Marketing via Friends: Strategic Diffusion of Information in Social … · 2011. 12. 19. · 2011...
Transcript of Marketing via Friends: Strategic Diffusion of Information in Social … · 2011. 12. 19. · 2011...
Marketing via Friends: Strategic Diffusion ofInformation in Social Networks with Homophily
Roman Chuhay
Higher School of Economics,ICEF, CAS
2011
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 1 / 20
HomophilyHomophily is a tendency of people to interact more with those who aresimilar to them.
I In our context - people with similar preferences tend to interact more.
ρ = 0 ρ = 0.5
ρ = 0.75 ρ = 1.0
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 2 / 20
HomophilyHomophily is a tendency of people to interact more with those who aresimilar to them.
I In our context - people with similar preferences tend to interact more.
ρ = 0 ρ = 0.5
ρ = 0.75 ρ = 1.0
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 2 / 20
HomophilyHomophily is a tendency of people to interact more with those who aresimilar to them.
I In our context - people with similar preferences tend to interact more.
ρ = 0 ρ = 0.5
ρ = 0.75 ρ = 1.0
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 2 / 20
Literature review
WOM literature:
I Theoretical: Campbell (2010), Goyal and Galeotti (2009), Lopez-Pintado &Watts (2009)
I Empirical: Leskovec et al. (2008), Iribarren and Moro (2007)
Homophily:
I Friendship and segregation: Currarini, Jackson & Pin (2009)
I Learning and diffusion: Jackson & Golub (2010)
I Social norms and preferences: Christakis & Fowler (2007), Fiore and Donath(2005)
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 3 / 20
Literature review
WOM literature:
I Theoretical: Campbell (2010), Goyal and Galeotti (2009), Lopez-Pintado &Watts (2009)
I Empirical: Leskovec et al. (2008), Iribarren and Moro (2007)
Homophily:
I Friendship and segregation: Currarini, Jackson & Pin (2009)
I Learning and diffusion: Jackson & Golub (2010)
I Social norms and preferences: Christakis & Fowler (2007), Fiore and Donath(2005)
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 3 / 20
Model
Network structure:
There is measure γ of consumers of type A and 1− γ of type B.
Consumers are embedded into undirected network of social contacts:
I Degree distribution p(k).
I Vector (ρA, ρB) identifies proportion of consumers of the same type in theneighborhood of a randomly chosen consumer of type A and B.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 4 / 20
Model
Network structure:
There is measure γ of consumers of type A and 1− γ of type B.
Consumers are embedded into undirected network of social contacts:
I Degree distribution p(k).
I Vector (ρA, ρB) identifies proportion of consumers of the same type in theneighborhood of a randomly chosen consumer of type A and B.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 4 / 20
Model
Network structure:
There is measure γ of consumers of type A and 1− γ of type B.
Consumers are embedded into undirected network of social contacts:
I Degree distribution p(k).
I Vector (ρA, ρB) identifies proportion of consumers of the same type in theneighborhood of a randomly chosen consumer of type A and B.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 4 / 20
Model
Network structure:
There is measure γ of consumers of type A and 1− γ of type B.
Consumers are embedded into undirected network of social contacts:I Degree distribution p(k).
I Vector (ρA, ρB) identifies proportion of consumers of the same type in theneighborhood of a randomly chosen consumer of type A and B.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 4 / 20
Model
Network structure:
There is measure γ of consumers of type A and 1− γ of type B.
Consumers are embedded into undirected network of social contacts:I Degree distribution p(k).
I Vector (ρA, ρB) identifies proportion of consumers of the same type in theneighborhood of a randomly chosen consumer of type A and B.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 4 / 20
Model cont’d
Consumers:
Heterogenous preferences towards the product
I Across types:
F Type A prefers high values of characteristic w
F Type B prefers low values of characteristic w
I Within types:
F Reservation price P̄j
F Threshold level of the product’s characteristic w̄j, s.t. induces a consumer tobuy the product
Consumers can buy the product only if they learn about it from:
I Direct advertisement.
I Observing a neighbor who has already acquired the product.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 5 / 20
Model cont’d
Consumers:
Heterogenous preferences towards the product
I Across types:
F Type A prefers high values of characteristic w
F Type B prefers low values of characteristic w
I Within types:
F Reservation price P̄j
F Threshold level of the product’s characteristic w̄j, s.t. induces a consumer tobuy the product
Consumers can buy the product only if they learn about it from:
I Direct advertisement.
I Observing a neighbor who has already acquired the product.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 5 / 20
Model cont’d
Consumers:
Heterogenous preferences towards the productI Across types:
F Type A prefers high values of characteristic w
F Type B prefers low values of characteristic w
I Within types:
F Reservation price P̄j
F Threshold level of the product’s characteristic w̄j, s.t. induces a consumer tobuy the product
Consumers can buy the product only if they learn about it from:
I Direct advertisement.
I Observing a neighbor who has already acquired the product.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 5 / 20
Model cont’d
Consumers:
Heterogenous preferences towards the productI Across types:
F Type A prefers high values of characteristic w
F Type B prefers low values of characteristic w
I Within types:F Reservation price P̄j
F Threshold level of the product’s characteristic w̄j, s.t. induces a consumer tobuy the product
Consumers can buy the product only if they learn about it from:
I Direct advertisement.
I Observing a neighbor who has already acquired the product.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 5 / 20
Model cont’d
Consumers:
Heterogenous preferences towards the productI Across types:
F Type A prefers high values of characteristic w
F Type B prefers low values of characteristic w
I Within types:F Reservation price P̄j
F Threshold level of the product’s characteristic w̄j, s.t. induces a consumer tobuy the product
Consumers can buy the product only if they learn about it from:
I Direct advertisement.
I Observing a neighbor who has already acquired the product.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 5 / 20
Model cont’d
Monopolist:
Knows degree distribution p(k) and homophily levels (ρA, ρB).
Maximizes profits by choosing:
I Price P ∈ [0, 1]
I Characteristic of the product w ∈ [0, 1]
Cost of production is 0.
To induce sales the monopolist advertises product to infinitesimal part of thepopulation.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 6 / 20
Model cont’d
Monopolist:
Knows degree distribution p(k) and homophily levels (ρA, ρB).
Maximizes profits by choosing:
I Price P ∈ [0, 1]
I Characteristic of the product w ∈ [0, 1]
Cost of production is 0.
To induce sales the monopolist advertises product to infinitesimal part of thepopulation.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 6 / 20
Model cont’d
Monopolist:
Knows degree distribution p(k) and homophily levels (ρA, ρB).
Maximizes profits by choosing:
I Price P ∈ [0, 1]
I Characteristic of the product w ∈ [0, 1]
Cost of production is 0.
To induce sales the monopolist advertises product to infinitesimal part of thepopulation.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 6 / 20
Model cont’d
Monopolist:
Knows degree distribution p(k) and homophily levels (ρA, ρB).
Maximizes profits by choosing:
I Price P ∈ [0, 1]
I Characteristic of the product w ∈ [0, 1]
Cost of production is 0.
To induce sales the monopolist advertises product to infinitesimal part of thepopulation.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 6 / 20
Model cont’d
Monopolist:
Knows degree distribution p(k) and homophily levels (ρA, ρB).
Maximizes profits by choosing:
I Price P ∈ [0, 1]
I Characteristic of the product w ∈ [0, 1]
Cost of production is 0.
To induce sales the monopolist advertises product to infinitesimal part of thepopulation.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 6 / 20
Model cont’d
Monopolist:
Knows degree distribution p(k) and homophily levels (ρA, ρB).
Maximizes profits by choosing:
I Price P ∈ [0, 1]
I Characteristic of the product w ∈ [0, 1]
Cost of production is 0.
To induce sales the monopolist advertises product to infinitesimal part of thepopulation.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 6 / 20
Model cont’d
Monopolist:
Knows degree distribution p(k) and homophily levels (ρA, ρB).
Maximizes profits by choosing:
I Price P ∈ [0, 1]
I Characteristic of the product w ∈ [0, 1]
Cost of production is 0.
To induce sales the monopolist advertises product to infinitesimal part of thepopulation.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 6 / 20
Baseline model assumptions
Population:
Consumers of type A and B constitute half of the population γ = 0.5 andconsequently ρ = ρA = ρB
Preferences:
Reservation price P̄j and threshold value of characteristic w̄j are i.i.d. U[0, 1]
Consumers buy the product with probability:
I Type A: qA = Pr(w ≥ w̄j ∩ P ≤ P̄j) = (1− P)w
I Type B: qB = Pr(w ≤ w̄j ∩ P ≤ P̄j) = (1− P)(1− w)
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 7 / 20
Baseline model assumptions
Population:
Consumers of type A and B constitute half of the population γ = 0.5 andconsequently ρ = ρA = ρB
Preferences:
Reservation price P̄j and threshold value of characteristic w̄j are i.i.d. U[0, 1]
Consumers buy the product with probability:
I Type A: qA = Pr(w ≥ w̄j ∩ P ≤ P̄j) = (1− P)w
I Type B: qB = Pr(w ≤ w̄j ∩ P ≤ P̄j) = (1− P)(1− w)
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 7 / 20
Baseline model assumptions
Population:
Consumers of type A and B constitute half of the population γ = 0.5 andconsequently ρ = ρA = ρB
Preferences:
Reservation price P̄j and threshold value of characteristic w̄j are i.i.d. U[0, 1]
Consumers buy the product with probability:
I Type A: qA = Pr(w ≥ w̄j ∩ P ≤ P̄j) = (1− P)w
I Type B: qB = Pr(w ≤ w̄j ∩ P ≤ P̄j) = (1− P)(1− w)
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 7 / 20
Baseline model assumptions
Population:
Consumers of type A and B constitute half of the population γ = 0.5 andconsequently ρ = ρA = ρB
Preferences:
Reservation price P̄j and threshold value of characteristic w̄j are i.i.d. U[0, 1]
Consumers buy the product with probability:
I Type A: qA = Pr(w ≥ w̄j ∩ P ≤ P̄j) = (1− P)w
I Type B: qB = Pr(w ≤ w̄j ∩ P ≤ P̄j) = (1− P)(1− w)
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 7 / 20
Baseline model assumptions
Population:
Consumers of type A and B constitute half of the population γ = 0.5 andconsequently ρ = ρA = ρB
Preferences:
Reservation price P̄j and threshold value of characteristic w̄j are i.i.d. U[0, 1]
Consumers buy the product with probability:
I Type A: qA = Pr(w ≥ w̄j ∩ P ≤ P̄j) = (1− P)w
I Type B: qB = Pr(w ≤ w̄j ∩ P ≤ P̄j) = (1− P)(1− w)
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 7 / 20
Baseline model assumptions
Population:
Consumers of type A and B constitute half of the population γ = 0.5 andconsequently ρ = ρA = ρB
Preferences:
Reservation price P̄j and threshold value of characteristic w̄j are i.i.d. U[0, 1]
Consumers buy the product with probability:I Type A: qA = Pr(w ≥ w̄j ∩ P ≤ P̄j) = (1− P)w
I Type B: qB = Pr(w ≤ w̄j ∩ P ≤ P̄j) = (1− P)(1− w)
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 7 / 20
Baseline model assumptions
Population:
Consumers of type A and B constitute half of the population γ = 0.5 andconsequently ρ = ρA = ρB
Preferences:
Reservation price P̄j and threshold value of characteristic w̄j are i.i.d. U[0, 1]
Consumers buy the product with probability:I Type A: qA = Pr(w ≥ w̄j ∩ P ≤ P̄j) = (1− P)w
I Type B: qB = Pr(w ≤ w̄j ∩ P ≤ P̄j) = (1− P)(1− w)
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 7 / 20
Illustration of the monopolist problem
Monopolist chooses optimally characteristic w and price P to maximizeprofits:
w = 0.
0 1 - PqA
1 - P
qB
A BB
A
A
A
A
B
B
B
A
B
B
A
A
Preferences frontier Induced network of potential buyers
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 8 / 20
Illustration of the monopolist problem
Monopolist chooses optimally characteristic w and price P to maximizeprofits:
w = 0.25
0 1 - PqA
1 - P
qB
A BB
A
A
A
A
B
B
B
A
B
B
A
A
Preferences frontier Induced network of potential buyers
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 8 / 20
Illustration of the monopolist problem
Monopolist chooses optimally characteristic w and price P to maximizeprofits:
w = 0.5
0 1 - PqA
1 - P
qB
A BB
A
A
A
A
B
B
B
A
B
B
A
A
Preferences frontier Induced network of potential buyers
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 8 / 20
Illustration of the monopolist problem
Monopolist chooses optimally characteristic w and price P to maximizeprofits:
w = 0.75
0 1 - PqA
1 - P
qB
A BB
A
A
A
A
B
B
B
A
B
B
A
A
Preferences frontier Induced network of potential buyers
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 8 / 20
Illustration of the monopolist problem
Monopolist chooses optimally characteristic w and price P to maximizeprofits:
w = 1.
0 1 - PqA
1 - P
qB
A BB
A
A
A
A
B
B
B
A
B
B
A
A
Preferences frontier Induced network of potential buyers
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 8 / 20
Illustration of the monopolist problem
Monopolist chooses optimally characteristic w and price P to maximizeprofits:
P¯
P
0 1 - PqA
1 - P
qB
A BB
A
A
A
A
B
B
B
A
B
B
A
A
Preferences frontier Induced network of potential buyers
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 8 / 20
Cascade of sales per advertisement
We modify Newman’s mixing patterns model by incorporating consumersdecision to buy the product (probability that a node is operational).
Expected size of cascade of sales per advertisement:
s(qA, qB , ρ, z1, z2, γ) =
(γ 1− γ)
[I +
z21z2
([I− z2
z1
(qAρ qA(1− ρ)
qB(1− ρ) qBρ
)]−1− I
)](qA
qB
)where z1 and z2 are expected numbers of first and second neighbors.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 9 / 20
Cascade of sales per advertisement
We modify Newman’s mixing patterns model by incorporating consumersdecision to buy the product (probability that a node is operational).
Expected size of cascade of sales per advertisement:
s(qA, qB , ρ, z1, z2, γ) =
(γ 1− γ)
[I +
z21z2
([I− z2
z1
(qAρ qA(1− ρ)
qB(1− ρ) qBρ
)]−1− I
)](qA
qB
)where z1 and z2 are expected numbers of first and second neighbors.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 9 / 20
The global cascade phase
The global cascade: advertisement to infinitesimal part of the populationleads to acquisition of the product by non-zero proportion of the population.
Proposition
If z2z1> min{2, ρ−1} there exist combinations of product characteristic and price
(w ,P) such that global cascade of sales arises.
Necessary condition for existence of the giant component of connectedconsumers, z2
z1> 1.
The existence of the global cascade in the case when z2z1< 2 hinges on the
homophily level.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 10 / 20
The global cascade phase
The global cascade: advertisement to infinitesimal part of the populationleads to acquisition of the product by non-zero proportion of the population.
Proposition
If z2z1> min{2, ρ−1} there exist combinations of product characteristic and price
(w ,P) such that global cascade of sales arises.
Necessary condition for existence of the giant component of connectedconsumers, z2
z1> 1.
The existence of the global cascade in the case when z2z1< 2 hinges on the
homophily level.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 10 / 20
The global cascade phase
The global cascade: advertisement to infinitesimal part of the populationleads to acquisition of the product by non-zero proportion of the population.
Proposition
If z2z1> min{2, ρ−1} there exist combinations of product characteristic and price
(w ,P) such that global cascade of sales arises.
Necessary condition for existence of the giant component of connectedconsumers, z2
z1> 1.
The existence of the global cascade in the case when z2z1< 2 hinges on the
homophily level.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 10 / 20
The global cascade phase
The global cascade: advertisement to infinitesimal part of the populationleads to acquisition of the product by non-zero proportion of the population.
Proposition
If z2z1> min{2, ρ−1} there exist combinations of product characteristic and price
(w ,P) such that global cascade of sales arises.
Necessary condition for existence of the giant component of connectedconsumers, z2
z1> 1.
The existence of the global cascade in the case when z2z1< 2 hinges on the
homophily level.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 10 / 20
Optimal design strategy:
0 12
1Ρ
12
1w*
Proposition
The optimal characteristic of the product is the following correspondence:
w∗ =
[0, 1], ρ = 1
21/2, ρ < 1
2{0, 1}, ρ > 1
2
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 11 / 20
Optimal design strategy: Intuition
ρ = 0 ρ = 1
Case ρ = 0:
I All neighbors are of different type.
I Spreading depends on the attractiveness of the product to both types.
Case ρ = 1:
I Two clusters of consumers of the same type.
I Specialized design is optimal.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 12 / 20
Optimal design strategy: Intuition
ρ = 0 ρ = 1
Case ρ = 0:I All neighbors are of different type.
I Spreading depends on the attractiveness of the product to both types.
Case ρ = 1:
I Two clusters of consumers of the same type.
I Specialized design is optimal.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 12 / 20
Optimal design strategy: Intuition
ρ = 0 ρ = 1
Case ρ = 0:I All neighbors are of different type.
I Spreading depends on the attractiveness of the product to both types.
Case ρ = 1:I Two clusters of consumers of the same type.
I Specialized design is optimal.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 12 / 20
Optimal pricing strategy:
P*
P*FI
0.5Ρ
0.5
0.32
P
Proposition
The optimal price P∗ is lower than in the case of full information and forρ > 1
2 is strictly decreasing function in the level of homophily.
For two degree distributions p(k) and p’(k) and corresponding optimal pricesP∗ and P ′
∗if p(k) is a mean preserving spread of p’(k) then P∗ < P ′
∗.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 13 / 20
Demand function
Q(P, ρ, z1, z2) =
1−P2
(1 + z1(1−P)
2−z2/z1(1−P)
), ρ ≤ 1
2
1−P2
(1 + z1(1−P)
1ρ−z2/z1(1−P)
), ρ > 1
2
Proposition
The demand function Q(P, ρ, z1, z2) has following properties:
1 Decreasing and convex in price P.
2 Increasing and convex in homophily level ρ, for ρ > 12 .
3 The absolute value of the price elasticity of demand is:
P
1− P
(1 + z1
(1
z1 − (1− P)z2ρ− 1
z1 + (1− P)(z12 − z2)ρ
)),
which is higher than price elasticity in the case of full information P1−P and is
increasing in homophily level ρ, for ρ > 12 .
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 14 / 20
Demand function
Q(P, ρ, z1, z2) =
1−P2
(1 + z1(1−P)
2−z2/z1(1−P)
), ρ ≤ 1
2
1−P2
(1 + z1(1−P)
1ρ−z2/z1(1−P)
), ρ > 1
2
Proposition
The demand function Q(P, ρ, z1, z2) has following properties:
1 Decreasing and convex in price P.
2 Increasing and convex in homophily level ρ, for ρ > 12 .
3 The absolute value of the price elasticity of demand is:
P
1− P
(1 + z1
(1
z1 − (1− P)z2ρ− 1
z1 + (1− P)(z12 − z2)ρ
)),
which is higher than price elasticity in the case of full information P1−P and is
increasing in homophily level ρ, for ρ > 12 .
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 14 / 20
Demand: IntuitionDemand is decreasing and convex in P.
A1
B2
B3
A4
A5
A6
B7
B8
B9 B
10
A11B
12
B13
A14
A15
Induced network of buyers.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 15 / 20
Demand: IntuitionDemand is decreasing and convex in P.
A1
B2
B3
A4
A5
A6
B7
B8
B9 B
10
A11B
12
B13
A14
A15
Induced network of buyers.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 15 / 20
Demand: IntuitionDemand is decreasing and convex in P.
A1
B2
B3
A4
A5
A6
B7
B8
B9 B
10
A11B
12
B13
A14
A15
Induced network of buyers.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 15 / 20
Demand: IntuitionDemand is decreasing and convex in P.
A1
B2
B3
A4
A5
A6
B7
B8
B9 B
10
A11B
12
B13
A14
A15
Induced network of buyers.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 15 / 20
Demand: IntuitionDemand is decreasing and convex in P.
A1
B2
B3
A4
A5
A6
B7
B8
B9 B
10
A11B
12
B13
A14
A15
Induced network of buyers.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 15 / 20
Demand: IntuitionDemand is decreasing and convex in P.
A1
B2
B3
A4
A5
A6
B7
B8
B9 B
10
A11B
12
B13
A14
A15
Induced network of buyers.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 15 / 20
Demand: IntuitionDemand is decreasing and convex in P.
A1
B2
B3
A4
A5
A6
B7
B8
B9 B
10
A11B
12
B13
A14
A15
Induced network of buyers.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 15 / 20
Welfare
Proposition
Consumers and producers surplus are increasing functions in the homophily levelof the society.
Monopolist surplus is increasing in the level of homophily
I Demand is increasing in the level of homophily.
PS(P∗(ρ), ρ, z1, z2) = P∗(ρ)× Q(P∗(ρ), ρ, z1, z2)
Consumer surplus is increasing in the level of homophily
I Demand is increasing - more consumers buy the product.
I The optimal price is decreasing in the level of homophily.
CS(P∗(ρ), ρ, z1, z2) =
∫ 1
P∗(ρ)Q(P, ρ, z1, z2)dP
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 16 / 20
Welfare
Proposition
Consumers and producers surplus are increasing functions in the homophily levelof the society.
Monopolist surplus is increasing in the level of homophily
I Demand is increasing in the level of homophily.
PS(P∗(ρ), ρ, z1, z2) = P∗(ρ)× Q(P∗(ρ), ρ, z1, z2)
Consumer surplus is increasing in the level of homophily
I Demand is increasing - more consumers buy the product.
I The optimal price is decreasing in the level of homophily.
CS(P∗(ρ), ρ, z1, z2) =
∫ 1
P∗(ρ)Q(P, ρ, z1, z2)dP
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 16 / 20
Welfare
Proposition
Consumers and producers surplus are increasing functions in the homophily levelof the society.
Monopolist surplus is increasing in the level of homophilyI Demand is increasing in the level of homophily.
PS(P∗(ρ), ρ, z1, z2) = P∗(ρ)× Q(P∗(ρ), ρ, z1, z2)
Consumer surplus is increasing in the level of homophily
I Demand is increasing - more consumers buy the product.
I The optimal price is decreasing in the level of homophily.
CS(P∗(ρ), ρ, z1, z2) =
∫ 1
P∗(ρ)Q(P, ρ, z1, z2)dP
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 16 / 20
Welfare
Proposition
Consumers and producers surplus are increasing functions in the homophily levelof the society.
Monopolist surplus is increasing in the level of homophilyI Demand is increasing in the level of homophily.
PS(P∗(ρ), ρ, z1, z2) = P∗(ρ)× Q(P∗(ρ), ρ, z1, z2)
Consumer surplus is increasing in the level of homophily
I Demand is increasing - more consumers buy the product.
I The optimal price is decreasing in the level of homophily.
CS(P∗(ρ), ρ, z1, z2) =
∫ 1
P∗(ρ)Q(P, ρ, z1, z2)dP
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 16 / 20
Welfare
Proposition
Consumers and producers surplus are increasing functions in the homophily levelof the society.
Monopolist surplus is increasing in the level of homophilyI Demand is increasing in the level of homophily.
PS(P∗(ρ), ρ, z1, z2) = P∗(ρ)× Q(P∗(ρ), ρ, z1, z2)
Consumer surplus is increasing in the level of homophilyI Demand is increasing - more consumers buy the product.
I The optimal price is decreasing in the level of homophily.
CS(P∗(ρ), ρ, z1, z2) =
∫ 1
P∗(ρ)Q(P, ρ, z1, z2)dP
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 16 / 20
Model Extensions
Targeted advertisement.I Targeting advertisement is always optimal.
I For high enough connectivity the optimal design is the same as withouttargeting.
Non-linear probability frontier.I Bend inward frontier - results are the same.
I Bend outward frontier - similar shape, but design is continuous.
Monopolist benefits from one group.I Low levels of homophily - compromise design is still optimal.
I High levels of homophily - compromise design is optimal when audience issmall.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 17 / 20
Model Extensions
Targeted advertisement.I Targeting advertisement is always optimal.
I For high enough connectivity the optimal design is the same as withouttargeting.
Non-linear probability frontier.I Bend inward frontier - results are the same.
I Bend outward frontier - similar shape, but design is continuous.
Monopolist benefits from one group.I Low levels of homophily - compromise design is still optimal.
I High levels of homophily - compromise design is optimal when audience issmall.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 17 / 20
Model Extensions
Targeted advertisement.I Targeting advertisement is always optimal.
I For high enough connectivity the optimal design is the same as withouttargeting.
Non-linear probability frontier.I Bend inward frontier - results are the same.
I Bend outward frontier - similar shape, but design is continuous.
Monopolist benefits from one group.I Low levels of homophily - compromise design is still optimal.
I High levels of homophily - compromise design is optimal when audience issmall.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 17 / 20
Selling to one type.
Price P is fixed and the monopolist maximizes sales to consumers of type B.
0.0 0.2 0.4 0.6 0.8 1.00.0
0.2
0.4
0.6
0.8
1.0
Ρ
w*
Proposition
There is threshold value ρ̂1(z1, z2) such that if ρ < ρ̂1(z1, z2) the optimalcharacteristic w∗1 belongs to the interval
(0, 12], while if ρ > ρ̂1(z1, z2) then w∗1 = 0
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 18 / 20
Selling to one type.
Price P is fixed and the monopolist maximizes sales to consumers of type B.
0.0 0.2 0.4 0.6 0.8 1.00.0
0.2
0.4
0.6
0.8
1.0
Ρ
w*
Proposition
There is threshold value ρ̂1(z1, z2) such that if ρ < ρ̂1(z1, z2) the optimalcharacteristic w∗1 belongs to the interval
(0, 12], while if ρ > ρ̂1(z1, z2) then w∗1 = 0
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 18 / 20
Selling to one type.
Consumers of type A constitute 80% of the population (γ = 0.8). Themonopolist maximizes sales to consumers of type B.
The solution:
0.75 0.80 0.85 0.90 0.95 1.000.0
0.2
0.4
0.6
0.8
1.0
ΡA
w*
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 19 / 20
Selling to one type.
Consumers of type A constitute 80% of the population (γ = 0.8). Themonopolist maximizes sales to consumers of type B.
The solution:
0.75 0.80 0.85 0.90 0.95 1.000.0
0.2
0.4
0.6
0.8
1.0
ΡA
w*
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 19 / 20
Conclusions
For low levels of homophily the compromise design of product is preferred tospecialized products even if there is no cost of producing more than one typeof product.
Price elasticity of demand is increasing in the homophily level.
Monopolist and consumers benefit from increase in the level of homophily.
A product designed to attract both types of consumers may be optimal evenif a monopolist benefits only from one group of consumers.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 20 / 20
Conclusions
For low levels of homophily the compromise design of product is preferred tospecialized products even if there is no cost of producing more than one typeof product.
Price elasticity of demand is increasing in the homophily level.
Monopolist and consumers benefit from increase in the level of homophily.
A product designed to attract both types of consumers may be optimal evenif a monopolist benefits only from one group of consumers.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 20 / 20
Conclusions
For low levels of homophily the compromise design of product is preferred tospecialized products even if there is no cost of producing more than one typeof product.
Price elasticity of demand is increasing in the homophily level.
Monopolist and consumers benefit from increase in the level of homophily.
A product designed to attract both types of consumers may be optimal evenif a monopolist benefits only from one group of consumers.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 20 / 20
Conclusions
For low levels of homophily the compromise design of product is preferred tospecialized products even if there is no cost of producing more than one typeof product.
Price elasticity of demand is increasing in the homophily level.
Monopolist and consumers benefit from increase in the level of homophily.
A product designed to attract both types of consumers may be optimal evenif a monopolist benefits only from one group of consumers.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 20 / 20
Conclusions
For low levels of homophily the compromise design of product is preferred tospecialized products even if there is no cost of producing more than one typeof product.
Price elasticity of demand is increasing in the homophily level.
Monopolist and consumers benefit from increase in the level of homophily.
A product designed to attract both types of consumers may be optimal evenif a monopolist benefits only from one group of consumers.
Roman Chuhay (ICEF, CAS, HSE) Marketing via Friends 2011 20 / 20