when they exist, referrer URLs when they don't, GCLIDs for Google Ads even without UTMs, and natural-language rules for the edge cases. Inconsistent tagging doesn't break the model, and you can apply the rules retroactively to clean up historical data.

Do we need to clean up our CRM data first?

No. Upside is specifically designed to work with messy, incomplete GTM data. We extract missing contact roles, infer hidden touchpoints, and reconstruct buying groups automatically, doing the heavy lifting of cleaning up your data so you can get insights rapidly.

Can we compare Upside's attribution to our current model?

Yes. You can run both at the same time and see how differently we look at the world. Upside tends to find more specific influence because it looks at the whole buying group, not just the contacts on the opportunity.

How long until we have trusted attribution?

Implementation takes days. Once your sources are connected, attribution runs on your live data, so you are interrogating a working model quickly instead of waiting on a quarter-long rollout.

Know what really drives your pipeline

See revenue attribution on your own data in a 30-minute walkthrough.

Take the interactive tour →