Elentaria
One system for commercial operations
1.6K followers
One system for commercial operations
1.6K followers
Elentaria is AI automation for commercial operations: quoting, order processing, quote-to-cash, delivery coordination and invoicing, built around your rules and approvals. For wholesale and distribution, manufacturing, B2B software and agencies.
Love that it scores channels by what actually moved revenue. Where does it draw the line, does it look only at getting users in, or also at what happens after they land (activation, trial-to-paid)?
Curious how you split 'GTM' vs 'product' when you attribute revenue."
@and_bayleaf Our current focus is more on B2B high ticket businesses, potentially $10K+ ACV, or even best could be to $20K+ ACV, but we'll soon put more focus on PLG motions and low ticket products, maybe even eventually reaching B2C.
In the current focus area, we get to the point that meetings are booked, or conversions happen, and then human operators take over, to attend the calls and convert them into actual sales.
How does the system adapt when a channel that initially looked promising stops performing after a few weeks?
@new_user___1342026562312f405b6ec1f The data is captured and considered for the next week's plan.
scoring 22 channels automatically is a genuinely interesting approach. most founders pick channels based on gut or what they read on twitter. curious how it weighs organic vs paid for a bootstrapped consumer app with no runway for ads
@renkethye Not sure, the audit must run to see the results, but I think ads might be a powerful fit channel, but your readiness (incl. budget) can be low for that.
"Scores 22 channels" is a concrete number worth interrogating. Which 22, and how does the scoring work — is it pulling actual performance data from each channel via API, or is it analyzing what you've told it about your stack and estimating?
@sounak_bhattacharya It's a combo of performance data, market analysis, etc. 5-10 metrics are scored per channel and the final score per channels is a combo of them.
Congrats Ayda and team! Scoring 22 channels against a company's actual data is the part that interests me most, since most GTM advice falls apart at the "fits your business" step. How does the scoring handle channels with long feedback loops like SEO, where what moved revenue might not show up for months?
@luigi_receiptorai Thanks! The metrics are not only tied to revenue, 5-10 specialized metrics are tracked and scored per channel, and the final score is a combo of them.
You also mentioned that it helps find the leads. Any leads like influencers ?
@sabber_ahamed Yes, lead sourcing is also one of the aspects we cover. Of course, if they have a signal, like number of followers, title or anything else that shows they are an influencer, we can find them.
For outbound specifically, how does it keep deliverability healthy while scaling sends?
@faizyabhussain07 For LinkedIn outbound we have our own internal sequencing engine, which is built based on industry standards, to keep rates balanced. For email, we integrate with most common engines, like Smartlead, Instantly, etc.